Laurent, Thibault and Panova, Elena (2020) Clustering in communication networks with different-minded participants. TSE Working Paper, n. 20-1147, Toulouse

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Abstract

Various social networks share prominent features: clustering, rightskewed degree distribution, segregation into densely connected com-
munities. We build network formation game rationalizing these features with signal-extraction benet by network participants. The players build network to exchange their private signals on the relevant state. We show that a family of Nash equilibrium networks possesses the above-mentioned prominent features of real networks. We show, furthermore, that networks with these features are efficient.

Item Type: Monograph (Working Paper)
Language: English
Date: September 2020
Place of Publication: Toulouse
Uncontrolled Keywords: network formation, endogenous information benet, clustering, hubs, differentiated priors, Bayesian learning in networks.
JEL Classification: C72 - Noncooperative Games
D82 - Asymmetric and Private Information
D85 - Network Formation and Analysis - Theory
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse 1 Capitole
Site: UT1
Date Deposited: 29 Sep 2020 08:27
Last Modified: 12 Sep 2022 13:36
OAI Identifier: oai:tse-fr.eu:124728
URI: https://publications.ut-capitole.fr/id/eprint/41805
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