Social network analysis software

Social network analysis software (SNA software) is software which facilitates quantitative or qualitative analysis of social networks, by describing features of a network either through numerical or visual representation.

Overview

Networks can consist of anything from families,[1] project teams, classrooms, sports teams, legislatures, nation-states, disease vectors, membership on networking websites like Twitter or Facebook, or even the Internet. Networks can consist of direct linkages between nodes or indirect linkages based upon shared attributes, shared attendance at events, or common affiliations.[2] Network features can be at the level of individual nodes, dyads, triads, ties and/or edges, or the entire network. For example, node-level features can include network phenomena such as betweenness and centrality, or individual attributes such as age, sex, or income.[3] SNA software generates these features from raw network data formatted in an edgelist, adjacency list, or adjacency matrix (also called sociomatrix), often combined with (individual/node-level) attribute data.[4] Though the majority of network analysis software uses a plain text ASCII data format, some software packages contain the capability to utilize relational databases to import and/or store network features.

Some SNA software can perform predictive analysis.[5] This includes using network phenomena such as a tie to predict individual level outcomes (often called peer influence or contagion modeling), using individual-level phenomena to predict network outcomes such as the formation of a tie/edge (often called homophily models[6]) or particular type of triad, or using network phenomena to predict other network phenomena, such as using a triad formation at time 0 to predict tie formation at time 1.

Network analysis software generally consists of either packages based on graphical user interfaces (GUIs), or packages built for scripting/programming languages. In general, the GUI packages are easier to learn, while scripting tools are more powerful and extensible. Widely used and well-documented GUI packages include NetMiner, UCINet, Pajek (freeware), GUESS, ORA, Cytoscape, Gephi, SocNetV (free software) and muxViz (opensource). Private GUI packages directed at business customers include: Orgnet, which provides training on the use of its software, Polinode, Keyhubs, KeyLines, KXEN and Keynetiq. Other SNA platforms, such as Idiro SNA Plus, have been specifically developed for particular industries such as telecoms and online gaming where massive data sets need to be analyzed.

Commonly used and well-documented scripting tools used for network analysis include: NetMiner with Python scripting engine, the statnet suite of packages for the R statistical programming language, igraph, which has packages for R and Python, muxViz (based on R statistical programming language and GNU Octave) for the analysis and the visualization of multilayer networks,[7] the NetworkX library for Python, and the SNAP package for large-scale network analysis in C++ and Python. Though difficult to learn, some of these open source packages are growing much faster in terms of functionality and features than privately maintained software, and extensive documentation and tutorials are available.[8]

Visual representations of social networks are important to understand network data and convey the result of the analysis.[9] Visualization often also facilitates qualitative interpretation of network data. With respect to visualization, network analysis tools are used to change the layout, colors, size and other properties of the network representation. All of the tools above contain visualization capabilities. NetMiner, igraph, Cytoscape, muxViz and NetworkX have the highest level of functionality in terms of producing high-quality graphics.

Interactive Data Visualization technology often includes social network analysis capabilities. In this technology, other forms of data visualization are used to interact with social network graphs. These forms of visualization include a variety of charting visualizations, tables, time lines and maps and the ability to display data in any of these forms while also applying functions to explore the data in an interactive user experience. For example, complex social network graphs can be filtered using summary chart visualizations or timelines to isolate portions of the social network graph that are of interest to the analyst. Interactive Data Visualization may also include the ability to integrate data and publish dashboards or templates to report results.

Also worthy of mention are the variety of tools[10] built primarily for network visualization, some of which also contain social network analytic features. These include general purpose visualization tools such as SocNetV and Tulip; tools designed for medical applications such as SocioMetrica; tools designed for law-enforcement and intelligence organizations such as i2 Analyst's Notebook, SilentRunner Sentinel, KeyLines by Cambridge Intelligence, SVAT and Sentinel Visualizer; tools designed for corporations and businesses such as NodeXL, RapidNet, Keyhubs, Idro, Ipoint, Polinode and Sonamine.

