Abstract
In this paper, we propose a cooperative game approach to the issue of author ranking in coauthorship networks. We first construct three weighted coauthorship networks from different perspectives and define three cooperative games according to the corresponding coauthorship networks. Then we use the core and the Shapley value as allocation rules for the games. Finally, considering the contribution level of the authors to their papers, we give the weighted Shapley value and a new value as the allocation rules. These allocation rules can be used to rank the authors in coauthorship networks.
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Acknowledgments
This work is supported by the National Natural Science Foundation of China (Grant Nos. 71671140 and 71271171), and sponsored by the Seed Foundation of Innovation and Creation for Graduate Students in Northwestern Polytechnical University (Grant No. Z2017191).
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Wang, G., Xu, G., Li, W. (2017). A Cooperative Game Approach to Author Ranking in Coauthorship Networks. In: Li, DF., Yang, XG., Uetz, M., Xu, GJ. (eds) Game Theory and Applications. China GTA China-Dutch GTA 2016 2016. Communications in Computer and Information Science, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-10-6753-2_16
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DOI: https://doi.org/10.1007/978-981-10-6753-2_16
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