[1]仇建平.共演博弈下的网络合作[J].智能系统学报,2014,9(1):88-91.[doi:10.3969/j.issn.1673-4785.201309020]
QIU Jianping.Network cooperation of co-evolutionary games[J].CAAI Transactions on Intelligent Systems,2014,9(1):88-91.[doi:10.3969/j.issn.1673-4785.201309020]
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QIU Jianping.Network cooperation of co-evolutionary games[J].CAAI Transactions on Intelligent Systems,2014,9(1):88-91.[doi:10.3969/j.issn.1673-4785.201309020]
共演博弈下的网络合作
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
9
期数:
2014年第1期
页码:
88-91
栏目:
学术论文—人工智能基础
出版日期:
2014-02-25
- Title:
- Network cooperation of co-evolutionary games
- 分类号:
- TP393.4
- 摘要:
- 针对社会网络上个体之间的竞争与合作, 设计了社会网络模型。通过引入博弈理论, 仿真社会网络个体间复杂的交互关系, 即合作者或背叛者依据收益矩阵和邻居节点进行博弈。仿真结果显示当影响度过低或过高时, 合作不易形成, 影响度适中时合作水平最高;当收益固定时, 合作变为扩散, 形成更高的威望。最后, 通过MovieLens数据集验证了群聚效应的存在, 分析了舆论领袖对于网络群体的巨大影响力。
- Abstract:
- In accordance with competition and cooperation among individuals in social networks, a social network model has been designed. Game theory is introduced to simulate the complicated interaction relations among individuals in social networks. Cooperators or defectors interact with their neighbors following the payoff matrix. It can be seen that the cooperative behavior is easy to extinct for too low or too high values of degrees of influence, and the maximum cooperation level is achieved for medium values of degrees of influence. When the reward is fixed, the cooperative behavior can gradually diffuse and build higher reputations. Finally, we verified the existence of the cluster effect based on the MovieLens dataset and analyzed important influences of opinion leaders in netizen groups.
- 参考文献/References:
-
[1] PAN Wei, AHARONY N, PENTLAND A. Composite social network for predicting mobile apps installation[C]//The 25th AAAI Conference on Artificial Intelligence. San Francisco, USA: AAAI Press, 2011: 821-827.
[2] ZHANG Chengjun, ZENG An. Behavior patterns of online users and the effect on information filtering[J]. Physical A: Statistical Mechanics and its Applications, 2011, 391(12): 1822-1830.
[3] GUO S, WANG Mengqiu, LESKOVEC J. The role of social networks in online shopping: information passing, price of trust, and consumer choice[C]//The 12th ACM Conference on Electronic Commerce. New York, USA: ACM Press, 2011: 157-166.
[4] DODDS P S, WATTS D J. Universal behavior in a generalized model of contagion[J]. Physical Review Letter, 2004, 92(21): 1-4.
[5] AGLIARI E, BURIONI R, CASSI D, et al. Efficiency of information spreading in a population of diffusing agents[J]. Physical Review E, 2006, 73(1): 1-16.
[6] GABBAY M. The effects of nonlinear interactions and network structure in small group opinion dynamics[J]. Physical A, 2007, 378(1): 118-126.
[7] AXELROD R. The evolution of cooperation[M]. New York: American Association for the Advancement of Science, 1981: 1390-1396.
[8] SZABO G, TOKE C. Evolutionary prisoner’s dilemma game on a square lattice[J]. Physical Review E, 1998, 58(1): 69-73.
[9] 王根生.网络舆情群体极化动力模型与仿真分析[J].情报杂志, 2012, 31(3): 20-24.WANG Gensheng. Dynamic model and simulation analysis of group polarization of online public opinion[J]. Journal of Intelligence, 2012, 31(3): 20-24.
[10] MOSCOVICI S. The age of the crowd: a historical treatise on mass psychology[M]. Cambridge: Cambridge University Press, 1985: 439-450.
- 相似文献/References:
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LI Hui,MA Xiaoping,HU Yun,et al.Social network recommendaton system mixing contex information[J].CAAI Transactions on Intelligent Systems,2015,10():293.[doi:10.3969/j.issn.1673-4785.201406017]
备注/Memo
收稿日期:2013-09-07。
基金项目:山西省回国留学人员科研基金资助项目(2013-097).
通讯作者:仇建平,男,1973年生,讲师,主要研究方向为复杂网络、人工智能,发表学术论文10余篇,参编专著1部,编写教材1部.E-mail:920868329@qq.com.
更新日期/Last Update:
1900-01-01