Collection of social network analysis tools and libraries

Product Main Functionality Input Format Output Format Platform License and cost Notes
Hashkat aka '#k@' Agent based simulation of online social networks import from plaintext (user defined rates and agent profiles) Output to Gephi, NetworkX Mac OS X, GNU/Linux Free Software (GPLv3) Dynamical network simulation tool designed to model the growth of and information propagation within an online social network. It is an agent-based, kinetic Monte Carlo engine capable of simulating online networks such as Facebook, Twitter, LinkedIn, etc. It incorporates all elements of online social networks including multiple user profiles (e.g. standard users, organizations, celebrities, and bots), user messaging, trending topics, and advertising.
AllegroGraph Graph Database. RDF with Gruff visualization tool RDF RDF Linux, Mac, Windows Free and Commercial AllegroGraph is a graph database. It is disk-based, fully transactional OLTP database that stores data structured in graphs rather than in tables. AllegroGraph includes a Social Networking Analytics library.
Automap Text-mining network generator Readable text documents .csv and DyNetML Windows Commercial and Student Automap uses speech tagging and proximity analysis to perform network text analysis to create network links among words in text.
EgoNet 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.
Commetrix Graph Exploration, Social network analysis (static, dynamic, contents) import from .csv table, mysql database, .cmx commetrix network format file, .xml file (via Commetrix Producer) Output to .csv tables and .jpg screenshots, movies via screen capture tools Windows Free Trial Period, Academic License, Commercial License Commetrix is an exploration-oriented social network analysis tool. Its speciality is a link-event based data model (compatible but extending classic node link data formats with time and topic attributes). It allows to study static network metrics, but also dynamic network evolution (incl. animated visualization), nodes and relationships can have time stamps, qualitative or quantitative variables, this enables to model different types of nodes and links, users can filter for tie strength, tie type, node type, keywords and text can be stored for relationships and nodes, enabling keyword search
Cytoscape Graph Exploration, Visualization, SIF, GML, XGMML, BioPAX, PSI-MI, GraphML, KGML (.KEGG .XML), SBML, OBO, Gene Association, Delimited text files, MS Excel workbooks, .cys Graphs: .cys, table, .sif, PSI-MI, .nnf, XGMML

Visualizations: PDF, PS, SVG, PNG, JPEG, and BMP

.js for interactive web apps

 Windows, Linux, Mac Open Source (Mit) Cytoscape supports quick and easy analysis of complex networks whose specific features might be overlooked with other social analysis tools. Supports calculation of graph metrics such as degree, betweenness, closeness, density, path length, diameter, HITS, modularity, clustering coefficient, etc. using “apps”. It also generates visual high quality interactive graph visualizations that users can export or build using Cytoscape.js
Gephi Graph exploration and manipulation software GraphViz(.dot), Graphlet(.gml), GUESS(.gdf), LEDA(.gml), NetworkX(.graphml, .net), NodeXL(.graphml, .net), Pajek(.net, .gml), Sonivis(.graphml), Tulip(.tlp, .dot), UCINET(.dl), yEd(.gml), Gephi (.gexf), Edge list(.csv), databases GUESS(.gdf), Gephi(.gexf), .svg, .png Any system supporting Java 1.6 and OpenGL Open Source (GPL3), seeking contributors Gephi[11] is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs. It is a tool for people that have to explore and understand graphs. The user interacts with the representation, manipulate the structures, shapes and colors to reveal hidden properties. It uses a 3D render engine to display large networks in real-time and to speed up the exploration. A flexible and multi-task architecture brings new possibilities to work with complex data sets and produce valuable visual results.
Graph Commons Web based collaborative social network mapping and analysis platform. JSON, CSV, Google Spreadsheet, Manual entry Visual: SVG, PNG

Data: JSON, CSV

Any web browser on any OS Public Data: Creative Commons

Software: Commercial

 Graph Commons is a collaborative network mapping, analysis, and publishing platform, a knowledge base of relationships.
GraphStream Dynamic Graph Library GraphStream(.dgs), GraphViz(.dot), Graphlet(.gml), edge list GraphStream(.dgs), GraphViz(.dot), Graphlet(.gml), image sequence Any system supporting Java Open Source With GraphStream you deal with graphs. Static and Dynamic.

You create them from scratch, from a file or any source. You display and render them.

