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Co-authorship networks in electronic markets research
Electronic Markets, 2011This article examines co-authorship networks of researchers publishing in Electronic Markets—The International Journal of Networked Business (EM). The authors visualize the co-authorship network and provide descriptive statistics regarding the degree to which researchers are embedded in the co-authorship network.
Fischbach, Kai +2 more
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Scientific Networks and Co-authorship [PDF]
Using a database of all published articles in economic journals over the last 30 years, we investigate the determinants of scientific co-authorship. We find that, controlling for pair-wise fixed effects and author productivity, a new collaboration emerges faster if the two authors are more closely connected, either directly or indirectly, through ...
Marcel Fafchamps, Marco J. van der Leij
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Community mining in co-authorship network
International Conference on Information Communication and Embedded Systems (ICICES2014), 2014Community is formed by individuals such that those within a group interact with each other more frequently than with those outside the group. Community mining or detection involves discovering groups in a network where an individual's group memberships are not explicitly given. Much of the research on detecting communities in co-authorship networks has
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Dynamic Scientific Co-Authorship Networks
2011Scientific collaboration networks have been studied systematically since 1960 by scholars belonging to various disciplinary backgrounds. As a result, the complex phenomenon of scientific collaboration networks has been investigated within different approaches.
Franc Mali +3 more
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The methodological status of co-authorship networks [PDF]
A powerful strategy within the study of collaboration in science is to posit that co-authorship patterns represent social networks. It is prerequisite to an application of Social Network Analysis (SNA) to define the network entities. A network analysis of the inter-institutional collaboration in COLLNET on the basis of co-authorships was conducted. The
Jahn, Najko +2 more
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Analysis of Significance and Evolution of Co-authorship Networks
2016In co-authorship networks analysis, we may find many interesting tasks. The goals of networks analysis are: studying network structure, detecting communities and their evolution over time, identifying significant authors and relations, and many others.
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Methods and Models for Co-Authorship Networks
Scientific collaboration, recognized as a crucial driver of research progress and innovation, has increased significantly across all academic disciplines. This trend is further reinforced by government policies at both national and international levels, which actively promote collaborative research initiatives.Amin Gino Fabbrucci Barbagli +2 more
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Authorship Structures and Collaboration Networks in Tourism Journals
Journal of Hospitality and Tourism Education, 2021Mehmet Ali Köseoglu, Brian King
exaly
The Evolution of the Peridynamics Co-Authorship Network
Journal of Peridynamics and Nonlocal Modeling, 2022Biraj Dahal +2 more
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