ICTlogy

Network Analysis

• Pajek, Program for Large Network Analysis
• Gephi, an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs. See also http://blog.ouseful.info/2010/04/16/getting-started-with-gephi-network-visualisation-app-my-facebook-network-part-i/ and http://blog.ouseful.info/2010/04/23/getting-started-with-gephi-network-visualisation-app-%E2%80%93-my-facebook-network-part-ii-basic-filters/
• UCINET, A comprehensive package for the analysis of social network data as well as other 1-mode and 2-mode data See: Borgatti, S.; Everett, M.; Freeman, L. (2002) UCINET 6. Harvard, MA: Analytic Technologies. http://www.analytictech.com/
• Networkx is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks
• BINViz, (Bidirectional Interactive Network Visualization) is a JavaScript library for network and graph visualization. The goal of this tool is to provide a better way to visualize complex graphical models and the underlying data in a web-based environment.
• Sixdegrees Network Analyser, C++ and Python based open source graph visualization and analysis software, primarily intended for use in the analysis of social networks (other applications are also conceivable).
• MultiNet: http://www.sfu.ca/personal/archives/richards/Multinet/Pages/multinet.htm
• InFlow, Social Networking Mapping Software.
• AgentSheets allows non-programmers to create agents with behaviors and missions.
• Swivel For exploring and comparing data, graphs and maps.
• Internet Community Text Analyzer (ICTA)
• Netminer: http://www.netminer.com/NetMiner/home_01.jsp
• PSPAR: analysis softi for Windows. http://www.sfu.ca/personal/archives/richards/Pages/pspar.html See the book for social selection models: Robins, G.; Elliott, P.; Pattison, P. (2001) Network models for social selection processes. Social Networks, 23, 1-30.
• BLANCHE: computantional framework to help in the modelization of network simulation (building and assessing quantitative simulations in organizational networks). Microsoft Visual C++ for Windows. http://www.spcomm.uiuc.edu/Projects/TECLAB/BLANCHE/

Dynamic systems simulation

• STELLA. Richmond, B. (2001) An introduction to systems thinking: STELLA. Hanover, NH: High Performance Systems.
• STELLA/iThink (Richmond,B.; Peterson, S. (1993) STELLA II: An introduction to systems thinking. Hanover, NH: High Performance Systems. http://www.iseesystems.com/
• DYNAMO. Hanneman, R.A. (1988) Computer-assisted theory building: Modeling dynamic social Systems. Newbury Park, CA: Sage.
• POWERSIM. Same data format from STELLA. http://www.powersim.no/
• VENSIM http://www.vensim.com/software.html
• SIENA (Simulation Investigation for Empirical Network Analysis). Fa anàlisi sobre la base de simulacions per un ordinador d’un model probabilístic per a l’evolució de la xarxa social (la tècnica analítica estadística amb dades longitudinals de xarxa la va desenvolupar Snijders). http://stat.gamma.rug.nl/siena.html
• Snijders, T.A.B. (2001) The statistical evaluation of social network dynamics. In M.E. Sobel & M.P. Becker (Eds.), Sociological methodology 2001 (pp. 361-395). Boston, MA: Blackwell.

STELLA, SYNAMO, POWERSIM and VENSIM to analyze the non-linear relationships between variables or concepts such as work, stress or productivity.

Bibliography

• Haythornthwaite, C. (1996) Social network analysis: An approach and technique for the study of information exchange. Library & Information Science Research, 18, 323-342.
• Marsden, P.V. (1990) Network data and measurement. Annual Review of Sociology, 16, 435-463.
• Monge, P.R. (1987) The network level of analysis. In C.R. Berger & S.H. Chaffee (Eds.), Handbook of communication science (pp. 239-270). Newbury Park, CA: Sage.
• Monge, P.R.; Contractor, N.S. (1988) Communication networks: Measurement techniques. In C.H. Tardy (Ed.), A handbook for the study of human communication (pp. 107-138). Norwood, NJ: Ablex.
• Scott, J. (1988) Trend report: Social network analysis. Sociology, 22, 109-127.
• Stohl, C. (1995) Organizational communication: Connectedness in action. Thousand Oaks, CA: Sage.
• Wasserman, S.; Faust, K. (1994) Social network analysis: Methods and applications. New York: Cambridge University Press.
• Wigand, R.T. (1988) Communication network analysis: History and overview. In G. Goldhaber & G. Barnett (Eds.), Handbook of organizational communication (pp. 319-359). New York: Ablex.

NOTE: page generously improved thanks to Silvia Sivera Bello