Literature DB >> 17504741

Participation costs dismiss the advantage of heterogeneous networks in evolution of cooperation.

Naoki Masuda1.   

Abstract

Real social interactions occur on networks in which each individual is connected to some, but not all, of others. In social dilemma games with a fixed population size, heterogeneity in the number of contacts per player is known to promote evolution of cooperation. Under a common assumption of positively biased pay-off structure, well-connected players earn much by playing frequently, and cooperation once adopted by well-connected players is unbeatable and spreads to others. However, maintaining a social contact can be costly, which would prevent local pay-offs from being positively biased. In replicator-type evolutionary dynamics, it is shown that even a relatively small participation cost extinguishes the merit of heterogeneous networks in terms of cooperation. In this situation, more connected players earn less so that they are no longer spreaders of cooperation. Instead, those with fewer contacts win and guide the evolution. The participation cost, or the baseline pay-off, is irrelevant in homogeneous populations, but is essential for evolutionary games on heterogeneous networks.

Mesh:

Year:  2007        PMID: 17504741      PMCID: PMC2270926          DOI: 10.1098/rspb.2007.0294

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  20 in total

1.  Emergence of scaling in random networks

Authors: 
Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

2.  A dynamic model of social network formation.

Authors:  B Skyrms; R Pemantle
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-01       Impact factor: 11.205

3.  Coevolutionary games on networks.

Authors:  Holger Ebel; Stefan Bornholdt
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-11-20

4.  Spatial structure often inhibits the evolution of cooperation in the snowdrift game.

Authors:  Christoph Hauert; Michael Doebeli
Journal:  Nature       Date:  2004-04-08       Impact factor: 49.962

5.  Scale-free networks provide a unifying framework for the emergence of cooperation.

Authors:  F C Santos; J M Pacheco
Journal:  Phys Rev Lett       Date:  2005-08-26       Impact factor: 9.161

6.  Cooperation, social networks, and the emergence of leadership in a prisoner's dilemma with adaptive local interactions.

Authors:  Martín G Zimmermann; Víctor M Eguíluz
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2005-11-16

Review 7.  Five rules for the evolution of cooperation.

Authors:  Martin A Nowak
Journal:  Science       Date:  2006-12-08       Impact factor: 47.728

8.  A simple rule for the evolution of cooperation on graphs and social networks.

Authors:  Hisashi Ohtsuki; Christoph Hauert; Erez Lieberman; Martin A Nowak
Journal:  Nature       Date:  2006-05-25       Impact factor: 49.962

9.  Dynamic instabilities induced by asymmetric influence: prisoners' dilemma game in small-world networks.

Authors:  Beom Jun Kim; Ala Trusina; Petter Holme; Petter Minnhagen; Jean S Chung; M Y Choi
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-08-26

10.  Graph topology plays a determinant role in the evolution of cooperation.

Authors:  F C Santos; J F Rodrigues; J M Pacheco
Journal:  Proc Biol Sci       Date:  2006-01-07       Impact factor: 5.349

View more
  34 in total

1.  Conformity enhances network reciprocity in evolutionary social dilemmas.

Authors:  Attila Szolnoki; Matjaž Perc
Journal:  J R Soc Interface       Date:  2015-02-06       Impact factor: 4.118

2.  Evolution of individual versus social learning on social networks.

Authors:  Kohei Tamura; Yutaka Kobayashi; Yasuo Ihara
Journal:  J R Soc Interface       Date:  2015-03-06       Impact factor: 4.118

3.  Costs for switching partners reduce network dynamics but not cooperative behaviour.

Authors:  Peter Bednarik; Katrin Fehl; Dirk Semmann
Journal:  Proc Biol Sci       Date:  2014-10-07       Impact factor: 5.349

4.  How wealth accumulation can promote cooperation.

Authors:  Thomas Chadefaux; Dirk Helbing
Journal:  PLoS One       Date:  2010-10-27       Impact factor: 3.240

5.  Bipartite graphs as models of population structures in evolutionary multiplayer games.

Authors:  Jorge Peña; Yannick Rochat
Journal:  PLoS One       Date:  2012-09-10       Impact factor: 3.240

6.  Short versus long term benefits and the evolution of cooperation in the prisoner's dilemma game.

Authors:  Markus Brede
Journal:  PLoS One       Date:  2013-02-11       Impact factor: 3.240

7.  Network fluctuations hinder cooperation in evolutionary games.

Authors:  Alberto Antonioni; Marco Tomassini
Journal:  PLoS One       Date:  2011-10-19       Impact factor: 3.240

8.  Clustering in large networks does not promote upstream reciprocity.

Authors:  Naoki Masuda
Journal:  PLoS One       Date:  2011-10-05       Impact factor: 3.240

9.  Population structure induces a symmetry breaking favoring the emergence of cooperation.

Authors:  Jorge M Pacheco; Flávio L Pinheiro; Francisco C Santos
Journal:  PLoS Comput Biol       Date:  2009-12-11       Impact factor: 4.475

10.  Interdependent network reciprocity in evolutionary games.

Authors:  Zhen Wang; Attila Szolnoki; Matjaž Perc
Journal:  Sci Rep       Date:  2013-01-31       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.