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Social Network Analysis is the study of the relationship between entities where such entities are people, organizations, resources, tasks and events. These studies are used by law enforcement, intelligence analysts, social analysts and organizational analysts.

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Agna (www.geocities.com/imbenta/agna/index.htm)
Agna is a freeware application designed for social network analysis, sociometry and sequential analysis. It can assist in the study communication relations in groups, kinship relations and the structure of animal behavior. The most recent version is Agna 2.1.1.

Analyst's Notebook (www.i2.co.uk)
Analyst's Notebook provides an environment for effective link and timeline analysis. It is an essential visualization application, but not an analytical tool.

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CASOS (www.casos.cs.cmu.edu)
The Center for Computational Analysis of Social and Organizational Systems (CASOS) is a Carnegie Mellon center which draws from several university departments. It brings together computer science, dynamic network analysis and the empirical study of complex socio-technical systems. Computational and social network techniques are combined to develop a better understanding of the fundamental principles of organizing, coordinating, managing and destabilizing systems of intelligent adaptive agents (human and artificial) engaged in real tasks at the team, organizational or social level.

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DyNetML (casos.isri.cmu.edu/dynetml)
This paper proposes an XML-derived language that addresses requirements for expressivity and compatibility in social networks. They outline their vision for the development of social network analysis tool chains which will increase the ability of researchers to share and analyze data.

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Graphlet (www.infosun.fmi.uni-passau.de/Graphlet/)
Graphlet is a toolkit for graph editors and graph algorithms. Graphlet consists of a core which is implemented in C++ using STL and GTL, the Graphscript programming language which is based on Tcl/Tk, and the graphlet graph editor, which is implemented in Graphscript.

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How to Use SPSS to Study Ego-Centered Networks (www.chass.utoronto.ca/~wellman/publications/howtousespss/article.html)
SPSS's data-handling facilities make it useful for studying ego-centered networks. They show how analyses of ego-centered networks are best done by starting with two data sets: (1) focal individuals and their ego-centered networks; (2) network members and their ties with focal individuals. They show how to link these two data sets to (a) calculate summary information about each ego-centered network; (b) combine focal individual, tie and network data.

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InFLow (www.orgnet.com)
InFlow is a software based, organization network analysis methodology that maps and measures knowledge exchange, information flow, communities of practice, networks of alliances and other networks within and between organizations.

International Network for Social Network Analysis (www.insna.org)
INSNA is the professional association for researchers interested in social network analysis. The association is a non-profit organization.

Introduction to Social Network Methods (faculty.ucr.edu/~hanneman/nettext/)
This on-line textbook introduces many of the basics of formal approaches to the analysis of social networks. It provides very brief overviews of a number of major areas with some examples. The textbook supports Sociology 157, an undergraduate introductory course on social network analysis. The course is taught by Robert A. Hanneman of the Department of Sociology at the University of California, Riverside.

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Journal of Social Stucture (www.cmu.edu/joss/)
The Journal of Social Structure (JoSS) is an electronic journal of the International Network for Social Network Analysis (INSNA). JoSS publishes manuscripts that are focused on social structure-on the patterning of social linkages among actors. These actors could be comprised of different types or levels or analysis, such as animals, humans, artificial agents, groups or organizations.

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KeyPlayer (www.analytictech.com/keyplayer/keyplayer.htm)
KeyPlayer is a program for identifying an optimal set of nodes in a network for one of two basic purposes: (a) crippling the network by removing key nodes, and (b) selecting which nodes to either keep under surveillance or to try to influence via some kind of intervention. The two purposes are different and require different procedures. KeyPlayer 1.4 provides two approaches for the first goal, and one approach for the second. The program is distributed with two other free programs, namely Pajek (written by Vladimir Batagelj and Andrej Mrvar) and Mage (written by Richardson and Richardson). Pajek has nice 2-D graphics and a host of analytical tools, while Mage provides 3-D graphics.

KrackPlot (www.andrew.cmu.edu/user/krack/krackplot.shtml)
KrackPlot is a program for network visualization designed for social network analysts. KrackPlot uses a simple screen-oriented interface. You can drag nodes with the mouse to move them and click to add new nodes. Each node can be assigned a number of attributes, which can be highlighted using color and shape. KrackPlot will assign colors and shapes automatically based on the attributes, or you can control them. KrackPlot includes several tools for automatic layout of the network, including algorithms based on multi-dimensional scaling and simulated annealing as well as circular layouts.

