A novel state space reduction algorithm for team formation in social networks
Team formation (TF) in social networks exploits graphs (i.e., vertices = experts and edges = skills) to represent a possible collaboration between the experts. These networks lead us towards building cost-effective research teams irrespective of the geolocation of the experts and the size of the dat...
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| 主要な著者: | , , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Public Library of Science
2021
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| 主題: | |
| オンライン･アクセス: | http://umpir.ump.edu.my/id/eprint/33087/1/A%20novel%20state%20space%20reduction%20algorithm%20for%20team%20formation%20in%20social%20networks.pdf http://umpir.ump.edu.my/id/eprint/33087/ https://doi.org/10.1371/journal.pone.0259786 https://doi.org/10.1371/journal.pone.0259786 |
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