We invite authors to submit papers for the special issue “Scientific Networks” in the journal Network Science

We invite authors to participate in a Special issue of Network Science journal (Q2), which was initiated by the ANR-Lab as a result of the International Workshop on scientific networks (Moscow, July 2019). Authors interested in contributing to the special issue should send an extended abstract of 2-5 pages by January, 30. 

The study of scientific networks is witnessing a growing interest as evidenced in various recent forums, including the International Workshop on scientific networks in Moscow, Russia (15-21 July 2019) and the special session on scientific networks at the Seventh International Workshop on Social Network Analysis at the University of Salerno, Italy (28-31 October 2019). We invite authors to submit papers for the special issue “Scientific Networks” in the Network Science journal. In response to input from the community, the editorial board of Network Science has decided to revise the deadline for submitting extended abstracts. Authors interested in contributing to the special issue should send an extended abstract of 2-5 pages to Dmitry Zaytsev (zaytsevdi2@gmail.com) by January 30, 2020. 

We welcome contributions that:

• provide theoretical and empirical insights about the assembly, collaboration, and outcomes of scientific networks (e.g., co-authorship, citation, co-citation, and semantic networks);
• propose methodological approaches to study the structure, dynamics, and content of different kinds of scientific networks;
• propose a methodology to evaluate the social and intellectual impact of scientific networks.

Given the limited attention paid to scientific networks, this call for papers is purposefully broad. Its goal is to develop new methodological, empirical and/or theoretical insights by building bridges among scholars who use relational approaches to study scientific networks across national, disciplinary, and other diverse contexts. Papers submitted to the special issue are expected to chart future research by addressing various factors that shape scientific networks across time and space.