Competitive contagion in networks

We develop a game-theoretic framework for the study of competition between firms who have budgets to "seed" the initial adoption of their products by consumers located in a social network. The payoffs to the firms are the eventual number of adoptions of their product through a competitive stochastic diffusion process in the network. This framework yields a rich class of competitive strategies, which depend in subtle ways on the stochastic dynamics of adoption, the relative budgets of the players, and the underlying structure of the social network. We identify a general property of the adoption dynamics --- namely, decreasing returns to local adoption --- for which the inefficiency of resource use at equilibrium (the Price of Anarchy) is uniformly bounded above, across all networks. We also show that if this property is violated the Price of Anarchy can be unbounded, thus yielding sharp threshold behavior for a broad class of dynamics. We also introduce a new notion, the Budget Multiplier, that measures the extent that imbalances in player budgets can be amplified at equilibrium. We again identify a general property of the adoption dynamics --- namely, proportional local adoption between competitors --- for which the (pure strategy) Budget Multiplier is uniformly bounded above, across all networks. We show that a violation of this property can lead to unbounded Budget Multiplier, again yielding sharp threshold behavior for a broad class of dynamics.

[1]  Antoni Calvó-Armengol,et al.  Centre De Referència En Economia Analítica Barcelona Economics Working Paper Series Working Paper Nº 178 Who's Who in Networks. Wanted: the Key Player Who's Who in Networks. Wanted: the Key Player Barcelona Economics Wp Nº 178 , 2022 .

[2]  Adrian Vetta,et al.  Nash equilibria in competitive societies, with applications to facility location, traffic routing and auctions , 2002, The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings..

[3]  Christos H. Papadimitriou,et al.  Worst-case equilibria , 1999 .

[4]  A. Galeotti,et al.  Influencing the influencers: a theory of strategic diffusion , 2009 .

[5]  J. Coleman,et al.  Medical Innovation: A Diffusion Study. , 1967 .

[6]  David Godes,et al.  Using Online Conversations to Study Word-of-Mouth Communication , 2004 .

[7]  Pradeep Dubey,et al.  Inefficiency of Nash Equilibria , 1986, Math. Oper. Res..

[8]  Stefan M. Wild,et al.  Maximizing influence in a competitive social network: a follower's perspective , 2007, ICEC.

[9]  R. Tollison,et al.  Toward a theory of the rent-seeking society , 1982 .

[10]  Jeff S. Shamma,et al.  Control of preferences in social networks , 2010, 49th IEEE Conference on Decision and Control (CDC).

[11]  Pradeep Dubey,et al.  Competing for Customers in a Social Network: The Quasi-linear Case , 2006, WINE.

[12]  S. Skaperdas Contest success functions , 1996 .

[13]  Christos H. Papadimitriou,et al.  Worst-case Equilibria , 1999, STACS.

[14]  Shishir Bharathi,et al.  Competitive Influence Maximization in Social Networks , 2007, WINE.

[15]  Mark S. Granovetter Threshold Models of Collective Behavior , 1978, American Journal of Sociology.

[16]  Peter H. Reingen,et al.  Brand Congruence in Interpersonal Relations: A Social Network Analysis , 1984 .

[17]  M. Rosenzweig,et al.  Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture , 1995, Journal of Political Economy.

[18]  Gerard R. Butters Equilibrium Distributions of Sales and Advertising Prices , 1977 .

[19]  Allan Borodin,et al.  Threshold Models for Competitive Influence in Social Networks , 2010, WINE.

[20]  Timothy G. Conley,et al.  Learning About a New Technology: Pineapple in Ghana , 2010 .

[21]  J. Coleman,et al.  Medical Innovation: A Diffusion Study. , 1967 .

[22]  Tim Roughgarden,et al.  How bad is selfish routing? , 2002, JACM.

[23]  Elchanan Mossel,et al.  Submodularity of Influence in Social Networks: From Local to Global , 2010, SIAM J. Comput..

[24]  G. Tullock THE WELFARE COSTS OF TARIFFS, MONOPOLIES, AND THEFT , 1967 .

[25]  Linda L. Price,et al.  The market maven: A diffuser of marketplace information. , 1987 .

[26]  C. Shapiro,et al.  Informative Advertising with Differentiated Products , 1984 .

[27]  Éva Tardos,et al.  Influential Nodes in a Diffusion Model for Social Networks , 2005, ICALP.