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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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Analysis of Co-authorship Networks
2018Scientific collaboration can be quantitatively studied by analyzing the structure and evolution of co-authorship networks. In this chapter we present a comprehensive overview of research studies focused on empirical analysis of co-authorship networks.
Miloš Savić +2 more
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Social and swarm aspects of co-authorship network
Logic Journal of IGPL, 2011The analysis of social networks is concentrated mainly on uncovering hidden relations and properties of network nodes (vertices). Most of the current approaches are focused on different network types and different network coefficients. This article introduces a social network analysis based on the so-called Forgetting Curve and Swarm Intelligence ...
Milos Kudelka +5 more
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Scientific Networks and Co-authorship [PDF]
, 2006 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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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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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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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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The methodological status of co-authorship networks [PDF]
, 2008 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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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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