Predictive Characteristics of Co-authorship Networks: Comparing the Unweighted, Weighted, and Bipartite Cases

Predictive Characteristics of Co-authorship Networks: Comparing the Unweighted, Weighted, and Bipartite Cases

Purpose: This study aims to answer the question to what extent different types of networks can be used to predict future co-authorship among authors. Design/methodology/approach: We compare three types of networks: unweighted networks, in which a link represents a past collaboration; weighted netwo...

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Bibliographic Details
Main Author: Raf Guns
Format: Article
Language:English
Published: Chinese Academy of Sciences 2016-09-01
Series:Journal of Data and Information Science
Subjects:
Network evolution
Link prediction
Weighted networks
Bipartite networks
Two-mode networks
Online Access:http://www.jdis.org/CN/html/Article8619.htm

Internet

http://www.jdis.org/CN/html/Article8619.htm

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