Conformity: a Path-Aware Homophily measure for Node-Attributed Networks

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TitleConformity: a Path-Aware Homophily measure for Node-Attributed Networks
Publication TypeJournal Article
Year of Publication2021
AuthorsRossetti, G, Citraro, S, Milli, L
JournalIEEE Intelligent SystemsIEEE Intelligent Systems
Pagination1 - 1
Date Published2021
ISBN Number1941-1294
AbstractUnveil the homophilic/heterophilic behaviors that characterize the wiring patterns of complex networks is an important task in social network analysis, often approached studying the assortative mixing of node attributes. Recent works underlined that a global measure to quantify node homophily necessarily provides a partial, often deceiving, picture of the reality. Moving from such literature, in this work, we propose a novel measure, namely Conformity, designed to overcome such limitation by providing a node-centric quantification of assortative mixing patterns. Differently from the measures proposed so far, Conformity is designed to be path-aware, thus allowing for a more detailed evaluation of the impact that nodes at different degrees of separations have on the homophilic embeddedness of a target. Experimental analysis on synthetic and real data allowed us to observe that Conformity can unveil valuable insights from node-attributed graphs.
Short TitleIEEE Intelligent Systems