Homophily within and across groups.

ABSTRACT: Homophily-the tendency of individuals to interact with similar others-shapes how networks form and function. Yet existing approaches typically collapse homophily to a single scale, either one parameter for the whole network or one per community, thereby detaching it from other structural features. Here, we introduce a maximum-entropy random graph model that moves beyond these limits, capturing homophily across all social scales in the network, with parameters for each group size. The framework decomposes homophily into within- and across-group contributions, recovering the stochastic block model as a special case. As an exponential-family model, it fits empirical data and enables inference of group-level variation of homophily that aggregate metrics miss. The group-dependence of homophily

SUBMITTER: K Rizi A 

PROVIDER: S-EPMC12727873 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature