How many X's do you know'' surveys - Columbia University

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Overview Social and political polarization Background: how many people do you know? Learning from “How many X’s do you know” surveys Next 3 models Fitting our model Results: how many people do you know? Results: group sizes and overdispersions Confidence building and model extensions Regression of log(gregariousness): as a graph Coefficient Estimate −0.2 −0.1 0 0.1 0.2 female nonwhite age < 30 age > 65 married college educated employed income < $20,000 income > $80,000 Gelman, DiPrete, Salganik, Teitler, Zheng Studying polarization using surveys
Overview Social and political polarization Background: how many people do you know? Learning from “How many X’s do you know” surveys Next 3 models Fitting our model Results: how many people do you know? Results: group sizes and overdispersions Confidence building and model extensions What have we learned about social networks ◮ Network size ◮ On average, people know about 750 people ◮ Distribution is similar for men and women ◮ Overdispersion ◮ Names are roughly uniformly distributed ◮ Some other groups show more structure ◮ Potential for regression models (with geographic and social predictors) Gelman, DiPrete, Salganik, Teitler, Zheng Studying polarization using surveys
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How many X's do you know'' surveys - Columbia University

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