A novel method for assessing and measuring homophily in networks through second-order statistics.

ABSTRACT: We present a new method for assessing and measuring homophily in networks whose nodes have categorical attributes, namely when the nodes of networks come partitioned into classes (colors). We probe this method in two different classes of networks: (i) protein-protein interaction (PPI) networks, where nodes correspond to proteins, partitioned according to their functional role, and edges represent functional interactions between proteins (ii) Pokec on-line social network, where nodes correspond to users, partitioned according to their age, and edges respresent friendship between users.Similarly to other classical and well consolidated approaches, our method compares the relative edge density of the subgraphs induced by each class with the corresponding expected relative edge density under a

SUBMITTER: Apollonio N 

PROVIDER: S-EPMC9192693 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature