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Social network analysis software

From Wikipedia, the free encyclopedia

Jump to: navigation, search

Social network analysis software is used to identify, represent, analyze, visualize, or simulate nodes (e.g. agents, organizations, or knowledge) and edges (relationships) from various types of input data (relational and non-relational), including mathematical models of social networks. The output data can be saved in external files. Various input and output file formats exist.

Network analysis tools allow researchers to investigate representations of networks of different size - from small (e.g. families, project teams) to very large (e.g. the Internet, disease transmission). The various tools provide mathematical and statistical routines that can be applied to the network model.

Visual representations of social networks are important to understand network data and convey the result of the analysis [1]. Visualization is often used as an additional or standalone data analysis method. With respect to visualization, network analysis tools are used to change the layout, colors, size and other properties of the network representation.

social network tools are:

  • For scholarly research tools like UCINet [2], Pajek [3], ORA [4], the statnet [5] suite of packages in R, and GUESS [6] are popular.
  • Examples of business oriented social network tools include InFlow[7], Keyhubs [8], NetMiner [9]].
  • An open source package with GUI for Linux, Windows and Mac, is Social Networks Visualizer or SocNetV [10], developed in Qt/C++.
  • Another generic open source package for Windows, Linux and OS X with interfaces to Python and R is "igraph" [11]
  • For Mac OS X a related package installer of SocNetV [12] is available.
  • For integrated egocentric data collection and visualization SocioMetrica

A systematic overview and comparison of a selection of software packages for social network analysis was provided by Huisman and Van Duijn (see references or Draft(PDF)). A large list of software packages and libraries can be found under Computer Programs for Social Network Analysis, maintained by the International Network for Social Network Analysis (INSNA).

Collection of Social Network Analysis Tools and Libraries

Product  ↓ Main Functionality  ↓ Input Format  ↓ Output Format  ↓ Platform  ↓ Cost  ↓ Notes  ↓
AutoMap[13] Network Text Analysis .txt DyNetML[14], .csv Any (it's in Java) Freeware for non-commercial use Text mining tool that supports the extraction of relational data from texts. Distills three types of information: content analysis, semantic networks, ontologically coded networks. In order to do this, a variety of Natural Language Processing/ Information Extraction routines is provided (e.g. Stemming, Parts of Speech Tagging, Named-Entity Recognition, usage of user-defined ontologies, reduction and normalization, Anaphora Resolution, email data analysis, feature identification, entropy computation, reading and writing from and to default or user-specified database).
Commetrix [15] Dynamic network visualization & analysis Commetrix-Files, direct import from data sources/DB's, (standard DB and File Specs upcoming) CSV Tables for SNA Metrics over time,(Graph Videos per Screencast), Keywords, Graphs, etc. in GUI Any system supporting java (developed for Windows Platform) Free trial, commercial licenses, free research collaboration (in beta-user group), Commetrix is a Software Framework and Tool for Dynamic Network Analysis and Visualization. It provides easy exploratory access to network graphs and has been applied to study co-authorship, Instant Messaging, manual SNA surveys, e-mail, newsgroups, etc. Each node and each linking event can have properties, e.g. types of messages or rank of nodes, but also types, topics, or time stamps. This allows animations of network growth, structural change, and topic diffusion. A short introductory video is available on the website.
DyNet [16] Data analysis *.agf(proprietary), *.net(pajek), *.txt *.agf(proprietary), *.net(pajek), *.txt ? Proprietary(starting from $3000/user) DyNet SE (Standard Edition) is an innovative software tool to analyse pools of complex data unveiling relations and interconnections via graphical and verbose outputs. DyNet SE is based on social network theory therefore relational data is visualised in terms of networks.
EgoNet Active Development or Explanation Ego-centric network analysis Conducts interviews or takes any valid XML file Output to CSV and convertible to almost any other format Any system supporting Java Open Source, seeking contributors Egonet is a program for the collection and analysis of egocentric network data. Egonet contains facilities to assist in creating the questionnaire, collecting the data and providing general global network measures and data matrixes that can be used in further analysis by other software programs.
igraph[17] Analysis and visualization of very large networks .txt (edge list), .graphml, .dot, .gml, .ncol, .lgl, .net .txt (edge list), .graphml, .dot. .gml, .ncol, .lgl, .net Windows, Linux, Mac OS X Open source (GNU GPL) igraph is a C library for the analysis of large networks. It includes fast implementations for classic graph theory problems and recent network analysis methods like community structure search, cohesive blocking, structural holes, dyad and triad census and motif count estimation. Higher level interfaces are available for R, Python and Ruby.
InFlow [18] Interactive network mapping and network metrics in one integrated application for social and organizational network analysis. Easy data import from Microsoft Office[PC/MAC] and CSV files Export graphics to Microsoft Office [PC/MAC] -- Powerpoint, Word, Visio -- and network files to interactive Java applet for WWW Windows 2000, XP, Vista Commercial, Site, and Academic licenses available. Training & Mentoring in social network analysis, data gathering, and software application, is also available. InFlow is intended for business users, and is designed for ease-of-use, multiple networks per node set, and what-if capabilities. Network data can be entered via 1) CSV files, from data bases and spreadsheets, 2) automated survey tools such as NetworkGenie, Optimice, etc. 3) data entry screens with paper surveys, or 4) drawn by hand with mouse, using node & link tools in graphics window. Most popular network metrics included: Density, Geodesics, Freeman Centralities, Watts-Strogatz Small World, Structural Equivalence, Cluster Analysis, Krackhardt E/I Ratio, and Krebs Reach & Weighted Average Path Length. Metrics are executed based on current network view -- you measure what is mapped. Many network layouts are possible using automated algorithms and geometric layouts[arcs, lines, etc] resulting in an unlimited number of custom views. Different actions can be taken on selected nodes vs. unselected nodes. Projects using InFlow can be viewed here [19].
Java Universal Network/Graph (JUNG) Framework network and graph manipulation, analysis, and visualization built-in support for GraphML, Pajek, and some text formats; user can create parsers for any desired format built-in support for GraphML, Pajek, and some text formats; user can create exporters for any desired format Any platform supporting Java Open source (BSD license) JUNG is a Java API and library that provides a common and extensible language for the modeling, analysis, and visualization of relational data. It supports a variety of graph types (including hypergraphs), supports graph elements of any type and with any properties, enables customizable visualizations, and includes algorithms from graph theory, data mining, and social network analysis (e.g., clustering, decomposition, optimization, random graph generation, statistical analysis, distances, flows, and centrality (PageRank, HITS, etc.)). It has been used to analyze networks in excess of 1 million nodes (although visualizations are currently more limited), and is limited only by the amount of memory allocated to Java.
Keyhubs [20] A Simple, Online Tool for Mapping Informal Networks www.keyhubs.com www.keyhubs.com Any platform supporting Internet Explorer Free (Limited Version), Monthly Software Subscription (Full Version) Keyhubs allows managers and business leaders to map human relationships (informal networks) in their organization quickly and easily via a simple, online software service: www.keyhubs.com.
KrackPlot [21] Network visualization UCINET, Mathematica UCINET, Mathematica ? ? KrackPlot is a program for network visualization designed for social network analysts.
libSNA [22] Basic network statistics Csv Csv Any platform supporting python Open source(LGPL) libSNA is the premier open source library for conducting SNA research. Written in the object oriented programming language Python, libSNA provides a simple programming interface for applying SNA to large scale networks. libSNA is built on top of the open source library networkX; without networkX, libSNA would not be possible.
MetaSight [23] Email/communication network visualization and analysis email ? ? Commercial MetaSight is an enterprise social software application which uses data from routine e-mail to infer and map business expertise and relationships.
NodeXL [24] Network overview, discovery and exploration email, .csv (text), .txt, .xls (Excel), .xslt (Excel 2007), .net (Pajek) .csv (text), .txt, .xls (Excel), .xslt (Excel 2007) Windows XP/Vista Free (MPL) NodeXL is an Excel 2007 Add-in and C#/.Net library for network analysis and visualization. It integrates into Excel 2007 and adds directed graph as a chart type to the spreadsheet. Supports extracting email social networks. Allows for easy manipulation of underlying data in spreadsheet format.
NetMiner [25] All-in-one Software for Network Analysis and Visualization .xls(Excel), .csv(text), .dl(UCINET), .net(Pajek), .dat(StOCNET), .gml; NMF(proprietary) .xls(Excel), .csv(text), .dl(UCINET), .net(Pajek), .dat(StOCNET), NMF(proprietary) Microsoft Windows Commercial ($16/user ~ $6,600/user) with free trial NetMiner is a software tool for exploratory analysis and visualization of network data. Main features include : analysis of large networks, comprehensive network measures and models, both exploratory & confirmatory analysis, interactive visual analytics, what-if network analysis, built-in statistical procedures and charts, full documentation(1,000+ pages of User's Manual), expressive network data model, facilities for data & workflow management , and user-friendliness.
Network Genie [26] Social Network Survey Data collection Online survey and project design environment Output to CSV, InFLow[27], UCINET[28], NEGOPY [29] and MultiNet [30] Any web browser Payment assessed for the number of egos who complete surveys. $3.00 per ego with volume discounts. Network Genie is used to: (1) Design complete and egocentric network surveys using a wide variety of survey question formats; (2) Manage social network projects, including manage a collaborative team who have privileges defined by a project coordinator; (3) Collect social network data using online forms; and (4) Download and export data to the social network analysis program of your choice. Registration is free.
Network Workbench[31][32] Modeling, Analysis and Visualization of Large Scale Networks .net, .mat, .graphml, .nwb, .csv, xgmml .net, .mat, .graphml, .nwb, .csv, xgmml, .eps, .pdf Linux, Mac OS X, Windows, Solaris Open Source (Apache 2.0) Over 70 different algorithms to use (including GUESS and DrL)
NetworkX[33] NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. built-in support for many text formats; user can create parsers for any desired format Any platform supporting Python version >= 2.4 Open source (GPL and similar) Free NetworkX (NX) is a rich integrated toolset for graph creation, manipulation, analysis, and visualization. User interface is through scripting/command-line provided by python. NX includes a large set of key algorithms,

