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Sunbelt XXXI International Network for Social Network ... - INSNA

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The Structure Of Consensus: Cohesion And Hierarchy In Peer <strong>Network</strong>sGauthier, Gertrude R.<strong>Network</strong>s and CultureCulture, Cohesion, hierarchySUN.AM2This paper presents the effect of density and hierarchy on normative consensus. I present a two‐by‐two typology of social networks characterized by their levelof density and hierarchy (low‐low, low‐high, high‐low, high‐high). I use the ergm package to simulate networks that characterize the four cells with empiricallyrealistic values. I measure the diffusion potential of the simulated networks to make hypotheses about the level of normative consensus that would be reachedin an actual network with the same structural features. Finally I test these hypotheses on adolescent networks from the AdHealth dataset that most closelymatch the structural features of the simulated ones.Three‐stage Enabled Self‐organization Of Interorganizational <strong>Network</strong>s: The Case Of Td‐scdma Standard‐setting AllianceTan, Justin ; Wang, LiangInnovation, Diffusion, and the Adoption of Technology<strong>Network</strong> evolutionTHURS.PM2This paper examines how self‐organization co‐exists with and gradually replaces authority intervention as the driving <strong>for</strong>ce behind interorganizational networkevolution, eventually trans<strong>for</strong>ming an engineered network into an emergent process. Mixed methods are employed to triangulate qualitative and quantitativedata from interviews, field studies, and government/industry archives. A longitudinal study of the standardization process of TD‐SCDMA technology revealsthat an engineered‐emergent transition is possible when the triggering entity adopts enabling leadership. We close by outlining a set of propositions onnetwork structure at both the macro‐ and micro levels, and suggesting directions <strong>for</strong> future research.

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