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  Evolutionary games in self-organizing populations

Traulsen, A., Santos, F. C., & Pacheco, J. M. (2009). Evolutionary games in self-organizing populations. In T. Gross, & H. Sayama (Eds.), Adaptive Networks: Theory, Models and Applications (pp. 253-266). Dordrecht [u.a.]: Springer.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000F-D580-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-000F-D581-5
Genre: Book Chapter

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Traulsen_2009.pdf (Publisher version), 480KB
 
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 Creators:
Traulsen, Arne1, 2, Author              
Santos, Francisco C., Author
Pacheco, Jorge M., Author
Affiliations:
1Department Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445634              
2Research Group Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              

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 Abstract: Social networks are dynamic: We make new friends and loose touch with old ones, depending on the interactions with them. Most analytic studies of social networks assume that links remain unchanged at all times. In this case, individuals have no control over the number, frequency or duration of their interactions with others. Here, we discuss analytical and numerical models in which individuals can break links and create new ones. Interactions are modeled as general symmetric twoplayer games. Once a link between two individuals has formed, the productivity of this link is evaluated. Links can be broken off at different rates. In the limiting cases where linking dynamics is much faster than evolutionary dynamics or vice-versa, the system can be tackled analytically.We show how the individual capacity of forming new links or severing inconvenient ones can change the nature of the game. If the linking rules are local, numerical simulations show that networks emerge that have several features of real-world social networks.

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Language(s): eng - English
 Dates: 2009-08-11
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 437771
DOI: 10.1007/978-3-642-01284-6
Other: 2720/S 39040
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Title: Adaptive Networks: Theory, Models and Applications
Source Genre: Book
 Creator(s):
Gross, Thilo, Editor
Sayama, Hiroki, Editor
Affiliations:
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Publ. Info: Dordrecht [u.a.] : Springer
Pages: XIX, 332 S. Volume / Issue: - Sequence Number: - Start / End Page: 253 - 266 Identifier: ISBN: 978-3-642-01283-9

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Title: Understanding Complex Systems
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1860-0832 (print)
ISSN: 1860-0840 (online)