metrics and graph generators. Visualization is provided through pylab and graphviz. NX is an open-source project, in active development since < 2004 with an open bug-tracking site, and user forums. Development is sponsored by Los Alamos National Lab, and includes extensive unit-testing.

Onasurveys [34] Social Network Survey Data collection Online survey and project design environment Output to Microsoft Excel, Inflow[35] and Netdraw[36] Microsoft Internet Explorer Subscription based. Unlimited number of surveys. Pricing for commercial and academic use. Onasurveys is a fast and very user friendly tool aimed primarily at practitioners. Free registration provides full functionality, but export is limited to first 5 nodes.
ORA[37] Social Network Analysis DyNetML[38], .csv DyNetML, .csv Windows Freeware for non-commercial use Risk assessment tool for locating individuals or groups that are potential risks given social, knowledge and task network information. Based on network theory, social psychology, operations research, and management theory a series of measures of "criticality" have been implemented into ORA. find those people, types of skills or knowledge and tasks that are critical from a performance and information security perspective.
Pajek[39][40] Analysis and Visualization of Large Scale Networks .net, .paj, .dat(UCINET), .ged, .bs, .mac, .mol .net, .paj, .dat(UCINET), .xml(graphML), .bs Windows, Linux, Mac OS X Freeware for non-commercial use A widely used program for drawing networks, Pajek also has significant analytical capabilities, and can be used to calculate most centrality measures, identify structural holes, block-model, and so on. Macros can be recorded to perform repetitive tasks. Data can be sent directly to R, to calculate additional statistics.
R Social network analysis within the versatile and popular R environment R will read in almost any format data file R has write capability for most data formats Windows, Linux, Mac Open source R contains several packages relevant for social network analysis: igraph is a generic network analysis package; sna performs sociometric analysis of networks; network manipulates and displays network objects; ergm implements exponential random graph models for networks; latentnet has functions for network latent position and cluster models; degreenet provides tools for statistical modeling of network degree distributions; and networksis provides tools for simulating bipartite networks with fixed marginals. Most of these packages are part of the statnet suite, obtainable through the statnet meta-package.
Sentinel Visualizer [41] Comprehensive network analysis and visualization Structured XML and unstructured documents in Word, PDF, Excel, Text and HTML formats. Structured XML and unstructured documents in Word, PDF, Excel, Text and HTML formats. Microsoft Windows Commercial(starting from $2000/user) Sentinel Visualizer is a Windows-based program that provides data visualization, analysis and knowledgebase management all within one product. Sentinel Visualizer produces interactive dynamic link charts, timeline and geospatial views, and provides a variety of analysis tools including Social Network Analysis, temporal analysis and entity and relationship weighting. Sentinel Visualizer includes a multi-user knowledgebase for efficiently and economically storing analysis data.
SocioMetrica [42] EgoNet, LinkAlyzer, and VisuaLyzer applications DyNetML, Excel, DL, text, UCINET DyNetML, Excel, DL, text, UCINET, SPSS Windows Shareware A set of applications for interview-based gathering of egocentric data (EgoNet), linking of data records through matching of node attributes (LinkAlyzer), and visualization (VisuaLyzer). VisuaLyzer also provides prototype functionality for analysis using a relational algebra model. A relational programming language, RAlog, derives and analyzes representations in this relation algebra.
SocNetV [43] Social Networks Visualisation and Analysis Tool .net (pajek), .dot (GraphViz), .sm/.net (Sociomatrix), .xml (GraphML) .net (pajek), .dot (GraphViz), .sm/.net (Sociomatrix) Linux, Windows, Mac (Qt toolkit needed) Free Software (GPL3) SocNetV (Social Networks Visualiser) is an open-source GUI tool, developed in C++ programming language and the cross-platform Qt toolkit. Its primary purpose is to make easier for the researcher to draw social networks or plain graphs by clicking on a canvas. It can also compute network properties and statistics (centralities, etc) as well as apply various layout algorithms - for instance, nodes can be automatically positioned on circles or levels according to their betweeness centralities. Random networks creation is also supported. SocNetV can handle any number of nodes, although with a speed penalty when nodes are more than 3000 or the graph is quite dense (many edges).
SONIVIS [44] Network visualisation and analysis, especially Wiki-based information spaces .xml(graphML) .xml(graphML) Windows, Linux open-source (GPL) SONIVIS:Tool is a Java-based, open-source application, which is based on the Eclipse Rich Client Platform (RCP). The user interface is organized into three main perspectives: Analysis, Manipulation, and Statistics. Besides various Wiki and network analysis metrics, the tool provides predefined and user-definable graphical analyses. It offers a quick overview on current Wiki states or developments
statnet [45] Social network analysis within the versatile and popular R environment R will read in almost any format data file R has write capability for most data formats Windows, Linux, Mac Open source (GPL) A suite of R packages for social network analysis: sna performs sociometric analysis of networks; network manipulates and displays network objects; ergm implements exponential random graph models for networks; latentnet has functions for network latent position and cluster models; degreenet provides tools for statistical modeling of network degree distributions; and networksis provides tools for simulating bipartite networks with fixed marginals; the statnet meta-package allows for package management.
tnet [46] Social network analysis of weighted and longitudinal networks in R R will read in almost any format data file R has write capability for most data formats Windows, Linux, Mac Open source (GPL) A packages for social network analysis of weighted and longitudinal networks. Possible extensions are discussed here [47]
UCINET [48] Social Network Analysis tool Excel, DL, text, Pajek .net, Krackplot, Negopy, proprietary (##.d & ##.h) Excel, DL, text, Pajek .net, Krackplot, Mage, Metis, proprietary (##.d & ##.h) Windows Shareware A comprehensive package for the analysis of social network data as well as other 1-mode and 2-mode data. Can handle a maximum of 32,767 nodes (with some exceptions) although practically speaking many procedures get too slow around 5,000 - 10,000 nodes. Social network analysis methods include centrality measures, subgroup identification, role analysis, elementary graph theory, and permutation-based statistical analysis. In addition, the package has strong matrix analysis routines, such as matrix algebra and multivariate statistics.
UNISoN [49] Download usenet messages and save SNA output files Reads from free NNTP servers Creates CSV files and Pajek .net files Any system supporting Java Freeware A java application that can download Usenet messages from free NNTP servers, show the saved messages, then allow filtering of data to save to a Pajek network file or CSV file. It creates networks using the author of each post. If someone replies to a post, there is a unidirectional link created from the author of the post to the author of the message they are replying to. There is also a preview panel that shows the network visually.
UrlNet [50] Generation of social network analysis program input files World Wide Web pages, online search engine result sets, and Internet Web Service APIs currently generates Pajek projects [51] and GUESS .gdf files [52] Any (it's written in Python, requires v2.5 or higher [53]; source code is included) Freeware for non-commercial use UrlNet is a Python class library for generating networks based on Internet linkages. In the simplest case, UrlNet creates a tree by harvesting the outlink URLs from the page referenced by a root URL (level zero); retrieving each of those pages (level 1), harvesting their outlink URLs; retrieving those pages (level 2), harvesting their outlink URLs; et cetera to a caller-specified depth. UrlNet can also create "forests", the union of multiple tree networks. Specialized classes are provided for generation of networks from search engine result sets (6 search engines are currently supported).

