Strategic Influence in Social Networks

被引:34
作者
Grabisch, Michel [1 ]
Mandel, Antoine [1 ]
Rusinowska, Agnieszka [2 ]
Tanimura, Emily [3 ]
机构
[1] Univ Paris I Pantheon Sorbonne, Ctr Econ Sorbonne, Paris Sch Econ, F-75647 Paris 13, France
[2] Univ Paris I Pantheon Sorbonne, Ctr Econ Sorbonne, Paris Sch Econ, CNRS, F-75647 Paris 13, France
[3] Univ Paris I Pantheon Sorbonne, Ctr Econ Sorbonne, F-75647 Paris 13, France
基金
欧盟地平线“2020”;
关键词
networks; influence; centrality; strategic agents; targeting; lobbying; OPINION DYNAMICS; CENTRALITY; WISDOM; MODEL;
D O I
10.1287/moor.2017.0853
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
We consider a model of influence with a set of nonstrategic agents and two strategic agents. The nonstrategic agents have initial opinions and are linked through a simply connected network. They update their opinions as in the DeGroot model. The two strategic agents have fixed and opposed opinions. They each form a link with a nonstrategic agent in order to influence the average opinion that emerges due to interactions in the network. This procedure defines a zero-sum game whose players are the two strategic agents and whose strategy set is the set of nonstrategic agents. We focus on the existence and the characterization of pure strategy equilibria in this setting. Simple examples show that the existence of a pure strategy equilibrium does depend on the structure of the network. We characterize equilibrium with two notions: the influenceability of target agents, and their centrality, which in our context we call "intermediacy." We also show that when the two strategic agents have the same impact, symmetric equilibria emerge as natural solutions. In the case where the impacts are uneven, the game has only equilibria in mixed strategies, the high impact agent focuses on his own centrality/intermediacy and the influenceability of his opponent's target while the low influence agent focuses on the influenceability of his own target.
引用
收藏
页码:29 / 50
页数:22
相关论文
共 47 条
  • [1] Opinion Fluctuations and Disagreement in Social Networks
    Acemoglu, Daron
    Como, Giacomo
    Fagnani, Fabio
    Ozdaglar, Asuman
    [J]. MATHEMATICS OF OPERATIONS RESEARCH, 2013, 38 (01) : 1 - 27
  • [2] Opinion Dynamics and Learning in Social Networks
    Acemoglu, Daron
    Ozdaglar, Asuman
    [J]. DYNAMIC GAMES AND APPLICATIONS, 2011, 1 (01) : 3 - 49
  • [3] Bayesian Learning in Social Networks
    Acemoglu, Daron
    Dahleh, Munther A.
    Lobel, Ilan
    Ozdaglar, Asuman
    [J]. REVIEW OF ECONOMIC STUDIES, 2011, 78 (04) : 1201 - 1236
  • [4] Spread of (mis)information in social networks
    Acemoglu, Daron
    Ozdaglar, Asuman
    ParandehGheibi, Ali
    [J]. GAMES AND ECONOMIC BEHAVIOR, 2010, 70 (02) : 194 - 227
  • [5] [Anonymous], WORKING PAPER
  • [6] [Anonymous], THESIS
  • [7] [Anonymous], 2003, PROC ACM SIGKDD INT
  • [8] [Anonymous], 1415 MIT
  • [9] [Anonymous], 1987, P 19 ANN ACM S THEOR
  • [10] Learning from neighbours
    Bala, V
    Goyal, S
    [J]. REVIEW OF ECONOMIC STUDIES, 1998, 65 (03) : 595 - 621