Detecting outlier pairs in complex network based on link structure and semantic relationship
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- 作者：L. Liua ; liulu12@mails.jlu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; W.L. Zuoa ; b ; wanlizuo@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; T. Penga ; b ; tpeng@jlu.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Outlier pair detection ; Complex network ; Link structure ; Semantic relationship ; K-step index
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：1 March 2017
- 年：2017
- 卷：69
- 期：Complete
- 页码：40-49
- 全文大小：1066 K
文摘
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The differences between link and semantics are utilized to detect outlier pairs.
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A k-step index algorithm is proposed to calculate the term weighting.
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Frobenius norm and linear transformation are combined to rank the top-K differences.
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Direct and indirect link relations are both considered in link structure model.