UrlNet can also utilize URL-based Web Service APIs to generate networks. Current examples include Technorati's Cosmos API and three types of networks utilizing APIs provided by the National Center for Biological Information (NCBI) [54]. More than 20 example programs are provided, along with a 65-page user manual, to help Python programmers get up to speed.

VisuaLyzer [55] Network visualization Edgelist/Edgearray, Excel or GraphML formats Edgelist/Edgearray, Excel or GraphML formats ? Commercial Interactive tool for entering, visualizing and analyzing social network data.

Create nodes and links directly in VisuaLyzer, or import data from Edgelist/Edgearray, Excel or GraphML formats.

WAND [56] Ecological network analysis Scor files Scor files Microsoft Windows Open source(GPL)

[edit] References

  • Barnes, J. A. "Class and Committees in a Norwegian Island Parish", Human Relations 7:39-58
  • Berkowitz, S. D. 1982. An Introduction to Structural Analysis: The Network Approach to Social Research. Toronto: Butterworth.
  • Brandes, Ulrik, and Thomas Erlebach (Eds.). 2005. Network Analysis: Methodological Foundations Berlin, Heidelberg: Springer-Verlag.
  • Breiger, Ronald L. 2004. "The Analysis of Social Networks." Pp. 505–526 in Handbook of Data Analysis, edited by Melissa Hardy and Alan Bryman. London: Sage Publications. Excerpts in pdf format
  • Burt, Ronald S. (1992). Structural Holes: The Structure of Competition. Cambridge, MA: Harvard University Press.
  • Carrington, Peter J., John Scott and Stanley Wasserman (Eds.). 2005. Models and Methods in Social Network Analysis. New York: Cambridge University Press.
  • Christakis, Nicholas and James H. Fowler "The Spread of Obesity in a Large Social Network Over 32 Years," New England Journal of Medicine 357 (4): 370-379 (26 July 2007)
  • Doreian, Patrick, Vladimir Batagelj, and Anuska Ferligoj. (2005). Generalized Blockmodeling. Cambridge: Cambridge University Press.
  • Freeman, Linton C. (2004) The Development of Social Network Analysis: A Study in the Sociology of Science. Vancouver: Empirical Press.
  • Hill, R. and Dunbar, R. 2002. "Social Network Size in Humans." Human Nature, Vol. 14, No. 1, pp. 53–72.Google
  • Jackson, Matthew O. (2003). "A Strategic Model of Social and Economic Networks". Journal of Economic Theory 71: 44–74. doi:10.1006/jeth.1996.0108.  pdf
  • Huisman, M. and Van Duijn, M. A. J. (2005). Software for Social Network Analysis. In P J. Carrington, J. Scott, & S. Wasserman (Editors), Models and Methods in Social Network Analysis (pp. 270–316). New York: Cambridge University Press.
  • Krebs, Valdis (2002) Uncloaking Terrorist Networks, First Monday, volume 7, number 4 (Application of SNA software to terror nets Web Reference.)
  • Krebs, Valdis (2008) A Brief Introduction to Social Network Analysis (Common metrics in most SNA software Web Reference.)
  • Krebs, Valdis (2008) Various Case Studies & Projects using Social Network Analysis software Web Reference.)
  • Lin, Nan, Ronald S. Burt and Karen Cook, eds. (2001). Social Capital: Theory and Research. New York: Aldine de Gruyter.
  • Mullins, Nicholas. 1973. Theories and Theory Groups in Contemporary American Sociology. New York: Harper and Row.
  • Müller-Prothmann, Tobias (2006): Leveraging Knowledge Communication for Innovation. Framework, Methods and Applications of Social Network Analysis in Research and Development, Frankfurt a. M. et al.: Peter Lang, ISBN 0-8204-9889-0.
  • Manski, Charles F. (2000). "Economic Analysis of Social Interactions". Journal of Economic Perspectives 14: 115–36.  [57] via JSTOR
  • Moody, James, and Douglas R. White (2003). "Structural Cohesion and Embeddedness: A Hierarchical Concept of Social Groups." American Sociological Review 68(1):103-127. [58]
  • Newman, Mark (2003). "The Structure and Function of Complex Networks". SIAM Review 56: 167–256. doi:10.1137/S003614450342480.  pdf
  • Nohria, Nitin and Robert Eccles (1992). Networks in Organizations. second ed. Boston: Harvard Business Press.
  • Nooy, Wouter d., A. Mrvar and Vladimir Batagelj. (2005). Exploratory Social Network Analysis with Pajek. Cambridge: Cambridge University Press.
  • Scott, John. (2000). Social Network Analysis: A Handbook. 2nd Ed. Newberry Park, CA: Sage.
  • Tilly, Charles. (2005). Identities, Boundaries, and Social Ties. Boulder, CO: Paradigm press.
  • Valente, Thomas. (1995). Network Models of the Diffusion of Innovation. Cresskill, NJ: Hampton Press.
  • Wasserman, Stanley, & Faust, Katherine. (1994). Social Networks Analysis: Methods and Applications. Cambridge: Cambridge University Press.
  • Watkins, Susan Cott. (2003). "Social Networks." Pp. 909–910 in Encyclopedia of Population. rev. ed. Edited by Paul Demeny and Geoffrey McNicoll. New York: Macmillan Reference.
  • Watts, Duncan. (2003). Small Worlds: The Dynamics of Networks between Order and Randomness. Princeton: Princeton University Press.
  • Watts, Duncan. (2004). Six Degrees: The Science of a Connected Age. W. W. Norton & Company.
  • Wellman, Barry (1999). Networks in the Global Village. Boulder, CO: Westview Press.
  • Wellman, Barry. 2001. "Physical Place and Cyber-Place: Changing Portals and the Rise of Networked Individualism." International Journal for Urban and Regional Research 25 (2): 227-52.
  • Wellman, Barry and Berkowitz, S.D. (1988). Social Structures: A Network Approach. Cambridge: Cambridge University Press.
  • Weng, M. (2007). A Multimedia Social-Networking Community for Mobile Devices Interactive Telecommunications Program, Tisch School of the Arts/ New York University
  • White, Harrison, Scott Boorman and Ronald Breiger. 1976. "Social Structure from Multiple Networks: I Blockmodels of Roles and Positions." American Journal of Sociology 81: 730-80.
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Social network analysis software

From Wikipedia, the free encyclopedia

Jump to: navigation, search

Social network analysis software is used to identify, represent, analyze, visualize, or simulate nodes (e.g. agents, organizations, or knowledge) and edges (relationships) from various types of input data (relational and non-relational), including mathematical models of social networks. The output data can be saved in external files. Various input and output file formats exist.

