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Stability of similarity measurements for bipartite networks

Similarity is a fundamental measure in network analyses and machine learning algorithms, with wide applications ranging from personalized recommendation to socio-economic dynamics. We argue that an effective similarity measurement should guarantee the stability even under some information loss. With...

詳細記述

保存先:
書誌詳細
出版年:Sci Rep
主要な著者: Liu, Jian-Guo, Hou, Lei, Pan, Xue, Guo, Qiang, Zhou, Tao
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4698667/
https://ncbi.nlm.nih.gov/pubmed/26725688
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep18653
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