Volume 105, Number 4, February 2014
|Number of page(s)||6|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||10 March 2014|
Robustness of cooperation on scale-free networks in the evolutionary prisoner's dilemma game
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University - Beijing 100191, China and Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University - Beijing 100191, China
Received: 8 November 2013
Accepted: 17 February 2014
We have studied the robustness of cooperation on scale-free (SF) networks in the prisoner's dilemma game under different attack strategies. Although previous works have demonstrated that increasing heterogeneity constitutes higher levels of cooperation, we elaborated on this subject further by introducing a parameter α to take into consideration two significant aspects during an attack. We have shown that it is possible to precisely control the cooperation level on SF networks to be robust or fragile . Moreover, we studied the evolution on SF networks against a different attack strategy, taking over the nodes instead of simply removing the nodes, to address the functional importance of a node. Notably, the network structure remains the same during the evolutionary process under this attack strategy, which allows us to investigate the correlation between the functional significance and survival of cooperation. Our results highlight the underlying mechanism of cooperation behavior on SF networks and have several important implications for public health and networks security.
PACS: 89.75.Fb – Structures and organization in complex systems / 02.50.Le – Decision theory and game theory / 89.65.-s – Social and economic systems
© EPLA, 2014
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.