Network analysis tools allow researchers to investigate representations of networks of different size - from small (e.g. families, project teams) to very large (e.g. the Internet, disease transmission). The various tools provide mathematical and statistical routines that can be applied to the network model.

Visual representations of social networks are important to understand network data and convey the result of the analysis [1]. Visualization is often used as an additional or standalone data analysis method. With respect to visualization, network analysis tools are used to change the layout, colors, size and other properties of the network representation.

social network tools are:

  • For scholarly research tools like UCINet [2], Pajek [3], ORA [4], the statnet [5] suite of packages in R, and GUESS [6] are popular.
  • Examples of business oriented social network tools include InFlow[7], Keyhubs [8], NetMiner [9]].
  • An open source package with GUI for Linux, Windows and Mac, is Social Networks Visualizer or SocNetV [10], developed in Qt/C++.
  • Another generic open source package for Windows, Linux and OS X with interfaces to Python and R is "igraph" [11]
  • For Mac OS X a related package installer of SocNetV [12] is available.
  • For integrated egocentric data collection and visualization SocioMetrica

A systematic overview and comparison of a selection of software packages for social network analysis was provided by Huisman and Van Duijn (see references or Draft(PDF)). A large list of software packages and libraries can be found under Computer Programs for Social Network Analysis, maintained by the International Network for Social Network Analysis (INSNA).

Collection of Social Network Analysis Tools and Libraries

Product  ↓ Main Functionality  ↓ Input Format  ↓ Output Format  ↓ Platform  ↓ Cost  ↓ Notes  ↓
AutoMap[13] Network Text Analysis .txt DyNetML[14], .csv Any (it's in Java) Freeware for non-commercial use Text mining tool that supports the extraction of relational data from texts. Distills three types of information: content analysis, semantic networks, ontologically coded networks. In order to do this, a variety of Natural Language Processing/ Information Extraction routines is provided (e.g. Stemming, Parts of Speech Tagging, Named-Entity Recognition, usage of user-defined ontologies, reduction and normalization, Anaphora Resolution, email data analysis, feature identification, entropy computation, reading and writing from and to default or user-specified database).
Commetrix [15] Dynamic network visualization & analysis Commetrix-Files, direct import from data sources/DB's, (standard DB and File Specs upcoming) CSV Tables for SNA Metrics over time,(Graph Videos per Screencast), Keywords, Graphs, etc. in GUI Any system supporting java (developed for Windows Platform) Free trial, commercial licenses, free research collaboration (in beta-user group), Commetrix is a Software Framework and Tool for Dynamic Network Analysis and Visualization. It provides easy exploratory access to network graphs and has been applied to study co-authorship, Instant Messaging, manual SNA surveys, e-mail, newsgroups, etc. Each node and each linking event can have properties, e.g. types of messages or rank of nodes, but also types, topics, or time stamps. This allows animations of network growth, structural change, and topic diffusion. A short introductory video is available on the website.
DyNet [16] Data analysis *.agf(proprietary), *.net(pajek), *.txt *.agf(proprietary), *.net(pajek), *.txt ? Proprietary(starting from $3000/user) DyNet SE (Standard Edition) is an innovative software tool to analyse pools of complex data unveiling relations and interconnections via graphical and verbose outputs. DyNet SE is based on social network theory therefore relational data is visualised in terms of networks.
EgoNet Active Development or Explanation Ego-centric network analysis Conducts interviews or takes any valid XML file Output to CSV and convertible to almost any other format Any system supporting Java Open Source, seeking contributors Egonet is a program for the collection and analysis of egocentric network data. Egonet contains facilities to assist in creating the questionnaire, collecting the data and providing general global network measures and data matrixes that can be used in further analysis by other software programs.
igraph[17] Analysis and visualization of very large networks .txt (edge list), .graphml, .dot, .gml, .ncol, .lgl, .net .txt (edge list), .graphml, .dot. .gml, .ncol, .lgl, .net Windows, Linux, Mac OS X Open source (GNU GPL) igraph is a C library for the analysis of large networks. It includes fast implementations for classic graph theory problems and recent network analysis methods like community structure search, cohesive blocking, structural holes, dyad and triad census and motif count estimation. Higher level interfaces are available for R, Python and Ruby.
InFlow [18] Interactive network mapping and network metrics in one integrated application for social and organizational network analysis. Easy data import from Microsoft Office[PC/MAC] and CSV files Export graphics to Microsoft Office [PC/MAC] -- Powerpoint, Word, Visio -- and network files to interactive Java applet for WWW Windows 2000, XP, Vista Commercial, Site, and Academic licenses available. Training & Mentoring in social network analysis, data gathering, and software application, is also available. InFlow is intended for business users, and is designed for ease-of-use, multiple networks per node set, and what-if capabilities. Network data can be entered via 1) CSV files, from data bases and spreadsheets, 2) automated survey tools such as NetworkGenie, Optimice, etc. 3) data entry screens with paper surveys, or 4) drawn by hand with mouse, using node & link tools in graphics window. Most popular network metrics included: Density, Geodesics, Freeman Centralities, Watts-Strogatz Small World, Structural Equivalence, Cluster Analysis, Krackhardt E/I Ratio, and Krebs Reach & Weighted Average Path Length. Metrics are executed based on current network view -- you measure what is mapped. Many network layouts are possible using automated algorithms and geometric layouts[arcs, lines, etc] resulting in an unlimited number of custom views. Different actions can be taken on selected nodes vs. unselected nodes. Projects using InFlow can be viewed here [19].
Java Universal Network/Graph (JUNG) Framework network and graph manipulation, analysis, and visualization built-in support for GraphML, Pajek, and some text formats; user can create parsers for any desired format built-in support for GraphML, Pajek, and some text formats; user can create exporters for any desired format Any platform supporting Java Open source (BSD license) JUNG is a Java API and library that provides a common and extensible language for the modeling, analysis, and visualization of relational data. It supports a variety of graph types (including hypergraphs), supports graph elements of any type and with any properties, enables customizable visualizations, and includes algorithms from graph theory, data mining, and social network analysis (e.g., clustering, decomposition, optimization, random graph generation, statistical analysis, distances, flows, and centrality (PageRank, HITS, etc.)). It has been used to analyze networks in excess of 1 million nodes (although visualizations are currently more limited), and is limited only by the amount of memory allocated to Java.
Keyhubs [20] A Simple, Online Tool for Mapping Informal Networks www.keyhubs.com www.keyhubs.com Any platform supporting Internet Explorer Free (Limited Version), Monthly Software Subscription (Full Version) Keyhubs allows managers and business leaders to map human relationships (informal networks) in their organization quickly and easily via a simple, online software service: www.keyhubs.com.
KrackPlot [21] Network visualization UCINET, Mathematica UCINET, Mathematica ? ? KrackPlot is a program for network visualization designed for social network analysts.
libSNA [22] Basic network statistics Csv Csv Any platform supporting python Open source(LGPL) libSNA is the premier open source library for conducting SNA research. Written in the object oriented programming language Python, libSNA provides a simple programming interface for applying SNA to large scale networks. libSNA is built on top of the open source library networkX; without networkX, libSNA would not be possible.
MetaSight [23] Email/communication network visualization and analysis email ? ? Commercial MetaSight is an enterprise social software application which uses data from routine e-mail to infer and map business expertise and relationships.
NodeXL [24] Network overview, discovery and exploration email, .csv (text), .txt, .xls (Excel), .xslt (Excel 2007), .net (Pajek) .csv (text), .txt, .xls (Excel), .xslt (Excel 2007) Windows XP/Vista Free (MPL) NodeXL is an Excel 2007 Add-in and C#/.Net library for network analysis and visualization. It integrates into Excel 2007 and adds directed graph as a chart type to the spreadsheet. Supports extracting email social networks. Allows for easy manipulation of underlying data in spreadsheet format.
NetMiner [25] All-in-one Software for Network Analysis and Visualization .xls(Excel), .csv(text), .dl(UCINET), .net(Pajek), .dat(StOCNET), .gml; NMF(proprietary) .xls(Excel), .csv(text), .dl(UCINET), .net(Pajek), .dat(StOCNET), NMF(proprietary) Microsoft Windows Commercial ($16/user ~ $6,600/user) with free trial NetMiner is a software tool for exploratory analysis and visualization of network data. Main features include : analysis of large networks, comprehensive network measures and models, both exploratory & confirmatory analysis, interactive visual analytics, what-if network analysis, built-in statistical procedures and charts, full documentation(1,000+ pages of User's Manual), expressive network data model, facilities for data & workflow management , and user-friendliness.
Network Genie [26] Social Network Survey Data collection Online survey and project design environment Output to CSV, InFLow[27], UCINET[28], NEGOPY [29] and MultiNet [30] Any web browser Payment assessed for the number of egos who complete surveys. $3.00 per ego with volume discounts. Network Genie is used to: (1) Design complete and egocentric network surveys using a wide variety of survey question formats; (2) Manage social network projects, including manage a collaborative team who have privileges defined by a project coordinator; (3) Collect social network data using online forms; and (4) Download and export data to the social network analysis program of your choice. Registration is free.
Network Workbench[31][32] Modeling, Analysis and Visualization of Large Scale Networks .net, .mat, .graphml, .nwb, .csv, xgmml .net, .mat, .graphml, .nwb, .csv, xgmml, .eps, .pdf Linux, Mac OS X, Windows, Solaris Open Source (Apache 2.0) Over 70 different algorithms to use (including GUESS and DrL)
NetworkX[33] NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. built-in support for many text formats; user can create parsers for any desired format Any platform supporting Python version >= 2.4 Open source (GPL and similar) Free NetworkX (NX) is a rich integrated toolset for graph creation, manipulation, analysis, and visualization. User interface is through scripting/command-line provided by python. NX includes a large set of key algorithms,

