Estimating social network size using overdispersed Poisson regression model with covariates
نویسندگان
چکیده
The study of networks, sets of objects connected by relationship, is an important area in sociology. It helps to understand the causes and consequences of the structure or relationships in large groups of people. Recently, Zheng et al (2006) used a multilevel overdispersed Poisson regression model to estimate the variation of propensity to form ties to people in some groups (e.g. males in prison, the homeless). This paper extends this model by incorporating covariates to explain the number of acquaintances. This gives more precise estimates of the variation of propensity. Some
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