计算机应用研究2017，Vol.34Issue(7)：2010-2015,6.DOI:10.3969/j.issn.1001-3695.2017.07.020
基于主题划分的移动社交网络关键位置发现研究
Research on topic-based key node discovery in mobile social network
摘要
Abstract
Current research on key location discovery is mostly focused on the topology of the entire network,ignoring the social attributes.Therefore,the calculations can not meet the current demand.This paper introduced the concept of the topic and described the different social attributes of the nodes.The entire system was divided into two modules: offline processing and on-line query processing.The offline module was focused on building a topic-based network,computing the maximum path,the maximum migration probability,and the key influence upper bound calculation.Online module used the query containing topics,to make the processing more in line with actual demand.Experimental results show that the system can discover the key node set within an acceptable time frame and ensure precision and recall rate better than traditional algorithm.关键词
位置服务/主题划分/关键节点/在线发现Key words
location-based service/topic distribution/key location nodes/online discovery分类
信息技术与安全科学引用本文复制引用
陈功,卢菁,张仲楠..基于主题划分的移动社交网络关键位置发现研究[J].计算机应用研究,2017,34(7):2010-2015,6.基金项目
福建省引导性项目(2016H0035) （2016H0035）
上海理工大学科技发展基金资助项目 （）