metrics and graph generators. Visualization is provided through pylab and graphviz. NX is an open-source project, in active development since < 2004 with an open bug-tracking site, and user forums. Development is sponsored by Los Alamos National Lab, and includes extensive unit-testing.

Onasurveys [34] Social Network Survey Data collection Online survey and project design environment Output to Microsoft Excel, Inflow[35] and Netdraw[36] Microsoft Internet Explorer Subscription based. Unlimited number of surveys. Pricing for commercial and academic use. Onasurveys is a fast and very user friendly tool aimed primarily at practitioners. Free registration provides full functionality, but export is limited to first 5 nodes.
ORA[37] Social Network Analysis DyNetML[38], .csv DyNetML, .csv Windows Freeware for non-commercial use Risk assessment tool for locating individuals or groups that are potential risks given social, knowledge and task network information. Based on network theory, social psychology, operations research, and management theory a series of measures of "criticality" have been implemented into ORA. find those people, types of skills or knowledge and tasks that are critical from a performance and information security perspective.
Pajek[39][40] Analysis and Visualization of Large Scale Networks .net, .paj, .dat(UCINET), .ged, .bs, .mac, .mol .net, .paj, .dat(UCINET), .xml(graphML), .bs Windows, Linux, Mac OS X Freeware for non-commercial use A widely used program for drawing networks, Pajek also has significant analytical capabilities, and can be used to calculate most centrality measures, identify structural holes, block-model, and so on. Macros can be recorded to perform repetitive tasks. Data can be sent directly to R, to calculate additional statistics.
R Social network analysis within the versatile and popular R environment R will read in almost any format data file R has write capability for most data formats Windows, Linux, Mac Open source R contains several packages relevant for social network analysis: igraph is a generic network analysis package; sna performs sociometric analysis of networks; network manipulates and displays network objects; ergm implements exponential random graph models for networks; latentnet has functions for network latent position and cluster models; degreenet provides tools for statistical modeling of network degree distributions; and networksis provides tools for simulating bipartite networks with fixed marginals. Most of these packages are part of the statnet suite, obtainable through the statnet meta-package.
Sentinel Visualizer [41] Comprehensive network analysis and visualization Structured XML and unstructured documents in Word, PDF, Excel, Text and HTML formats. Structured XML and unstructured documents in Word, PDF, Excel, Text and HTML formats. Microsoft Windows Commercial(starting from $2000/user) Sentinel Visualizer is a Windows-based program that provides data visualization, analysis and knowledgebase management all within one product. Sentinel Visualizer produces interactive dynamic link charts, timeline and geospatial views, and provides a variety of analysis tools including Social Network Analysis, temporal analysis and entity and relationship weighting. Sentinel Visualizer includes a multi-user knowledgebase for efficiently and economically storing analysis data.
SocioMetrica [42] EgoNet, LinkAlyzer, and VisuaLyzer applications DyNetML, Excel, DL, text, UCINET DyNetML, Excel, DL, text, UCINET, SPSS Windows Shareware A set of applications for interview-based gathering of egocentric data (EgoNet), linking of data records through matching of node attributes (LinkAlyzer), and visualization (VisuaLyzer). VisuaLyzer also provides prototype functionality for analysis using a relational algebra model. A relational programming language, RAlog, derives and analyzes representations in this relation algebra.
SocNetV [43] Social Networks Visualisation and Analysis Tool .net (pajek), .dot (GraphViz), .sm/.net (Sociomatrix), .xml (GraphML) .net (pajek), .dot (GraphViz), .sm/.net (Sociomatrix) Linux, Windows, Mac (Qt toolkit needed) Free Software (GPL3) SocNetV (Social Networks Visualiser) is an open-source GUI tool, developed in C++ programming language and the cross-platform Qt toolkit. Its primary purpose is to make easier for the researcher to draw social networks or plain graphs by clicking on a canvas. It can also compute network properties and statistics (centralities, etc) as well as apply various layout algorithms - for instance, nodes can be automatically positioned on circles or levels according to their betweeness centralities. Random networks creation is also supported. SocNetV can handle any number of nodes, although with a speed penalty when nodes are more than 3000 or the graph is quite dense (many edges).
SONIVIS [44] Network visualisation and analysis, especially Wiki-based information spaces .xml(graphML) .xml(graphML) Windows, Linux open-source (GPL) SONIVIS:Tool is a Java-based, open-source application, which is based on the Eclipse Rich Client Platform (RCP). The user interface is organized into three main perspectives: Analysis, Manipulation, and Statistics. Besides various Wiki and network analysis metrics, the tool provides predefined and user-definable graphical analyses. It offers a quick overview on current Wiki states or developments
statnet [45] Social network analysis within the versatile and popular R environment R will read in almost any format data file R has write capability for most data formats Windows, Linux, Mac Open source (GPL) A suite of R packages for social network analysis: sna performs sociometric analysis of networks; network manipulates and displays network objects; ergm implements exponential random graph models for networks; latentnet has functions for network latent position and cluster models; degreenet provides tools for statistical modeling of network degree distributions; and networksis provides tools for simulating bipartite networks with fixed marginals; the statnet meta-package allows for package management.
tnet [46] Social network analysis of weighted and longitudinal networks in R R will read in almost any format data file R has write capability for most data formats Windows, Linux, Mac Open source (GPL) A packages for social network analysis of weighted and longitudinal networks. Possible extensions are discussed here [47]
UCINET [48] Social Network Analysis tool Excel, DL, text, Pajek .net, Krackplot, Negopy, proprietary (##.d & ##.h) Excel, DL, text, Pajek .net, Krackplot, Mage, Metis, proprietary (##.d & ##.h) Windows Shareware A comprehensive package for the analysis of social network data as well as other 1-mode and 2-mode data. Can handle a maximum of 32,767 nodes (with some exceptions) although practically speaking many procedures get too slow around 5,000 - 10,000 nodes. Social network analysis methods include centrality measures, subgroup identification, role analysis, elementary graph theory, and permutation-based statistical analysis. In addition, the package has strong matrix analysis routines, such as matrix algebra and multivariate statistics.
UNISoN [49] Download usenet messages and save SNA output files Reads from free NNTP servers Creates CSV files and Pajek .net files Any system supporting Java Freeware A java application that can download Usenet messages from free NNTP servers, show the saved messages, then allow filtering of data to save to a Pajek network file or CSV file. It creates networks using the author of each post. If someone replies to a post, there is a unidirectional link created from the author of the post to the author of the message they are replying to. There is also a preview panel that shows the network visually.
UrlNet [50] Generation of social network analysis program input files World Wide Web pages, online search engine result sets, and Internet Web Service APIs currently generates Pajek projects [51] and GUESS .gdf files [52] Any (it's written in Python, requires v2.5 or higher [53]; source code is included) Freeware for non-commercial use UrlNet is a Python class library for generating networks based on Internet linkages. In the simplest case, UrlNet creates a tree by harvesting the outlink URLs from the page referenced by a root URL (level zero); retrieving each of those pages (level 1), harvesting their outlink URLs; retrieving those pages (level 2), harvesting their outlink URLs; et cetera to a caller-specified depth. UrlNet can also create "forests", the union of multiple tree networks. Specialized classes are provided for generation of networks from search engine result sets (6 search engines are currently supported).

