Authors:Liying Yang, Steven Morris, and Elizabeth Barden
The paper demonstrates visualization technique that show the collaboration structure of institutions in the specialty and
the researchers that function as weak ties among them. Institution names were extracted from the collection of papers and
disambiguated using the Derwent Analytics (v1.2) software product. Institutions were clustered into collaboration groups based
on their co-occurrence in papers. A crossmap of clustered institutions against research fronts, which were derived using bibliographic
coupling analysis, shows the research fronts that specific institutions participate in, their collaborator institutions and
the research fronts in which those collaborations occurred. A crossmap of institutions to author teams, derived from co-authorship
analysis, reveals research teams in the specialty and their general institutional affiliation, and further identifies the
researchers that function as weak ties and the institutions that they link. The case study reveals that the techniques introduced
in this paper can be used to extract a large amount of useful information about institutions participating in a research specialty.
Authors:Qiuju Zhou, Ronald Rousseau, Liying Yang, Ting Yue, and Guoliang Yang
Building on the ideas of Stirling (J R Soc Interface, 4(15), 707–719, ) and Rafols and Meyer (Scientometrics, 82(2), 263–287, ), we borrow models of genetic distance based on gene diversity and propose a general conceptual framework to investigate the diversity within and among systems and the similarity between systems. This framework can be used to reveal the relationship of systems weighted by the similarity of the corresponding categories. Application of the framework to scientometrics is explored to evaluate the balance of national disciplinary structures, and the homogeneity of disciplinary structures between countries.