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dc.contributor.authorChoi, Syngjoo-
dc.contributor.authorMoisan, Frédéric-
dc.contributor.authorGoyal, Sanjeev-
dc.date.accessioned2026-05-01T10:01:58Z-
dc.date.available2026-05-01T10:01:58Z-
dc.date.issued2022-04-
dc.identifier.citationChoi, S., Moisan, F., & Goyal, S. (2022). Connectors and influencers. NYUAD Division of Social Science Working Paper, #0077.en
dc.identifier.urihttp://hdl.handle.net/2451/75663-
dc.description.abstractThis paper reports an experiment on costly information purchase and link formation for information gathering. A `star' network with two information con gurations is predicted - a pure influence outcome in which the hub purchases information while all others free ride and a pure connector outcome in which the hub purchases no information and the peripheral players purchase information. The latter exists only for large groups and the former existsregardless of group size. We test these predictions on a new experimental platform with asynchronous activity in continuous time. Our experiments provide strong support for the predictions with evidence on the role of group size and payoff information. In large groups, the pure influencer outcome with excessive information purchase is prevalent when subjects only see their own payoffs, whereas the pure connector outcome becomes common when subjects see everyone's payoffs.en
dc.description.sponsorshipThe paper was supported by the FET-Open Project IBSEN (contract no. 662725), the Keynes Fund and by Creative-Pioneering Researchers Program (Seoul National University), and was performed within the framework of the LABEX CORTEX (ANR-11-LABX-0042) of Universite de Lyon.en
dc.language.isoenen
dc.relation.ispartofseriesNYUAD Division of Social Science Working Papers;#0077-
dc.titleConnectors and influencersen
dc.typeWorking Paperen
Appears in Collections:Social Science Working Papers

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