5 research outputs found
On Fractional Approach to Analysis of Linked Networks
In this paper, we present the outer product decomposition of a product of
compatible linked networks. It provides a foundation for the fractional
approach in network analysis. We discuss the standard and Newman's
normalization of networks. We propose some alternatives for fractional
bibliographic coupling measures
First-mover advantage explains gender disparities in physics citations
Mounting evidence suggests that publications and citations of scholars in the
STEM fields (Science, Technology, Engineering and Mathematics) suffer from
gender biases. In this paper, we study the physics community, a core STEM field
in which women are still largely underrepresented and where these gender
disparities persist. To reveal such inequalities, we compare the citations
received by papers led by men and women that cover the same topics in a
comparable way. To do that, we devise a robust statistical measure of
similarity between publications that enables us to detect pairs of similar
papers. Our findings indicate that although papers written by women tend to
have lower visibility in the citation network, pairs of similar papers written
by men and women receive comparable attention when corrected for the time of
publication. These analyses suggest that gender disparity is closely related to
the first-mover and cumulative advantage that men have in physics, and is not
an intentional act of discrimination towards women.Comment: 21 pages, 8 tables, 10 figure
Letter to the Editor: Comments on the paper of Batageljāon fractional approach to analysis of linked networks
We examine the role of count conservation when derived network matrices are obtained from linked network matrices using an outer product decomposition. It is seen that a full counting operation conserves the count of pathways between nodal variables while a fractional counting operation conserves the count of the nodal variable. We use the cases of co-referencing (bibliographic coupling) and co-citation with a simple citation network to illustrate the ideas