The effect of clustering coefficient and node degree on the robustness of cooperation

Menglin Li, Colm O'Riordan

    Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

    14 Citations (Scopus)

    Abstract

    This paper explores the robustness of cooperation in a spatially organised population of agents participating in the N-player prisoner's dilemma. The agents are placed on graphs exhibiting different properties and the relationship between these properties and the robustness of cooperation is explained. In particular, this paper analyses the effect the clustering coefficient and the average node degree has on cooperation. In addition to theoretical analysis, rigorous experiments, involving the creation of graphs exhibiting certain desirable properties, are undertaken to explore the effect of the graph properties on the ability of cooperation to resist invasion. Both the theoretical and the experimental results show that when the average degree is high, the population loses the ability to maintain cooperation in the presence of defectors. However, for graphs with lower average node degree, a higher clustering coefficient will guarantee a relatively high cooperation rate.

    Original languageEnglish
    Title of host publication2013 IEEE Congress on Evolutionary Computation, CEC 2013
    Pages2833-2839
    Number of pages7
    DOIs
    Publication statusPublished - 2013
    Event2013 IEEE Congress on Evolutionary Computation, CEC 2013 - Cancun, Mexico
    Duration: 20 Jun 201323 Jun 2013

    Publication series

    Name2013 IEEE Congress on Evolutionary Computation, CEC 2013

    Conference

    Conference2013 IEEE Congress on Evolutionary Computation, CEC 2013
    Country/TerritoryMexico
    CityCancun
    Period20/06/1323/06/13

    Keywords

    • Cooperation
    • Evolutionary game
    • Prisoner's Dilemma

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