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Networking the seceder model: Group formation in social and economic systems
2004 (English)In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics: Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, ISSN 1063-651X, E-ISSN 1095-3787, Vol. 70, no 3, 036108- p.Article in journal (Refereed) Published
Abstract [en]

The seceder model illustrates how the desire to be different from the average can lead to formation of groups in a population. We turn the original, agent based, seceder model into a model of network evolution. We find that the structural characteristics of our model closely match empirical social networks. Statistics for the dynamics of group formation are also given. Extensions of the model to networks of companies are also discussed.

Place, publisher, year, edition, pages
2004. Vol. 70, no 3, 036108- p.
Keyword [en]
Algorithms, Computer simulation, Graph theory, Markov processes, Social aspects, Statistics
National Category
Social Sciences Interdisciplinary
Identifiers
URN: urn:nbn:se:kth:diva-24718DOI: 10.1103/PhysRevE.70.036108ISI: 000224302300024OAI: oai:DiVA.org:kth-24718DiVA: diva2:352990
Note
QC 20100923Available from: 2010-09-23 Created: 2010-09-23 Last updated: 2017-12-12Bibliographically approved

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Holme, Petter
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Physical Review E. Statistical, Nonlinear, and Soft Matter Physics: Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
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