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A dynamic model of social network formation
Open accessAbstract
We consider a dynamic social network model in which agents play repeated games in pairings determined by a stochastically evolving social network. Individual agents begin to interact at random, with the interactions modeled as games. The game payoffs determine which interactions are reinforced, and the network structure emerges as a consequence of the dynamics of the agents' learning behavior. We study this in a variety of game-theoretic conditions and show that the behavior is complex and sometimes dissimilar to behavior in the absence of structural dynamics. We argue that modeling network structure as dynamic increases realism without rendering the problem of analysis intractable.
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Cites
A Stochastic Approximation Method
Robbins, H., & Monro, S. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729586 · Cited by 9,643
Attitudinal Effects of Mere Exposure
Zajonc, R. B. (1968) · Journal of Personality and Social Psychology · doi:10.1037/h0025848 · Cited by 6,745
Cited by
A simple rule for the evolution of cooperation on graphs and social networks
Ohtsuki, H., Hauert, C., Lieberman, E., & Nowak, M. A. (2006) · Nature · doi:10.1038/nature04605 · Cited by 2,208
Introduction to stochastic actor-based models for network dynamics
Snijders, T. A. B., van de Bunt, G. G., & Steglich, C. E. G. (2010) · Social Networks · doi:10.1016/j.socnet.2009.02.004 · Cited by 2,103
Rand, D. G., & Nowak, M. A. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.06.003 · Cited by 1,308
Cooperative behavior cascades in human social networks
Fowler, J. H., & Christakis, N. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913149107 · Cited by 767
Dynamic social networks promote cooperation in experiments with humans
Rand, D. G., Arbesman, S., & Christakis, N. A. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1108243108 · Cited by 653
Metadata
- Authors
- Skyrms, B., & Pemantle, R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2000-08
- Volume
- 97
- Issue
- 16
- Pages
- 9340-9346
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1999762141
- Cited by
- 553
- References
- 2
- FWCI
- 20.49
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
