文章基本信息

标题：MCHITS: Monte Carlo based Method for Hyperlink Induced Topic Search on Networks
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作者：Jin, Zhaoyan ; Shi, Dianxi ; Wu, Quanyuan 等
期刊名称：Journal of Networks
印刷版ISSN：1796-2056
出版年度：2013
卷号：8
期号：10
页码：2376-2382
DOI：10.4304/jnw.8.10.2376-2382
语种：English
出版社：Academy Publisher
摘要：Hyperlink Induced Topic Search (HITS) is the most authoritative and most widely used personalized ranking algorithm on networks. The HITS algorithm ranks nodes on networks according to power iteration, and has high complexity of computation. This paper models the HITS algorithm with the Monte Carlo method, and proposes Monte Carlo based algorithms for the HITS computation. Theoretical analysis and experiments show that the Monte Carlo based approximate computing of the HITS ranking reduces computing resources a lot while keeping higher accuracy, and is significantly better than related works
关键词：Social Network;Influence Ranking;Random Walk;Monte Carlo Method