The Effect of Node Centrality on the Evolution of Cooperation in Social Networks

被引：1
|
作者：
Mao, Yajun [1 ]
Rong, Zhihai [2 ,3 ]
机构：
[1] Beijing Technol & Business Univ, Sch Int Econ & Management, Beijing 100048, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China
[3] Nanfang Coll, Sch Elect & Comp Engn, Guangzhou 510970, Peoples R China
来源：
2022 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 22) | 2022年
基金：
中国国家自然科学基金;
关键词：
PRISONERS-DILEMMA GAME;
D O I：
10.1109/ISCAS48785.2022.9937443
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Identifying influential agents is an important issue in controlling the dynamical processes in complex networks, while centrality measurements are good ways to rank node's influence. In this paper, we combine agents' influence with their strategyupdating timescales to explore the effect of diverse influences on the emergence of cooperation in the evolutionary prisoner's dilemma game. Through Monte Carlo simulation in five realworld social networks, we find that collective influence outperforms the basic centrality measurements such as degree and coreness in ranking agent's influence, identifying the influential spreaders and promoting the evolution of cooperation. Moreover, collective influence with depth length plays an nontrivial role on the evolution of cooperation in networked systems.
引用
收藏
页码：2271 / 2275
页数：5
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