Graph-tool Python module for efficient analysis and visualization of graphs. GraphViz(.dot), GraphML GraphViz(.dot), GraphML, .bmp, .canon, .cmap, .eps, .fig, .gd, .gd2, .gif, .gtk, .ico, .imap, .cmapx, .ismap, .jpeg, .pdf, .plain, .png, .ps, .ps2, .svg, .svgz, .tif, .vml, .vmlz, .vrml, .wbmp, .xlib GNU/Linux, Mac Free Software (GPL3) Graph-tool is a python module for efficient analysis of graphs. Its core data structures and algorithms are implemented in C++, with heavy use of Template metaprogramming, based on the Boost Graph Library. It contains a comprehensive list of algorithms.

GraphVIS

 Interactive network visualization and analytics Graphlet (.gml), edge list, GraphVis (.dot), GraphML, XML, JSON, .csv, .tsv, .txt .png, .pdf, .svg, .bmp, .eps, .jpg, Graphlet (.gml), edge list, GraphVis (.dot), GraphML, XML, JSON, .csv, .tsv, .txt Linux, Mac, Windows Commercial Easy-to-use interactive graph visualization and analytics platform that allows companies to understand their data in real-time with interactive visual graph mining, modeling, and analytic techniques.
Graphviz Graph vizualisation software GraphViz(.dot) .bmp, .canon, .cmap, .eps, .fig, .gd, .gd2, .gif, .gtk, .ico, .imap, .cmapx, .ismap, .jpeg, .pdf, .plain, .png, .ps, .ps2, .svg, .svgz, .tif, .vml, .vmlz, .vrml, .wbmp, .xlib Linux, Mac, Windows Open Source (CPL) Graphviz is open source graph visualization framework. It has several main graph layout programs suitable for social network visualization.
Idiro SNA Plus (for telecoms) Telecoms focused, highly scalable, commercial software solution. All databases e.g. Oracle, DB2, Teradata & flat files All databases & flat text files Linux Commercial Idiro SNA Plus is the world's number 1 SNA platform for telecoms.

With Idiro SNA Plus users can do the following:

