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Analysis of Researcher Co-authorship Network

2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, 2015
This work analyzes the co-authorship of science papers published by university teachers, and then constructs are searcher co-authorship network and characterizes the network by some varying quantities: the clustering coefficient, the average degree, diameter, average distance and components.
Jiana Meng, Jun Guo
exaly   +2 more sources

Co-authorship networks: a review of the literature

Aslib Journal of Information Management, 2015
Purpose– 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.
openaire   +1 more source

Evolution of Scale-Freeness in a Co-authorship Network

2013 5th International Conference on Intelligent Networking and Collaborative Systems, 2013
Many natural networks including social networks are scale-free, i.e. the distribution of node degrees in the network is heavy-tailed and follows the power law. In this work we analyze the scale-free properties of selected subnets of a complex co-authorship network induced by significant nodes (authors) and the evolution of these properties in time. The
Pavel Krömer   +3 more
openaire   +1 more source

Social and swarm aspects of co-authorship network

Logic Journal of IGPL, 2011
The 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
openaire   +1 more source

Extraction of Co-authorship Networks

2018
The extraction of a co-authorship network from a set of bibliographic records in which articles and authors are uniquely identified is an easily solvable problem. However, in a vast majority of bibliographic databases authors are identified by their names.
Miloš Savić   +2 more
openaire   +1 more source

Analysis of Co-authorship Networks

2018
Scientific 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
openaire   +1 more source

Co-authorship networks in electronic markets research

Electronic Markets, 2011
This 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
openaire   +2 more sources

Scientific Networks and Co-authorship [PDF]

open access: possible, 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
openaire  

Community mining in co-authorship network

International Conference on Information Communication and Embedded Systems (ICICES2014), 2014
Community 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
openaire   +1 more source

Dynamic Scientific Co-Authorship Networks

2011
Scientific 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
openaire   +1 more source

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