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

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

Journal of Data and Information Science
Volume 1 (2016): Issue 3 (August 2016)
By: Raf Guns  
Open Access
|Sep 2017

Authors

Raf Guns

raf.guns@uantwerpen.be

Centre for R&D Monitoring (ECOOM), University of Antwerp, Antwerp, Belgium
DOI: https://doi.org/10.20309/jdis.201620 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 59 - 78
Submitted on: May 17, 2016
Accepted on: Jun 26, 2016
Published on: Sep 1, 2017
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Network evolution,
Link prediction,
Weighted networks,
Bipartite networks,
Two-mode networks
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2017 Raf Guns, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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