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) |
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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 |