NS Seminar

Date and Location

Oct 09, 2018 - 3:30pm to 4:30pm
Bldg 434, Room 122

Abstract

A Survey of Models of Network Formation: Stability and Efficiency (presented by Su Burtner, Geography)

Jackson, Matthew O. (2003, November). A Survey of Models of Network Formation: Stability and Efficiency. In Group Formation in Economics: Networks, Clubs, and Coalitions, edited by Gabrielle Demange and Myrna Wooders. Cambridge University Press: Cambridge 2005.

I survey the recent literature on the formation of networks. I provide definitions of network games, a number of examples of models from the literature, and discuss some of what is known about the (in)compatibility of overall societal welfare with individual incentives to form and sever links

 

A Noncooperative Model of Network Formation (presented by Shadi Mohagheghi, Electrical and Computer Engineering)

Bala, V., & Goyal, S. (2000). A noncooperative model of network formation. Econometrica, 68(5), 1181-1229.

We present an approach to network formation based on the notion that social networks are formed by individual decisions that trade off the costs of forming and maintaining links against the potential rewards from doing so. We suppose that a link with another agent allows access, in part and in due course, to the benefits available to the latter via his own links. Thus individual links generate externalities whose value depends on the level of decay/delay associated with indirect links. A distinctive aspect of our approach is that the costs of link formation are incurred only by the person who initiates the link. This allows us to formulate the network formation process as a noncooperative game. We first provide a characterization of the architecture of equilibrium networks. We then study the dynamics of network formation. We find that individual efforts to access benefits offered by others lead, rapidly, to the emergence of an equilibrium social network, under a variety of circumstances. The limiting networks have simple architectures, e.g., the wheel, the star, or generalizations of these networks. In many cases, such networks are also socially efficient.