2012 | OriginalPaper | Buchkapitel
Link Prediction Based on Weighted Networks
verfasst von : Zeyao Yang, Damou Fu, Yutian Tang, Yongbo Zhang, Yunsheng Hao, Chen Gui, Xu Ji, Xin Yue
Erschienen in: AsiaSim 2012
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Link Prediction can make networks more complete. However, because of restraint of algorithm, traditional link-prediction measures cannot make full use of weight information to analyze the network. To solve this problem, this paper proposes a new method based on weighted networks, and the new method synthesizes and improves existent methods so that the predictor could make use of weight information in the network. We apply the new method to three real networks (astro-ph, cond-mat and hep-th). The result of experiment demonstrates that new method is more precise, and this method provides people with a new idea about how to better analyze weighted networks.