UrlNet can also utilize URL-based Web Service APIs to generate networks. Current examples include Technorati's Cosmos API and three types of networks utilizing APIs provided by the National Center for Biological Information (NCBI) [54]. More than 20 example programs are provided, along with a 65-page user manual, to help Python programmers get up to speed.

VisuaLyzer [55] Network visualization Edgelist/Edgearray, Excel or GraphML formats Edgelist/Edgearray, Excel or GraphML formats ? Commercial Interactive tool for entering, visualizing and analyzing social network data.

Create nodes and links directly in VisuaLyzer, or import data from Edgelist/Edgearray, Excel or GraphML formats.

WAND [56] Ecological network analysis Scor files Scor files Microsoft Windows Open source(GPL)

[edit] References

  • Barnes, J. A. "Class and Committees in a Norwegian Island Parish", Human Relations 7:39-58
  • Berkowitz, S. D. 1982. An Introduction to Structural Analysis: The Network Approach to Social Research. Toronto: Butterworth.
  • Brandes, Ulrik, and Thomas Erlebach (Eds.). 2005. Network Analysis: Methodological Foundations Berlin, Heidelberg: Springer-Verlag.
  • Breiger, Ronald L. 2004. "The Analysis of Social Networks." Pp. 505–526 in Handbook of Data Analysis, edited by Melissa Hardy and Alan Bryman. London: Sage Publications. Excerpts in pdf format
  • Burt, Ronald S. (1992). Structural Holes: The Structure of Competition. Cambridge, MA: Harvard University Press.
  • Carrington, Peter J., John Scott and Stanley Wasserman (Eds.). 2005. Models and Methods in Social Network Analysis. New York: Cambridge University Press.
  • Christakis, Nicholas and James H. Fowler "The Spread of Obesity in a Large Social Network Over 32 Years," New England Journal of Medicine 357 (4): 370-379 (26 July 2007)
  • Doreian, Patrick, Vladimir Batagelj, and Anuska Ferligoj. (2005). Generalized Blockmodeling. Cambridge: Cambridge University Press.
  • Freeman, Linton C. (2004) The Development of Social Network Analysis: A Study in the Sociology of Science. Vancouver: Empirical Press.
  • Hill, R. and Dunbar, R. 2002. "Social Network Size in Humans." Human Nature, Vol. 14, No. 1, pp. 53–72.Google
  • Jackson, Matthew O. (2003). "A Strategic Model of Social and Economic Networks". Journal of Economic Theory 71: 44–74. doi:10.1006/jeth.1996.0108.  pdf
  • Huisman, M. and Van Duijn, M. A. J. (2005). Software for Social Network Analysis. In P J. Carrington, J. Scott, & S. Wasserman (Editors), Models and Methods in Social Network Analysis (pp. 270–316). New York: Cambridge University Press.
  • Krebs, Valdis (2002) Uncloaking Terrorist Networks, First Monday, volume 7, number 4 (Application of SNA software to terror nets Web Reference.)
  • Krebs, Valdis (2008) A Brief Introduction to Social Network Analysis (Common metrics in most SNA software Web Reference.)
  • Krebs, Valdis (2008) Various Case Studies & Projects using Social Network Analysis software Web Reference.)
  • Lin, Nan, Ronald S. Burt and Karen Cook, eds. (2001). Social Capital: Theory and Research. New York: Aldine de Gruyter.
  • Mullins, Nicholas. 1973. Theories and Theory Groups in Contemporary American Sociology. New York: Harper and Row.
  • Müller-Prothmann, Tobias (2006): Leveraging Knowledge Communication for Innovation. Framework, Methods and Applications of Social Network Analysis in Research and Development, Frankfurt a. M. et al.: Peter Lang, ISBN 0-8204-9889-0.
  • Manski, Charles F. (2000). "Economic Analysis of Social Interactions". Journal of Economic Perspectives 14: 115–36.  [57] via JSTOR
  • Moody, James, and Douglas R. White (2003). "Structural Cohesion and Embeddedness: A Hierarchical Concept of Social Groups." American Sociological Review 68(1):103-127. [58]
  • Newman, Mark (2003). "The Structure and Function of Complex Networks". SIAM Review 56: 167–256. doi:10.1137/S003614450342480.  pdf
  • Nohria, Nitin and Robert Eccles (1992). Networks in Organizations. second ed. Boston: Harvard Business Press.
  • Nooy, Wouter d., A. Mrvar and Vladimir Batagelj. (2005). Exploratory Social Network Analysis with Pajek. Cambridge: Cambridge University Press.
  • Scott, John. (2000). Social Network Analysis: A Handbook. 2nd Ed. Newberry Park, CA: Sage.
  • Tilly, Charles. (2005). Identities, Boundaries, and Social Ties. Boulder, CO: Paradigm press.
  • Valente, Thomas. (1995). Network Models of the Diffusion of Innovation. Cresskill, NJ: Hampton Press.
  • Wasserman, Stanley, & Faust, Katherine. (1994). Social Networks Analysis: Methods and Applications. Cambridge: Cambridge University Press.
  • Watkins, Susan Cott. (2003). "Social Networks." Pp. 909–910 in Encyclopedia of Population. rev. ed. Edited by Paul Demeny and Geoffrey McNicoll. New York: Macmillan Reference.
  • Watts, Duncan. (2003). Small Worlds: The Dynamics of Networks between Order and Randomness. Princeton: Princeton University Press.
  • Watts, Duncan. (2004). Six Degrees: The Science of a Connected Age. W. W. Norton & Company.
  • Wellman, Barry (1999). Networks in the Global Village. Boulder, CO: Westview Press.
  • Wellman, Barry. 2001. "Physical Place and Cyber-Place: Changing Portals and the Rise of Networked Individualism." International Journal for Urban and Regional Research 25 (2): 227-52.
  • Wellman, Barry and Berkowitz, S.D. (1988). Social Structures: A Network Approach. Cambridge: Cambridge University Press.
  • Weng, M. (2007). A Multimedia Social-Networking Community for Mobile Devices Interactive Telecommunications Program, Tisch School of the Arts/ New York University
  • White, Harrison, Scott Boorman and Ronald Breiger. 1976. "Social Structure from Multiple Networks: I Blockmodels of Roles and Positions." American Journal of Sociology 81: 730-80.
Posted by 동그라미
,