1. Predict churn - Predict churners and quantify the damage a person would cause if they were to churn

2. Viral marketing - Identify key influencers for viral marketing

3. Identify families units - Identify family units for marketing purposes

4. Acquisition - Identify targets for member-get-member campaigns

5. Rotational churn - Identify rotational churners

InfiniteGraph Highly scalable, distributed Graph Database. SNAP, Gremlin, formatted text files for high speed, parallel loading Gremlin, plus user definable Linux, Mac, Windows Commercial InfiniteGraph is a distributed graph database that can exploit mixed disk, SSD and in-memory algorithms. It is built on a specialized distributed database engine that is optimized for storing objects with large numbers of connections. It supports parallel queries, path definition and link hunting. There is a sample Social Networking Analytics application.
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 is limited only by the amount of memory allocated to Java.
Keynetiq An all-in-one cloud-based platform for social and organizational network analysis (SNA/ONA). Data can be collected using a built-in survey module or imported from a CSV file. Data can be exported as a CSV file and converted to almost any other format. Windows, Linux, Mac (web-based) Commercial with free trial A cloud-based social and organizational network analysis platform primarily for management consultants and managers. Modern and easy to use tool designed to capture, visualize and analyze complex networks of formal and informal relations within a community or organization. Highly customizable to fit into various types of SNA and ONA projects. Includes training on the use of the tool.
LivingNethos Web based collaborative social network mapping and analysis platform. Data can be collected using a built-in survey module, crawler module, twitter ripper module and imported from a CSV file. Data can be exported as a CSV file and converted to almost any other format. Windows, Linux, Mac (web-based). Commercial with free trial. Collaborative platform for mapping, monitoring and managing influence networks.
Mathematica Graph analysis, statistics, data visualization, optimization, image recognition. 3DS, ACO, Affymetrix, AIFF, ApacheLog, ArcGRID, AU, AVI, Base64, BDF, Binary, Bit, BMP, Byte, BYU, BZIP2, CDED, CDF, Character16, Character8, CIF, Complex128, Complex256, Complex64, CSV, CUR, DBF, DICOM, DIF, DIMACS, Directory, DOT, DXF, EDF, EPS, ExpressionML, FASTA, FITS, FLAC, GenBank, GeoTIFF, GIF, GPX, Graph6, Graphlet, GraphML, GRIB, GTOPO30, GXL, GZIP, HarwellBoeing, HDF, HDF5, HTML, ICO, ICS, Integer128, Integer16, Integer24, Integer32, Integer64, Integer8, JPEG, JPEG2000, JSON, JVX, KML, LaTeX, LEDA, List, LWO, MAT, MathML, MBOX, MDB, MGF, MMCIF, MOL, MOL2, MPS, MTP, MTX, MX, NASACDF, NB, NDK, NetCDF, NEXUS, NOFF, OBJ, ODS, OFF, Package, Pajek, PBM, PCX, PDB, PDF, PGM, PLY, PNG, PNM, PPM, PXR, QuickTime, RawBitmap, Real128, Real32, Real64, RIB, RSS, RTF, SCT, SDF, SDTS, SDTSDEM, SHP, SMILES, SND, SP3, Sparse6, STL, String, SurferGrid, SXC, Table, TAR, TerminatedString, Text, TGA, TGF, TIFF, TIGER, TLE, TSV, USGSDEM, UUE, VCF, VCS, VTK, WAV, Wave64, WDX, XBM, XHTML, XHTMLMathML, XLS, XLSX, XML, XPORT, XYZ, ZIP 3DS, ACO, AIFF, AU, AVI, Base64, Binary, Bit, BMP, Byte, BYU, BZIP2, C, CDF, Character16, Character8, Complex128, Complex256, Complex64, CSV, DICOM, DIF, DIMACS, DOT, DXF, EMF, EPS, ExpressionML, FASTA, FITS, FLAC, FLV, GIF, Graph6, Graphlet, GraphML, GXL, GZIP, HarwellBoeing, HDF, HDF5, HTML, Integer128, Integer16, Integer24, Integer32, Integer64, Integer8, JPEG, JPEG2000, JSON, JVX, KML, LEDA, List, LWO, MAT, MathML, Maya, MGF, MIDI, MOL, MOL2, MTX, MX, NASACDF, NB, NetCDF, NEXUS, NOFF, OBJ, OFF, Package, Pajek, PBM, PCX, PDB, PDF, PGM, PLY, PNG, PNM, POV, PPM, PXR, QuickTime, RawBitmap, Real128, Real32, Real64, RIB, RTF, SCT, SDF, SND, Sparse6, STL, String, SurferGrid, SVG, SWF, Table, TAR, TerminatedString, TeX, Text, TGA, TGF, TIFF, TSV, UUE, VideoFrames, VRML, VTK, WAV, Wave64, WDX, WMF, X3D, XBM, XHTML, XHTMLMathML, XLS, XLSX, XML, XYZ, ZIP, ZPR Windows, Macintosh, Linux Commercial Mathematica is a general purpose computation and analysis environment.
muxViz All-in-one Software for Analysis and Visualization of Multilayer Networks .edges (ASCII Plain Text Edges list) ASCII Plain Text Any platform supporting R and GNU Octave Open Source (GPLv3 License) MuxViz is a framework for the multilayer analysis and visualization of networks. It allows an interactive visualization and exploration of multilayer networks, i.e., graphs where nodes exhibit multiple relationships simultaneously. Graphical User Interface is available.
Netlytic Cloud based text & social network analyzer RSS, Google Drive, Twitter, YouTube comments, .csv, .txt .csv, .mds, .dl (UCINET), .net (Pajek) Windows, Linux, Mac Freemium Netlytic allows users to automatically summarize large volumes of text & discover social networks from conversations on social media such as Twitter, YouTube, blogs, online forums & chats. Netlytic can automatically build chain networks & personal name networks, based on who replies to whom & who mentioned whom.
Network Overview Discovery Exploration for Excel (NodeXL) Network overview, discovery and exploration email, .csv (text), .txt, .xls (Excel), .xslt (Excel 2007, 2010, 2013), .net (Pajek), .dl (UCINet), GraphML .csv (text), .txt, .xls (Excel), .xslt (Excel 2007), .dl (UCINet), GraphML Windows XP/Vista/7 Free (Ms-PL) NodeXL is a free and open Excel 2007, 2010, 2013 Add-in and C#/.Net library for network analysis and visualization. It integrates into Excel 2007, 2010, 2013 and adds directed graph as a chart type to the spreadsheet and calculates a core set of network metrics and scores. Supports extracting email, Twitter, YouTube, Facebook, WWW, Wiki and flickr social networks. Accepts edge lists and matrix representations of graphs. Allows for easy and automated manipulation and filtering of underlying data in spreadsheet format. Multiple network visualization layouts. Reads and writes Pajek, UCINet and GraphML files.
NetMiner 4 All-in-one Software for Network Analysis and Visualization .xls(Excel),.xlsx (Excel 2007), .csv(text), .dl(UCINET), .net(Pajek), .dat(StOCNET), .gml; NMF(proprietary) .xls(Excel),.xlsx (Excel 2007), .csv(text), .dl(UCINET), .net(Pajek), .dat(StOCNET), NMF(proprietary) Microsoft Windows Commercial with free trial NetMiner is a software tool for exploratory analysis and visualization of large network data. NetMiner 4 embed internal Python-based script engine which equipped with the automatic Script Generator for unskilled users. Then the users can operate NetMiner 4 with existing GUI or programmable script language.

