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On 4/20/03 I posted a query to the list regarding research employing
agent-based simulations in and of social networks. I would like to thank the
many individuals who responded. Below is the text of the query and a
bibliography of the responses. Enjoy.
Original query to the list:
I am looking for articles (published or working) that use multi-agent
simulations of social network processes. That is, I am looking for articles
that simulate the evolution of networks using multi-agent simulation
methodology as well as papers that seek to understanding how the topology of
network structures influence multiple agents' behaviors. Any and all
suggestions would be much appreciated. I will post a summary to the list.
Thanks in advance.
Here is a bibliography of the references I received:
K.Auer and T.Norris. "Arrieros ALife"
Bonacich, P. "The Evolution of Exchange Networks: A Simulation Study."
Journal of Social Structure. 2001.
Butts, Carter T. (1998). ``A Bayesian Model of Panic in Belief.''
Computational and Mathematical Organization Theory, 4(4), 373-404.
Kathleen M. Carley, forthcoming, “Dynamic Network Analysis” in the
Summary of the NRC workshop on Social Network Modeling and Analysis, Ron
Breiger and Kathleen M. Carley (Eds.), National Research Council.
Kathleen Carley, 1991, “A Theory of Group Stability.” American
Sociological Review , 56(3): 331-354.
Kathleen M. Carley, 1999, “On the Evolution of Social and Organizational
Networks.” In Steven B. Andrews and David Knoke (Eds.) Vol. 16 special
issue of Research in the Sociology of Organizations. on “Networks In and
Around Organizations.” Greenwhich, CN: JAI Press, Inc. Stamford, CT, pp.
Kathleen M. Carley, 1996, “Communicating New Ideas: The Potential Impact
of Information and Telecommunication Technology” Technology in Society,
Kathleen M. Carley & David M. Svoboda, 1996, “Modeling Organizational
Adaptation as a Simulated Annealing Process.” Sociological Methods and
Research, 25(1): 138-168.
Zhiang Lin and Kathleen M. Carley, forthcoming, Designing Stress
Resistant Organizations: Computational Theorizing and Crisis
Applications, Boston, MA: Kluwer.
Kathleen M. Carley, 2002, “Smart Agents and Organizations of the Future”
The Handbook of New Media. Edited by Leah Lievrouw & Sonia Livingstone,
Ch. 12 pp. 206-220, Thousand Oaks, CA, Sage.
Contractor, N.S., Whitbred, R. Fonti, F., Hyatt, A. Jones, P., O'Keefe,
B.(July, 1998). Self-organizing communication networks in organizations.
Validation of a computational model using exogenous and endogenous
theoretical mechanisms. Paper presented at the Top Paper Panel,
Organizational Communication Division, International Communication
Association, Jerusalem, Israel
Fararo, Thomas J. and Butts, Carter T. (1999). ``Advances in Generative
Structuralism: Structured Agency and Multilevel Dynamics.'' Journal of
Mathematical Sociology, 24(1), 1-65.
n.p. hummon and p. doreian. "some dynamics of social balance processes:
bringing heider back into blance theory" social networks, vol 25
pp 17-49, 2003.
Hyatt, A. S., Contractor, N. S., Jones, P. M. (1996). Computational
Organizational Network Modeling: Strategies and an Example. Paper presented
at the International Communication Association, Montreal.
J.C. Johnson, J. Boster, and L. Palinkas. "Social Roles and the Evolution of
Networks in Isolated and Extreme Environments. The Journal of Mathematical
Sociology (in press).
J.C. Johnson, L.A. Palinkas, and J.S. Boster "Informal Social Roles and the
Evolution and Stability of Social Networks". The National Academy of
Science, National Research Council (In Press).
M. Macy and R. Willer, From factors to actors, Annual Review of Sociology,
Miller, John H.; Butts, Carter T.; and Rode, David C. (2001).
``Communication and Cooperation.'' Journal of Economic Behavior and
Organization, 47, 179-195.
Morris, M. and M. Kretzschmar (1997). "Concurrent partnerships and the
spread of HIV." AIDS 11: 641-8.
Moses A. Boudourides. A SIMULATION OF SELF-ORGANIZED PLASTIC ACTORS IN AN
Zeggelink, de Vos and Elsas . Reciprocal altruism and group formation.
CASOS group at Carnegie Mellon University has developed a platform
called NetWatch that does just that - simulates evolution of
organizational networks through a multi-agent system. We dispensed
with grids and cellular automata as being too simplistic - our agents
are inspired by multi-agent work in AI field. The agents reason using
probabilistic rules, learn by interaction and morph their networks based
on literature in cognitive psych.
As far as published papers, a previous version of the simulation was
published in Computational & Mathematical Organization Theory,
8, 221-234, 2002 (Kluwer). The title of the paper is: "Emergent
Specializations in a Commodity Market: A Multi-Agent Model".
in the Introduction to Computational Modeling for Social Scientists course
by Gulyas and Cederman you can find papers and references and the whole
course material could be useful for you...
You might try Leigh Tesfatsion's webpages:
Management & Organization
School of Business
University of Washington
Seattle, WA 98195
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