Local Network Effects and Complex Network Structure
Sundararajan Arun
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Sundararajan Arun: New York University, arun@stern.nyu.edu
The B.E. Journal of Theoretical Economics, 2008, vol. 7, issue 1, 37
Abstract:
This paper presents a model of local network effects in which agents connected in a social network each value the adoption of a product by a heterogeneous subset of other agents in their neighborhood, and have incomplete information about the structure and strength of adoption complementarities between all other agents. I show that the symmetric Bayes-Nash equilibria of this network game are in monotone strategies, can be strictly Pareto-ranked based on a scalar neighbor-adoption probability value, and that the greatest such equilibrium is uniquely coalition-proof. Each Bayes-Nash equilibrium has a corresponding fulfilled-expectations equilibrium under which agents form local adoption expectations. Examples illustrate cases in which the social network is an instance of a Poisson random graph, when it is a complete graph, a standard model of network effects, and when it is a generalized random graph. A generating function describing the structure of networks of adopting agents is characterized as a function of the Bayes-Nash equilibrium they play, and empirical implications of this characterization are discussed.
Keywords: social networks; network science; network externalities; network goods; rational expectations; local information; complex network; small-world (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (15)
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:bejtec:v:7:y:2008:i:1:n:46
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DOI: 10.2202/1935-1704.1319
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