Confirming Information Flows in Networks

Pascal Billand, Christophe Bravard, Jurjen Kamphorst and Sudipta Sarangi

MPRA Paper from University Library of Munich, Germany

Abstract: Social networks, be it on the internet or in real life, facilitate information flows. We model this by giving agents incentives to link with others and receive information through those links. We consider networks where agents have an incentive to confirm the information they receive from others. Our paper analyzes the social networks that are formed. We first study the existence of Nash equilibria and then characterize the set of strict Nash networks. Next, we characterize the set of strictly efficient networks and discuss the relationship between strictly efficient networks and strict Nash networks. Finally, we check the robustness of our results by allowing for heterogeneity among agents, possibility of bilateral deviations of agents, and decay in the network.

Keywords: connections model; confirmation; two-way flow models. (search for similar items in EconPapers)
JEL-codes: C72 D85 (search for similar items in EconPapers)
Date: 2013-04
New Economics Papers: this item is included in nep-gth, nep-mic, nep-net and nep-soc
References: Add references at CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/45835/1/MPRA_paper_45835.pdf original version (application/pdf)

Related works:
Working Paper: Confirming information flows in networks (2013)
Working Paper: Confirming Information flows in Networks (2013)
Working Paper: Confirming Information Flows in Networks (2012)
Working Paper: Confirming Information Flows in Networks (2012)
Working Paper: Confirming information flows in networks (2011)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:45835

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().