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An experimental study on the effects of communication, credibility, and clustering in network games

Gary Charness, Francesco Feri, Miguel Meléndez-Jiménez () and Matthias Sutter

No 7659, CESifo Working Paper Series from CESifo

Abstract: The effectiveness of social interaction depends strongly on an ability to coordinate actions efficiently. In large networks, such coordination may be very difficult to achieve and may depend on the communication technology and the network structure. We examine how pre-play communication and clustering within networks affect coordination in a challenging experimental game on eight-person networks. Free-form chat is enormously effective in achieving the non-equilibrium efficient outcome in our game, but restricted communication (where subjects can only indicate their intended action) is almost entirely ineffective. We can rationalize this result with a novel model about the credibility of cheap-talk messages. This credibility is much larger with freeform message communication than with restricted communication. We are the first to model this credibility and show, both theoretically and experimentally, an interaction effect of network structure and communication technologies. We also provide a model of message diffusion, which indeed predicts that diffusion will be more rapid without clustering and is consistent with our data.

Keywords: networks; clustering; communication; credibility; cheap talk; experiment (search for similar items in EconPapers)
JEL-codes: C71 C91 D03 D85 (search for similar items in EconPapers)
Date: 2019
New Economics Papers: this item is included in nep-cbe, nep-cdm, nep-exp, nep-gth, nep-ict and nep-ure
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Related works:
Journal Article: An Experimental Study on the Effects of Communication, Credibility, and Clustering in Network Games (2023) Downloads
Working Paper: An Experimental Study on the Effects of Communication, Credibility, and Clustering in Network Games (2019) Downloads
Working Paper: An Experimental Study on the Effects of Communication, Credibility, and Clustering in Network Games (2019) Downloads
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