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Influence of network-based structural and power diversity on research performance

Alireza Abbasi, Mahdi Jalili and Abolghasem Sadeghi-Niaraki ()
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Alireza Abbasi: UNSW Australia
Mahdi Jalili: RMIT University
Abolghasem Sadeghi-Niaraki: K.N. Toosi University of Technology

Scientometrics, 2018, vol. 117, issue 1, 579-590

Abstract: Abstract With an increase in studies of actors’ collaborative activities on their performance very few have examined the role of the structural influence of actors on their cohorts’ performance. In this study, we argue that the collaborative process involves social influence and social capital embedded within relationships and network structures amongst direct partner. We examine whether such influence is directly associated with an actor’s productivity and performance. In particular, we aim to understand how structural position of an actor’s cohorts and their structural and power diversity in a network influence the productivity and performance. Network-based centrality measures are used to evaluate the structural position. To investigate how partners of an actor in a collaboration network can influence their productivity and/or performance, we evaluate their structural diversity in the network by measuring the variance of their centrality measures. We evaluate if the variance of centrality measures of partners of a scholar influence their productivity or performance.

Keywords: Network science; Co-authorship network; Big data; Social influence; Research performance (search for similar items in EconPapers)
Date: 2018
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