A new study of using temporality and weights to improve similarity measures for link prediction of social networks
Link prediction is the problem of inferring future interactions among existing network members based on available knowledge. Computing similarity between a node pair is a known solution for link prediction. This article proposes some new similarity measures. Some of them use nodes’ recency of activi...
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Veröffentlicht in: | Journal of intelligent & fuzzy systems 2018-01, Vol.34 (4), p.2667-2678 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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