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Issues in the analysis of co-authorship networks
Quality & Quantity, 2011Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships.
Domenico De Stefano +2 more
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Co-authorship network analysis of Iranian researchers on osteoporosis
Archives of Osteoporosis, 2021Our purpose was to investigate the co-authorship network of Iranian researchers in the field of osteoporosis. We used 1328 documents retrieved from databases of PubMed, Scopus, and Web of Science in the analysis. The network had 183 authors in 13 clusters, low cohesion, and slow information flow between its members.This study aims to investigate the ...
Kazem Khalagi +10 more
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Central Author Mining from Co-authorship Network
2013 Sixth International Symposium on Computational Intelligence and Design, 2013Most researches on co-authorship network analyze the author's information globally according to the overall network topology structure, instead of analyzing the author's local network. Therefore, this paper presents a community mining algorithm and divides big co-authorship network into small communities, in which entities' relationship is closer. Then
null Tao Peng +4 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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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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Innovation performance of university co-authorship network
2012 International Conference on Information Management, Innovation Management and Industrial Engineering, 2012University involved co-authorship network are increasingly important for knowledge creation and innovation. The performance of co-authorship network may impact significantly on the future development of those participants and fields concerned. However, a useful framework for evaluating the innovation performance of university co-authorship network has ...
Li Li, Xuezhu Gao
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Analysing Scientific Networks Through Co-Authorship
2006Co-authorship is one of the most tangible and well documented forms of scientific collaboration. Almost every aspect of scientific collaboration networks can be reliably tracked by analysing co-authorship networks by bibliometric methods. In the present study, scientific collaboration is considered both at individual and national levels, with special ...
Wolfgang Glänzel, András Schubert
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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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Tourism Research Co-authorship Networks in China
Journal of China Tourism Research, 2015The primary objective of this study is to explore the patterns of collaborations in the tourism research community in China. The study reveals that co-authorship is fast-growing over the past 10 years. Using a common binary undirectional network model, this paper explores some network characteristics of the tourism research co-authorship network in ...
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Weighted Co-authorship Network Based on Forgetting
2011In this paper we focus on the analysis of weighted networks and their properties. We describe a new way to weigh network vertices and edges based on the Forgetting curve. We denote the weight as a stability changing gradually over time. Based on the stability, we propose new measures. For our experiments we have selected the DBLP database, therefore we
Milos Kudelka +3 more
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