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On the relationship between set-based and network-based measures of gender homophily in scholarly publications

Elena A. Erosheva and Yu-Hsuan S. Wang

October 2016 CSSS Working Paper #157



There is an increased interest in the scientifi c community in the problem of measuring gender homophily in co-authorship on scholarly publications (Eisen, 2016). For a given set of publications and co-authorships, we assume that author identities have not been disambiguated in that we do not know when one person is an author on more than one paper. In this case, one way to think about measuring gender homophily is to consider all observed coauthorship pairs and obtain a set-based gender homophily coefficient (e.g., Bergstrom et al.,2016). Another way is to consider papers as observed disjoint networks of co-authors and use a network-based assortativity coefficient (e.g., Newman, 2003). In this note, we review both metrics and show that the gender homophily set-based index is equivalent to the gender assortativity network-based coefficient with properly weighted edges.

Keywords: homophily; gender bias; social networks; assortativity; coauthorship