Higher School of Economics Co-Authorship Network Study

P. 1–4.

Gerasimova O., Makarov I.

Co-authorship networks represent a graph, in which vertices are authors, and edges represent research papers written in co-authorship. Every paper could generate several edges in such a graph, if a number of coauthors is greater than two. Co-authorship networks play important role in understanding the structure of research collaborations usually resulted in joint research papers. Moreover, when analyzing university ranking and research staff publishing activity, coauthorship network may help identifying both, efficient research communities and also people, who lack proper collaborators while having poor research results. Our paper is devoted to the visualization and interpretation of the former sets using as an example co-authorship network of National Research University Higher School of Economics (HSE), Moscow, Russia, while we also discuss the possible solutions for recommending collaborators for the latter set of researchers with low academic profile. Our paper is a case study for our university, which can be extended to larger co-authorship networks using research indexing services.

Keywords: social network analysis, сети соавторства, Co-authorship networks, Collaboration Understanding

Publication based on the results of: Discovering and Representing Knowledge for Recommender Systems (2019)

In book

Proceedings of 2nd International Conference on Computer Applications & Information Security (ICCAIS)

NY: IEEE, 2019.