Working Paper No. 816

Social Networks

Published: December 9, 2009Pages: 31Keywords: Random Graph; Game Theory; Centrality Measures; Network Formation; WeakJEL-codes: A14; C72; D85; Z13

Social Networks Joan de Marti and Yves Zenou


We survey the literature on social networks by putting together the economics, sociological and physics/applied mathematics approaches, showing their similarities and differences. We expose, in particular, the two main ways of modeling network formation. While the physics/applied mathematics approach is capable of reproducing most observed networks, it does not explain why they emerge. On the contrary, the economics approach is very precise in explaining why networks emerge but does a poor job in matching real-world networks. We also analyze behaviors on networks, which take networks as given and focus on the impact of their structure on individuals’ outcomes. Using a game-theoretical framework, we then compare the results with those obtained in sociology.

Elgar Companion to

Social Capital and Health

Martin Ljunge okt 2018.jpg

Martin Ljunge, IFN, is the author of a chapter, "Trust promotes health: addressing reverse causality by studying children of immigrants", in a new book edited by Sherman Folland and Eric Nauenberg. The cutting edge of research is presented, covering the ever-expanding social capital field.

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