摘要
给出了面向多异构社交网络(Multi⁃heterogeneous social network,MHSN)的全局表示模型,建立了MHSN用户空间及内容空间的关联模型,为基于MHSN的后续研究提供借鉴。以MHSN的地域突发事件检测为例,论述了基于内容空间的MHSN的融合方法,并以微博和贴吧进行了数据采集和突发事件检测的实验分析;以MHSN的用户兴趣挖掘为例,论述了基于用户空间的MHSN的融合方法,并以微博和贴吧进行了数据采集和用户兴趣挖掘的实验分析。结果表明,本文所提的面向MHSN的突发事件融合检测及用户兴趣融合挖掘方法可以有效地改善突发事件检测和用户兴趣挖掘的效果。
The global representation model for multi-heterogeneous social networks(MHSN)is presented,and the user space and content space association models of MHSN are established,which can be used as a reference for the follow-up research based on MHSN.Furthermore,taking the detection of localized emergencies in MHSN as an example,this paper discusses the integration method of MHSN based on content space,and conducts experimental analysis of data collection and emergency detection in Weibo and Tieba.Taking the user interest mining of MHSN as an example,this paper discusses the integration method of MHSN based on user space,and conducts experimental analysis on data collection and user interest mining of Weibo and Tieba.The results show that the proposed methods of emergency integration detection and user interest integration mining for MHSN can effectively improve the effect of emergency detection and user interest mining.
作者
王艺霖
仲兆满
樊继冬
管燕
WANG Yilin;ZHONG Zhaoman;FAN Jidong;GUAN Yan(School of Marine Science and Fisheries,Jiangsu Ocean University,Lianyungang,222005,China;School of Computer Engineering,Jiangsu Ocean University,Lianyungang,222005,China;Jiangsu Academy of Marine Resources Development,Lianyungang,222005,China)
出处
《数据采集与处理》
CSCD
北大核心
2020年第6期1134-1146,共13页
Journal of Data Acquisition and Processing
基金
国家自然科学基金(61403156)资助项目
江苏省高校自然科学研究基金(19KJB52004)资助项目
连云港高新区科技计划(ZD201912)资助项目。
关键词
多异构社交网络
内容空间关联
用户空间关联
突发事件融合检测
用户兴趣融合挖掘
multi-heterogeneous social network
content space aligning
user space aligning
emergency integration detection
user interest integration mining