Main features include : analysis of large networks(+10,000,000 nodes), 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, Python-based Script workbench and user-friendliness.

NetworKit Python package & C++ library for analysis of large networks with focus on parallelism, scalability and interactive workflow. GML, GraphML, Dibap, GraphViz, METIS, SNAP, various edge list formats GML, GraphML, Dibap, GraphViz, METIS, SNAP, various edge list formats Linux, Mac and other Unix systems Open Source (MIT License) NetworKit is an open-source toolkit for high-performance network analysis. It provides efficient tools for the analysis of large networks ranging from thousands to billions of edges. The functionality is comparable to packages such as NetworkX, albeit with a focus on parallelism and scalability.

Algorithms are implemented in C++ and user interaction is provided through Python. The project is in active development and sponsored by Karlsruhe Institute of Technology.

NetworkX Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. GML, Graph6/Sparse6, GraphML, GraphViz (.dot), NetworkX (.yaml, adjacency lists, and edge lists), Pajek (.net), LEDA GML, Gnome Dia, Graph6/Sparse6, GraphML, GraphViz (.dot), NetworkX (.yaml, adjacency lists, and edge lists), Pajek (.net), and assorted image formats (.jpg, .png, .ps, .svg, et al.) Open source (GPL and similar) Free NetworkX (NX) is a toolset for graph creation, manipulation, analysis, and visualization. User interface is through scripting/command-line provided by Python. NX includes a several 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.

