In this article, we focus on the analysis of individual decision-making for the formation of social networks, using experimentally generated data. We analyze the determinants of the individual demand for links under the assumption of agents’ static expectations and identify patterns of behavior that correspond to three specific objectives: players propose links so as to maximize expected profits (myopic best response strategy); players attempt to establish the largest number of direct links (reciprocator strategy); and players maximize expected profits per direct link (opportunistic strategy). These strategies explain approximately 74% of the observed choices. We demonstrate that they are deliberately adopted and, by means of a finite mixture model, well identified and separated in our sample.

Behavioral patterns in social networks / Conte, A.; Di Cagno, Daniela Teresa; Sciubba, E.. - In: ECONOMIC INQUIRY. - ISSN 0095-2583. - 53:2(2015), pp. 1331-1349. [10.1111/ecin.12191]

Behavioral patterns in social networks

DI CAGNO, DANIELA TERESA;
2015

Abstract

In this article, we focus on the analysis of individual decision-making for the formation of social networks, using experimentally generated data. We analyze the determinants of the individual demand for links under the assumption of agents’ static expectations and identify patterns of behavior that correspond to three specific objectives: players propose links so as to maximize expected profits (myopic best response strategy); players attempt to establish the largest number of direct links (reciprocator strategy); and players maximize expected profits per direct link (opportunistic strategy). These strategies explain approximately 74% of the observed choices. We demonstrate that they are deliberately adopted and, by means of a finite mixture model, well identified and separated in our sample.
2015
networks; experiments
Behavioral patterns in social networks / Conte, A.; Di Cagno, Daniela Teresa; Sciubba, E.. - In: ECONOMIC INQUIRY. - ISSN 0095-2583. - 53:2(2015), pp. 1331-1349. [10.1111/ecin.12191]
File in questo prodotto:
File Dimensione Formato  
Di Cagno 2014-2015.pdf

Solo gestori archivio

Tipologia: Versione dell'editore
Licenza: DRM (Digital rights management) non definiti
Dimensione 1.04 MB
Formato Adobe PDF
1.04 MB Adobe PDF   Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11385/134592
Citazioni
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 4
social impact