01450nas a2200157   4500008004100000020001400041245007600055210006900131260000900200300001000209520096100219100002101180700002301201700001901224856004901243       2021                        eng d  a1941-129400aConformity: a Path-Aware Homophily measure for Node-Attributed Networks0 aConformity a PathAware Homophily measure for NodeAttributed Netw  c2021  a1 - 13 aUnveil 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.1 aRossetti, Giulio1 aCitraro, Salvatore1 aMilli, Letizia  uhttps://ieeexplore.ieee.org/document/9321348