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原文連結
論文資訊
- 類型：已發表論文
- 日期：2012
摘要
We examine how the speed of learning and best-response processes depends on homophily: the tendency of 智能體s to associate disproportionately with those having similar traits. When 智能體s' beliefs or behaviors are developed by averaging what they see among their neighbors, then convergence to a consensus is slowed by the presence of homophily but is not influenced by 網絡 density (in contrast to other 網絡 processes that depend on shortest paths). In deriving these results, we propose a new, general measure of homophily based on the relative frequencies of interactions among different groups. An application to communication in a society before a vote shows how the time it takes for the vote to correctly aggregate 資訊 depends on the homophily and the initial 資訊 distribution.
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