ORA (software) Network analysis tool Imports text delimited formats (.csv, .tsv), XML formats including GraphML and DyNetML, Excel formats (.xls, xlsx), and data from other tools such as UCINET, Pajek, and Analyst Notebook. DyNetML (.xml, .dynetml, .zip) Windows Commercial and Student ORA's main compenents involve importing and constructing networks including multi-level and over-time, vizualizing networks, and generating analysis reports.
OrgMapper A comprehensive cloud-based platform for social and organizational network analysis (SNA/ONA). Data can be collected using a built-in survey or imported from an .xlsx Excel file. Data can be exported as an .xlsx, .pdf or .png file. web-based Commercial OrgMapper is a cloud-based social and organizational network analysis platform primarily for diagnosing embedded organizational issues, uncovering communication issues between individuals or units, and identifying individuals who connect departments and products, or are influential to others. It's an automated easy-to-use tool designed to capture, visualize and analyze complex networks of formal and informal relations within a community or organization. OrgMapper has two modules to fit into various types of organizational development projects, and offers a certification program for users to be able to conduct independent analyses.
Polinode Online web application for visualizing and analysing network data. Includes integrated data collection functionality Data can either be uploaded directly in Excel, JSON or GEXF format or collected via the included survey functionality Excel, JSON and GEXF (Graph Exchange Format) Windows, Linux, Mac (web-based) Commercial. Free for public networks and for small surveys Polinode is an online platform for organizational and social network analysis. It includes a powerful and easy-to-use integrated visualization component which allows the user to interact with and analyse network data. Advanced network statistics can be calculated and resulting network visualizations may be filtered, coloured and sized by any numerical or categorical metric
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;
  • PAFit can analyse the evolution of complex networks by estimating preferential attachment and node fitness;
  • tnet performs analysis of weighted networks, two-mode networks, and longitudinal networks;
  • ergm is a set of tools to analyze and simulate networks based on exponential random graph models exponential random graph models;
  • Bergm provides tools for Bayesian analysis for exponential random graph models;
  • hergm implements hierarchical exponential random graph models;
  • RSiena allows the analyses of the evolution of social networks using dynamic actor-oriented models;
  • latentnet has functions for network latent position and cluster models;
  • degreenet provides tools for statistical modeling of network degree distributions;
  • networksis provides tools for simulating bipartite networks with fixed marginals;
  • multiplex offers tools for the analysis of multiple social networks with algebra;
  • netdiffuseR was designed for the analysis of network diffusion of innovations (and diffusion in general);
  • bipartite provides functions to visualise and calculate indices used to describe bipartite graphs. It focuses on webs, i.e., ecological networks.
Radatools / Radalib Properties, communities and multiresolution of networks ASCII Plain Text, Pajek (.net, .clu) ASCII Plain Text, Pajek (.net, .clu) Windows, Linux, Mac Open Source Radatools (source code available as Radalib) is a set of about 30 command-line programs for the analysis of complex networks, with main attention to the calculation of structural properties, community detection, and multiresolution of the whole mesoscale.
Socilyzer A web-based social network analysis tool which includes data collection, analysis, and visualization. Data can be collected using the built-in survey module, entered manually, or imported as matrices or edgelists and attribute lists. Data can be exported as a CSV file (edgelist) or a VNA file. Windows, Linux, Mac (web-based) Commercial A web-based social network analysis tool primarily for managers and management consultants, however, also used at multiple universities for research and education purposes.
Social Network Visualizer Social network analysis and visualization application GraphML (.graphml), GraphViz(.dot), Pajek(.net, .gml), GraphViz(.dot), UCINET(.dl), Adjacency sociomatrix (.adj, .txt), Affiliation matrix (.aff, .dat), edge list(.csv) Default format GraphML. Can export to Pajek, Adjacency matrix format, PDF, PNG, JPG Windows, Linux, Mac Open Source A cross-platform graphical application for the analysis and visualization of social networks primarily useful to social researchers. It allows the user to load or create and modify social networks, analyse their social and mathematical properties and apply visualization layouts for relevant presentation in papers etc. Can create known social datasets automatically as well as random networks and small worlds. Computes basic graph properties, such as density, diameter, geodesics and geodesic distances, connectedness, eccentricity, etc. It also calculates advanced structural measures for social network analysis such as centrality and prestige indices (i.e. closeness centrality, betweeness centrality, information centrality, power centrality, proximity and rank prestige), triad census, cliques, clustering coefficient, etc. SocNetV includes a web crawler which can create a social network from pages links.
SocioViz Network overview, influencer discovery and exploration. Twitter scraping. Socioviz read data directly from Twitter API Excel(.csv), Gephi(.gexf) Any system supporting Java Free Socioviz is a web-based Twitter analytics platform powered by Social Network Analysis metrics.

Allows user to query Twitter conversations and find most influential people based on who replies to whom and who mentioned whom. Social Network graphs (user mention and hashtag copresence) are visualized and can be exported in Gephi format (gexf) for further analysis.

SVAT Visual analytics for investigation GraphViz(.dot), Graphlet(.gml), GUESS(.gdf), LEDA(.gml), NetworkX(.graphml, .net), NodeXL(.graphml, .net), Pajek(.net, .gml), Sonivis(.graphml), Tulip(.tlp, .dot), UCINET(.dl), yEd(.gml), Gephi (.gexf), Edge list(.csv), databases - Oracle, MSSQL, PostgreSQL, MySQL, Webservices... GUESS(.gdf), Gephi(.gexf), .svg, .png Any system supporting Java 1.6 and OpenGL Closed source modules, Open Source modules from Gephi Commercial tool based on Gephi.
TEAMsCOM A cloud - based solution which automatically collect data of your employees’ activities and make social network analyses or organizational network analyses over this data. Data is collected automatically from Google Apps for Work interfaces. Reports can be export as .pdf .

Data can be exported as CVS.