Sure Start 등

아동/가족 2008. 5. 28. 10:11
③ 동등한 출발선이 희망이다
[우리의 아이들 사회가 키우자] 영국 ‘세살 복지’로 여든살 가난 막는다
6개월~5살 빈곤층 어린이 ‘교육 첫단추’부터 지원
아동센터 중심 병원·학교 연계…40만명 혜택 목표
한겨레 김기성 기자
» 영국 런던의 해크니 지역에 설립된 빈곤층 어린이 보육시설인 메이플딘센터에서 부모들이 자녀와 함께 ‘노래 만들기 프로그램’에 참여해 전문 교사들의 지도를 받고 있다. 런던/김기성 기자 rpqkfk@hani.co.kr
영국 런던 북동쪽 해크니 지역 ‘메이플딘센터’. 영국 정부의 빈곤 어린이 탈출 프로그램 ‘확실한 출발’(Sure Start)에 따라 설립·운영되는 일종의 ‘어린이집’이다. 이 센터에서 흘러나오는 어린이들의 재잘거림과 목청껏 동요를 부리는 소리는 한국의 그것과도 다르지 않다.
 

그러나 ‘씨앗과 사과방’, ‘야자방’ ‘단풍방’ 등의 이름이 적힌 넓직한 방을 들여다보면, 이런 생각은 금세 사라진다. ‘야자방’에선 앙증맞은 율동을 하며 노래를 부르는 서너살짜리 어린이 10여명 사이를 비집고 다니는 교사가 다섯 사람이나 됐다. 다른 방도 마찬가지였다. ‘단풍방’에서 즐겁게 노래를 부르는 어린이들 곁에는 엄마아빠가 마주앉아 손뼉을 치며 노래를 따라 불렀다. 그래서인지 이 시설에선 얼핏 보면 어린이보다 어른이 더 많이 띄었다. 자넷 터너 센터소장은 “어린이와 교사 비율이 3 대 1을 넘어선 안 된다는 규칙을 갖고 있다”고 설명했다.

 

센터 한 가운데 파란 잔디가 깔린 정원엔 놀이터가 있고, 모든 방과 문 하나로 통했다. 정원 한 쪽에는 어린이들이 직접 흙을 만지고 채소를 가꾸며 자연을 느낄 수 있는 텃밭도 딸려 자연의 싱그러움도 더했다. 아이들의 안전을 고려해 아예 층계를 없앴고, 집기나 벽 등엔 위험한 모서리도 없었다.

 

이곳에선 생후 6개월에서 5살짜리 빈곤층 어린이 65명을 종일 돌봐준다. 간호사에서 언어치료사에 이르기까지 20여명의 전문가들이 하루종일 어린이들과 함께 생활한다. 교육과 상담은 ‘1 대 1’이 원칙이다. 청각장애 부모를 둔 어린이에겐 수화까지 따로 가르쳐 가족들의 대화에 장애를 없애준다.

 

이처럼 최고 수준의 보살핌과 교육이 이뤄지고 있지만, 이용은 부모들의 신청만으로 이뤄진다. 단 무직·실업 등 소득이 일정하지 않거나 일정 기준 이하의 저소득자가 대상이다. 이 센터의 운영이나 ‘확실한 출발’의 목적도 단지 부모가 돈벌이를 하는 동안 가정의 생계를 돕기 위해서만은 아니다. 빈곤으로 교육받지 못해 ‘동등한 출발과 기회’를 잃는 것을 막으려는 것이다.

 

메이플딘센터에는 센터에서 보살피고 가르치는 아이들말고도, 일주일에 140명의 가족이 찾아든다. 이들 부모들은 센터가 마련한 30여 프로그램에 참여하며 전문가들한테서 가난을 대물림하지 않도록 하는 각종 교육이나 상담을 받는다. 빈곤을 불러온 이유로 꼽히는 부모의 낮은 교육수준을 끌어올리는 훈련도 동시에 이뤄지는데, 사회적응 교육과 언어교육을 비롯해 직업훈련 등이 한 주일에 세 차례에 걸쳐 50분씩 진행된다.

 

부모 교육과 상담에는 법률가와 금융권 관계자, 심리상담사, 일자리 전문가 등은 물론 공무원들이 역시 1 대 1로 상담한다. 학부모 메릴린 코너(32·여)는 “세살배기 딸을 데리고 각종 프로그램에 참여하는데, 내 딸만큼은 가난 때문에 차별받거나 힘들지 않길 바라는 마음으로 이곳을 찾는다”며 “올 때마다 새롭게 인생을 설계하게 된다”며 흡족해 했다.

 

이 프로그램은 각 지역의 아동센터가 중심이 되고 도서관, 병원, 학교 등의 협조로 진행되고 있다. 지역 병원에선 빈곤층 어린이를 위한 의료서비스를 해주고 대형 식품유통 업체에선 1년 내내 신선한 유기농 식품을 싼값에 제공한다. 지역사회 모두가 나서 빈곤층 어린이는 물론 해당 가정의 ‘확실한 출발’을 돕고 있는 것이다.

영국 정부는 ‘슈어 스타트’를 통해 메이플딘 같은 아동센터를 2008년까지 2500곳, 2010까지는 3500곳으로 늘려 40만명에 이르는 어린이들이 혜택을 받도록 한다는 목표를 세운 상태다. 2000년 런던에서 부모의 무관심으로 혼자 집을 보던 7살 여자 어린이가 괴한에게 살해된 사건이 사회문제가 되면서 시작된 이 운동은 빈곤층을 대상으로 한 교육과 복지, 건강의 지역 밀착형 프로그램으로 자리잡고 있다.

런던/김기성 기자 rpqkfk@hani.co.kr


인터뷰/메이플딘센터 터너 소장 정부지원이 성공 지렛대

‘확실한 출발’(슈어 스타트)의 최일선 지도자로 일하는 자넷 터너(사진) 메이플딘센터 소장은 “빈곤 때문에 인생의 출발부터 뒤처지는 어린이가 단 한 명도 없도록 만드는 것이 나의 일”이라고 자신의 소임을 소개했다.

터너 소장은 “슈어 스타트는 빈곤층이라는 이유로 소외된 어린이와 부모들을 사회교육의 장으로 이끌어 그야말로 모든 이에게 동등한 출발의 기회를 주는 획기적 운동”이라며 “그 가운데서도 가장 중요한 것은 어린이에게 빈곤과 관계 없이 질좋은 교육을 받게 하는 데 있다”고 설명했다. 그는 “미혼모나 불법 체류자 등은 자신은 물론 자녀조차 숨기면서 살아가는 현실이어서 빈곤 탈출에 더욱 어려움이 크지만, 직접 방문해 프로그램에 참여시키고 있다”고 말했다.

특히 그는 “한국에서도 비슷한 ‘위 스타트’(We Start)라는 운동을 하고 있는 것으로 알고 있다”며 “그런 운동이 뿌리를 내리려면 병원·도서관·학교 등 지역사회의 협조망이 끈끈하게 맺어지도록 하는 게 매우 중요하다”고 지적했다. 그는 “지역사회와 주민들의 노력을 성공으로 이끄는 지렛대는 정부의 전폭적인 예산지원”이라고 강조했다.

런던/김기성 기자 rpqkfk@hani.co.kr


 

*출처: 한겨레 2006년 5월 기획기사

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Sure Start 등등

아동/가족 2008. 5. 28. 10:08
미국 영국 캐나다의 빈곤층 복지 제도  

*** 미국 'Head Start(헤드 스타트)' 전국에 '학습 센터' 1만8000곳
미국의 'Head Start(헤드 스타트)'는 취학 전 빈곤 아동에게 언어.보건.정서 등의 포괄적 서비스를 제공해 빈곤의 악순환을 끊겠다는 취지로 1965년 시작된 아동 보육 프로그램이다.

