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Confirming Information Flows in Networks

Authors: Billand, Pascal; Bravard, Christophe; Kamphorst, Jurjen J.A.; Sarangi, Sudipta;

Confirming Information Flows in Networks

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. In many networks agents will value confirmation of the information they receive from others. Our paper analyzes the impact such a need for confirmation has on the social networks which 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.

Countries
Germany, France, France
Keywords

C72 - Noncooperative Games, Informationsverbreitung, ddc:330, R&D COLLABORATION;NETWORK FORMATION;MULTI-MARKET OLIGOPOLIES, Network Formation, Nash-Gleichgewicht, Soziales Netzwerk, confirmation, C72, connections model, confirmation, two-way flow models., con rmation, Nichtkooperatives Spiel, connections model, connections model, confirmation, two-way flow models, two-way ow models, [SHS.ECO] Humanities and Social Sciences/Economics and Finance, D85, Noncooperative Games, D85 - Network Formation and Analysis: Theory, two-way flow models, Theorie, jel: jel:D85, jel: jel:C72

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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