计算机工程与应用Issue(15)：141-146,6.DOI:10.3778/j.issn.1002-8331.1301-0374
有限节点驱动的微博社会网络话题推荐方法
Topic recommendation method with finite driving user nodes in micro-blogging
摘要
Abstract
Aiming at the topic recommendation problem in online social networks, this paper focuses on how to find a set of driving nodes which can make the information diffusion broadly, and proposes a new recommendation method that can obtain an approximately optimal set of driving nodes. This method includes three steps:finding the candidate set of driving nodes which have the greatest influence with an extended PageRank algorithm; calculating the breadth of topic diffusion for each driving node in candidate set;and calculating the breadth of topic diffusion for a number of joint driving nodes and finding an approxi-mately optimal set of driving nodes. Experimental results show that the achieved approximately optimal driving node set leads to larger breadth of topic diffusion.关键词
在线社会网络/信息传播/话题推荐/节点影响力/动态贝叶斯网络Key words
online social network/information propagation/topic recommendation/user influence/dynamic Bayesian network分类
信息技术与安全科学引用本文复制引用
吴陈鹤,杜友田,苏畅..有限节点驱动的微博社会网络话题推荐方法[J].计算机工程与应用,2013,(15):141-146,6.基金项目
国家自然科学基金（No.60905018）；“十二五”国家科技支撑计划重点课题（No.2011BAK08B02）。 （）
