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Science and technology policy academics and evaluators use co-authorship as a proxy for research collaboration despite knowing better. Anecdotally we understand that an individual might be listed as an author on a particular publication for numerous reasons other than research collaboration.
Branco Ponomariov, Craig Boardman
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Economics of co-authorship [PDF]
Abstract Starting with the literature on the rising incidence of co-authorship in economics, this paper presents a theoretical model to analyze choices of co-authorship based on the assumption that authors are motivated to optimize the returns to publications.
Bruno, Bruno
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Co-authorship networks: a review of the literature
Aslib Journal of Information Management, 2015Purpose– The purpose of this paper is to attempt to provide a review of the growing literature on co-authorship networks and the research gaps that may be investigated for future studies in this field.Design/methodology/approach– The existing literature on co-authorship networks was identified, evaluated and interpreted.
Sameer Kumar
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Bibliometrics and co-authorship
This chapter reviews co-authorship in relation to bibliometrics studies. It presents what co-authorship means in bibliometric studies, how co-authoring relates to research productivity, and how the methodological decision effects whether co-authoring increases productivity.
Drongstrup, Dorte
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Predicting Collaborations in Co-authorship Network
2019 14th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 2019In this paper, we study the problem of predicting collaborations in co-authorship network. We formulated our task in terms of link prediction problem on weighted co-authorship network, in which authors play the role of nodes, and weighted edges connecting two authors are formed by storing either a number or quality metric of research papers co-authored
Ilya Makarov, Olga Gerasimova
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Link prediction in co-authorship networks based on hybrid content similarity metric
Link prediction in online social networks is used to determine new interactions among its members which are likely to occur in the future. Link prediction in the coauthorship network has been regarded as one of the main targets in link prediction ...
P. Chuan +5 more
semanticscholar +2 more sources
Journal of information science, 2021
Co-authorship networks consist of nodes and numerous links indicating scientific collaboration of researchers. These networks could be studied through social networks analysis and data mining techniques.
Alireza Isfandyari-Moghaddam +4 more
semanticscholar +1 more source
Co-authorship networks consist of nodes and numerous links indicating scientific collaboration of researchers. These networks could be studied through social networks analysis and data mining techniques.
Alireza Isfandyari-Moghaddam +4 more
semanticscholar +1 more source
On co-authorship for author disambiguation
Information Processing & Management, 2009Author name disambiguation deals with clustering the same-name authors into different individuals. To attack the problem, many studies have employed a variety of disambiguation features such as coauthors, titles of papers/publications, topics of articles, emails/affiliations, etc. Among these, co-authorship is the most easily accessible and influential,
In-Su Kang +6 more
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