Clustering in communication networks with di¤erent-minded participants

Résumé

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 e¢ cient.

Mots-clés

Codes JEL

Référence

Thibault Laurent et Elena Panova, « Clustering in communication networks with di¤erent-minded participants », TSE Working Paper, n° 20-1147, septembre 2020, révision août 2022.