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The underlying case demonstrates how Co-Publishing structures of certain fields were mapped and resource allocation was optimized by means of Social Network Analysis. The case further shows how Co-Publishing data was utilized and how it produced benefits when merged with other data, for instance on journal/ institutional interlock (editors) to accomplish tasks of wider strategic scope.
The case offers insights how tool and packages by FAS.research can be used to identify key actors (key opinion leader, key decision maker), key connections and representatives of opposing traits (bottom up cluster analysis) in a certain scholarly field or across scholarly fields. The more, core networks of reviewers, editors, authors, topics or journals can be analyzed and structures of historically grown trust, potential topics and authors of tomorrow can be revealed.
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