 All platforms Windows, Linux, Mac, web-based Commercial with free trial Results from TEAMsCOM, a social network analysis tool, are primary dedicated to all levels managers to optimize company performance, talent management, change management, team development and so on. Data is collected automatically from Google Apps for Works interfaces; therefore TEAMsCOM brings outputs immediately and without any bothering of employees. It gives you a unique opportunity to see informal organizational structure of the company without any additional effort.
Tulip Social Network Analysis tool Tulip format (.tlp), GraphViz (.dot), GML, txt, adjacency matrix .tlp, .gml Windows Vista, XP, 7/ Linux / Mac OS LGPL Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems he or she is addressing.
UCINET Social network analysis and visualization DL, Excel, VNA, Pajek, Text DL, Excel, Pajek, Mage, Metis, VNA from netdraw. Windows Commercial and Student with free trial period. UCINET is a comprehensive social network analysis tool which comes with the integrated visualization tool Netdraw (available free separately). It has a comprehensive help system. 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 (Social Network Analysis Tool) Download usenet messages and save SNA output files Reads from free NNTP servers Creates CSV files and Pajek .net files Any system supporting Java Open Source 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.
CrossLead Social network analysis and visualization csv or read directly from CrossLead Platform Visualization in proprietary CrossLead Platform, download as CSV Any system supporting WebGL Free trial, Subscription A web application for conducting organizational network analysis (ONA)
visone Visual Social Network Analyses and Exploration many formats many formats Windows, Linux, Mac OS (Java based) Free (also for commercial use) visone is a software for the analysis and visualization of social networks. It is currently developed by Algorithmics group at the University of Konstanz.
Wolfram Alpha Graph analysis, time series analysis, categorical data analysis Facebook API Many formats Web service Free Wolfram Alpha is a general computational knowledge engine answering queries on many knowledge domains. Give it the input "Facebook report" and it will answer queries on analysis of your social network data,[12][13]

See also

References

  1. ↑ J. F. Padgett, "Robust Action and the Rise of the Medici, 1400–1434" American Journal of Sociology, 1993
  2. ↑ Wasserman & Faust, Social Network Analysis Methods and Applications
  3. ↑ Robert Hanneman (1998-10-20). "Introduction to Social Network Methods: Table of Contents". Faculty.ucr.edu. Retrieved 2012-10-24.
  4. ↑ "Introduction to Social Network Methods: Chapter 1: Social Network Data". Faculty.ucr.edu. Retrieved 2012-10-24.
  5. ↑ "Only connect: Felix Grant looks at the application of data analysis software to social networks", Scientific Computing World June 2010: pp 9–10.
  6. ↑ "Homophily". Analytictech.com. Retrieved 2012-10-24.
  7. ↑ "MuxViz: a tool for multilayer analysis and visualization of networks", Journal of Complex Networks Vol. 3, 159.
  8. ↑ "Social Network Analysis in R". Sna.stanford.edu. Retrieved 2012-10-24.
  9. ↑ "JoSS: Journal of Social Structure". Cmu.edu. Retrieved 2012-10-24.
  10. ↑ Prieto Gutiérrez, J. J. (2011). Herramientas para el análisis y monitoreo en Redes Sociales. International Review of Information Ethics, 16, 12
  11. ↑ Bastian, M., Heymann, S., & Jacomy, M. (2009, May). Gephi: an open source software for exploring and manipulating networks. In ICWSM (pp. 361-362).
  12. ↑ Facebook friends mapped by Wolfram Alpha app BBC News
  13. ↑ Wolfram Alpha Launches Personal Analytics Reports For Facebook Tech Crunch

Notes

  • Barnes, J. A. "Class and Committees in a Norwegian Island Parish", Human Relations 7:39-58
  • Borgatti, S. (2002). NetDraw Software for Network Visualization. Lexington, KY: Analytic Technologies.
  • Borgatti, S. E. (2002). Ucinet for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies.
  • 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.
  • Hansen, William B. and Reese, Eric L. 2009. Network Genie Users Manual. Greensboro, NC: Tanglewood Research.
  • 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 (3): 115–36. doi:10.1257/jep.14.3.115.  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.
  • Newman, Mark (2003). "The Structure and Function of Complex Networks" (PDF). SIAM Review. 45 (2): 167–256. doi:10.1137/S003614450342480. 
  • 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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