미 연방 보건복지부 산하 헤드 스타트국 공보관 스티브 발보어는 "이 프로그램은 3~4세 빈곤 아동들이 나중에 학교 수업을 잘 이해할 수 있도록 도와주는 데 초점을 맞추고 있다"고 밝혔다. 미 전역에 설치된 1만8000여곳의 헤드 스타트 센터에서 간단한 산수나 알파벳 교육, 독서 지도, 언어 발달 등의 프로그램이 제공되고 있다. 수혜자는 연방정부가 정한 빈곤선 아래에 있는 가정의 아동들이다.

발보어 공보관은 "학교에 다니기 전부터 일반아동과 빈곤아동의 발달 격차를 최소화해야만 빈곤을 예방할 수 있다는 게 이 운동의 배경"이라고 설명했다.

헤드 스타트에 대한 정부의 지원은 꾸준히 늘어나고 있는데, 93년 27억달러였던 예산이 지난해 66억달러로 증가했다. 그는 "저소득 국가에서도 헤드 스타트는 가능하다"며 "실제로 소로스 재단의 후원으로 비슷한 프로그램이 러시아.폴란드에서 실시 중"이라고 소개했다.

페어 스타트를 처음 제안한 것은 1996년 선더베이시 레이크헤드 학교협의회. 이후 보건소.비영리단체가 참여하고 경찰.기업 등이 후원하면서 페어 스타트는 캐나다의 지역 복지 모델로 자리잡았다.

현재 선더베이시에선 7개 지역 단체가 페어 스타트 위원회를 구성하고 있다. 파렐은 "2003년 취학 전 아동 중 페어 스타트를 거친 비율은 88%에 달한다"면서 "2002년에는 2045명 중 149명이 언어능력, 58명이 사회성에 문제가 발견돼 치료를 받았다"고 성과를 설명했다. 그는 "페어 스타트의 핵심은 기관 간 협력과 교사.치료사.상담원 등의 자발적인 봉사"라고 덧붙였다.



*** 영국 '슈어 스타트' 2020년엔 빈곤 아동 '無'목표

올해 4월부터 영국의 모든 3~4세 아이들은 무상교육을 받고 있다. 빈곤아동 구제정책 'Sure Start(슈어 스타트)'덕분이다.

"말하기나 듣기, 사회성이 부진한 빈곤층 아이들을 도와 인생의 '확실한 출발'을 보장하는 것이 이 정책의 핵심이다." 교육기술부에 설치된 독립기구 '슈어 스타트 위원회'의 공보관 샙 나비는 본사 취재팀에 이렇게 말했다.

1997년 시작된 이 정책은 빈곤층 아이들이 어렸을 때부터 보호와 교육을 받아야만 가난에서 벗어날 수 있다는 생각에서 출발했다고 그는 소개했다.

위원회에는 교육기술부뿐 아니라 보건부.노동연금부 등의 실무자들이 배치돼 있다. 빈곤 아동의 문제를 개별부처만으로는 해결할 수 없기 때문이다. 이 정책을 통해 소득 하위 계층 20% 지역에 살고 있는 14세 이하 아동과 그 부모에게 보육 인력.시설 확대, 방과 후 프로그램 운영, 실직부모 구직활동 등을 지원한다.

"97년 보육시설 한곳당 9명을 담당하던 것이 보육시설을 늘린 지금은 5명으로 줄었다." 그는 그동안의 성과를 이렇게 정리했다.

영국 정부는 2010년까지 빈곤 아동 수를 반으로 줄이고, 2020년에는 '0'으로 만들겠다는 계획을 세워놓고 있다.

 

**** 캐나다 '페어 스타트' 취학전에 학습능력 점검·치료
"아이들 문제는 일찍 발견할수록 쉽게 해결할 수 있습니다."

캐나다 온타리오주 선더베이시(市)의 'Fair Start(페어 스타트)'프로그램 조정자인 캐시 파렐의 말이다. 본사 취재팀과의 e-메일 인터뷰에서다.

그에 따르면 페어 스타트는 18개월부터 취학 전까지의 아동에게 시력.청력.사회성.언어능력.체력.손놀림 등 여섯가지 검사를 무료로 받게 하는 프로그램이다. 구호는'다섯살 이전의 시기가 인생을 좌우한다'. 뇌의 75% 이상이 다섯살 이전에 발달하기 때문에 문제를 조기에 발견, 치료해 주로 빈곤 아동에게 '공정한(fair)'출발을 보장한다는 것이다.
e-메일.전화 인터뷰=영어신문본부 서묘자 기자<
myoja@joongang.co.kr>

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Transage Action

아동/가족 2008. 5. 12. 12:42

Welcome to Age Concern Enfield

Working with and for older people in Enfield

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TransAge Action

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TRANSAGE ACTION PROJECT
Age Concern Enfield launched the first TransAge Action Pilot Projects in 1995 in order to recruit and train older volunteers to work with children who need additional help in schools and other settings. The network has now developed all over the UK. The Enfield Project has been very successful and has generated huge demand for new volunteers. We work in Partnership with Sure Start.

WHY IS THE PROJECT NEEDED?The project came about as a response to changes in society that have left many families struggling with difficulties and often with no traditional extended family to provide emotional and practical support. Generations have never been so segregated and there are fewer opportunities for contact.

TransAge Action aims to bring older people and children together in a way that encourages better understanding between the generations, supportive relationships and respect between the age groups.

Most of all, this scheme gives older people a chance to share a lifetime of experiences and skills with the younger generation and to play a vital role within the community.


Quote from one volunteer:

“Volunteering beats just sitting at home”

A head teacher said that the positive comments from teachers about the volunteers were: “ a real testimony to the work you’ve done with the children and it is valued. You should not underestimate your contribution to the life of the school. It is really appreciated”.

And from Joan a volunteer:

“One little boy told me, with an amusing smile, that he had completed his task and therefore would not be doing any more work as he had now“retired”!”

Age is not a barrier to volunteering with TransAge Action as there is a 30-year age difference between the youngest and oldest volunteer. Although many of the volunteers are no longer in full-time employment, some say that they are busier now than when they were working.

Volunteers aged fifty plus are recruited twice a year and  there is a six week training in January and September. After the training has been completed appropriate placements are found for each volunteer.

Once the volunteers are in placements they are offered on-going support and supervision, review meetings are held regularly, continued training sessions are organised as well as social events. Many friendships have formed among the volunteers who meet each other socially outside the placement.

If you are over fifty and would like to become a volunteer with the TransAge Action Project, why not ring us?

Judi Thomson   Sure Start Manager for Age Concern Enfield       020 8375 4107
Sue Dudson      TransAge Action Project Manager                         020 8375 4108Link to TransAge Action article>>>

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Sharing Success

아동/가족 2008. 5. 10. 16:19
 
                
 


Sharing Success, a project of Transferring Success, is publicly funded by the New York State Legislature and the Governor's Office to identify and disseminate successful educational programs and practices statewide. The Sharing Success Technical Assistance Center seeks candidates for participation from within New York State and nationwide. These programs must meet rigorous evaluation standards in order to be replicated by other school districts, adult education sites, or non-profit organizations. This site is updated weekly.

 
 
 

            2006-07 E.P.T.W.   

Download the NYS Educational Programs That Work Book 2006-07. (pdf format)

Please note: This is a large file in PDF format. It may take several minutes to download, depending on your internet connection. You will need Adobe's Free Acrobat Reader to view the document. You can download a free copy of the reader at Adobe's website.


 
 
 
 
 
 
 
 
 


 



 
 

        

    
 

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