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Linked: How Everything Is Connected to Everything
Linked: How Everything Is Connected to Everything Else and What It Means
By: Albert-László Barabási
Paperback - April 2003
A cocktail party. A terrorist cell. Ancient bacteria. An international conglomerate. All are networks, and all are a part of a surprising scientific revolution. Albert-László Barabási, the nation's foremost expert in the new science of networks, takes us on an intellectual adventure to prove that social networks, corporations, and living organisms are more similar than previously thought. Grasping a full understanding of network science will someday allow us to design blue-chip businesses, stop the outbreak of deadly diseases, and influence the exchange of ideas and information. Just as James Gleick brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future. This is an excellent primer for those interested in Social Network Analysis.

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NEGOPY (www.sfu.ca/~richards/Pages/negopy.htm)
One of the oldest network analysis programs, NEGOPY finds cliques, liaisons, and isolates in networks having up to 1,000 members and 20,000 links. NEGOPY is a discrete, linkage-based program for the analysis of networks. The primary goal of the program is to define clusters of nodes that have more contact with one another than with nodes in other clusters.

NetDraw (www.analytictech.com/downloadnd.htm)
NetDraw is a program for drawing networks. It uses (or will use) several different algorithms for laying out nodes in 2-dimensional space (3D will come later). Netdraw reads UCINET system files, UCINET DL text files, and Pajek text files (.net, .clu and .vec). It can save data to Pajek and to Mage. It can save diagrams as EMF, WMF, BMP and JPG files. It can also print directly from the program at high resolution (much better than printing document containing embedded graphics).

NetMiner (www.netminer.com/NetMiner/home_01.jsp)
'NetMiner for Windows' is a tool for Exploratory Network Data Analysis and Visualization. NetMiner allows you to explore your network data visually and interactively, and helps you to detect underlying patterns and structures of the network.

NetVis Module (www.netvis.org)
The NetVis Module is a free open source web-based tool to analyze and visualize social networks using data from csv files, online surveys, and dispersed teams.

Nexus: Small Worlds and the Groundbreaking Science
Nexus: Small Worlds and the Groundbreaking Science of Networks
By: Mark Buchanan
Hardback - May 2002
Will a network science emerge that helps us understand a variety of complex organizational systems by describing the puzzles of human behavior and connections in mathematical terms? So argues Buchanan, former editor of Nature and New Scientist. Buchanan, who holds a Ph.D. in physics, delivers a good introduction to theoretical physics and the "small worlds" theory of networks. He sees biology, computer science, physics, and sociology as intimately connected. Buchanan illustrates social and physical networks with examples ranging from the infamous "six degrees of separation" theories, to the spread of the AIDS virus, to the mapping of the nervous system of the nematode worm. If you enjoyed "Linked", Nexus is the next book you should read.

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Pajek (pajek.imfm.si)
Pajek is program for analysing large networks (networks having some hundred of thousands of vertices).

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Starlight (starlight.pnl.gov)
The Pacific Northwest National Laboratory's Starlight Information Visualization System (Starlight) is part of a new class of information system, one that couples advanced information modeling and management functionality with a visualization-oriented user interface. This approach makes relationships that exist among the items in the system visible, enabling new forms of information access, exploitation, and control. The product of over six years of information visualization research, Starlight is simultaneously a powerful information analysis tool and a platform for conducting advanced visualization research.

StOCNET (stat.gamma.rug.nl/stocnet/)
StOCNET is a project that builds an advanced software system for statistical social network analysis.

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UCINET for Windows (www.analytictech.com/ucinet/ucinet.htm)
UCINET is a comprehensive program for the analysis of social networks and other proximity data. The program con­tains dozens of network analytic routines (e.g., centrality measures, dyadic cohesion measures, positional analysis algorithms, clique finders, etc.), stochastic dyad models (P1), network hypothesis testing procedures (including QAP matrix correlation/regression and categorical and continuous attribute autocorrelation tests), plus general statistical and multi­variate analysis tools such as multi­dimensional scaling, correspondence analysis, factor analysis, cluster analysis, multiple regression, etc. In addition, UCINET provides a host of data management and transformation tools ranging from graph-theoretic procedures to a full-featured matrix algebra language.

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Visual Links (www.visualanalytics.com)
VisuaLinks® is a pattern discovery and data visualization tool. VisuaLinks manages enormous amounts of data, from a variety of sources, to expose hidden patterns, trends, associations and networks. VisuaLinks supports large numbers of users to enable enterprise-wide, distributed analysis environments.

 

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