Mapping the global network of fisheries science collaboration. Issue 5 (10th June 2019)

• Record Type: Journal Article
• Authors: Syed, Shaheen; ní Aodha, Lia; Scougal, Callum; Spruit, Marco
• Is Part Of: Fish and fisheries. Volume 20:Issue 5(2019)
• Page Start: 830
• Page End: 856
• Publication Date: 2019-06-10
• Subjects: communities -- fisheries science -- machine learning -- social network analysis -- sociology of science -- topic modelling; Fisheries -- Periodicals; Fishes -- Periodicals; 639.2
• DOI: 10.1111/faf.12379
• Languages: English
• ISSNs: 1467-2960

Abstract

Abstract: As socio‐environmental problems have proliferated over the past decades, one narrative which has captured the attention of policymakers and scientists has been the need for collaborative research that spans traditional boundaries. Collaboration, it is argued, is imperative for solving these problems. Understanding how collaboration is occurring in practice is important, however, and may help explain the idea space across a field. In an effort to make sense of the shape of fisheries science, here we construct a co‐authorship network of the field, from a data set comprising 73, 240 scientific articles, drawn from 50 journals and published between 2000 and 2017. Using a combination of social network analysis and machine learning, the work first maps the global structure of scientific collaboration amongst fisheries scientists at the author, country and institutional levels. Second, it uncovers the hidden subgroups—here country clusters and communities of authors—within the network, detailing also the topical focus, publication outlets and relative impact of the largest fisheries science communities. We find that whilst the fisheries science network is becoming more geographically extensive, it is simultaneously becoming more intensive. The uncovered network exhibits characteristics suggestive of a thin style of collaboration, and groupings that are more regional than they are global. Although likely shaped by an array of overlapping micro‐ and macro‐level factors, the analysis reveals a number of political–economic patterns that merit reflection by both fisheries scientists and policymakers.