Local Network Effects and Network Structure

38 Pages Posted: 9 Oct 2008

See all articles by Arun Sundararajan

Arun Sundararajan

NYU Stern School of Business; New York University (NYU) - Center for Data Science

Date Written: January 2005


This paper presents a model of local network effects in which agents 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. It shows that the symmetric Bayes-Nash equilibria of a general adoption game are in monotone strategies, can be strictly Pareto-ranked, and the greatest such equilibrium is uniquely coalition-proof. Each Bayes-Nash equilibrium has a corresponding fulfilled-expectations equilibrium under which agents form adoption expectations locally. Examples analyze social networks that are instances of a generalized random graph, and that are complete graphs (a standard model of network effects). The structure of the network of adopting agents is characterized as a function of the equilibrium played, and empirical implications of this characterization are discussed.

Suggested Citation

Sundararajan, Arun, Local Network Effects and Network Structure (January 2005). NYU Working Paper No. 2451/14098, Available at SSRN: https://ssrn.com/abstract=1281296

Arun Sundararajan (Contact Author)

NYU Stern School of Business ( email )

44 West 4th Street, KMC 8-90
New York, NY 10012
United States

HOME PAGE: http://digitalarun.ai/

New York University (NYU) - Center for Data Science ( email )

726 Broadway
7th Floor
New York, NY 10003
United States