[1]石磊,杜军平,周亦鹏,等.在线社交网络挖掘与搜索技术研究[J].智能系统学报,2016,11(6):777-787.[doi:10.11992/tis.201612007]
SHI Lei,DU Junping,ZHOU Yipeng,et al.A survey on online social network mining and search[J].CAAI Transactions on Intelligent Systems,2016,11(6):777-787.[doi:10.11992/tis.201612007]
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SHI Lei,DU Junping,ZHOU Yipeng,et al.A survey on online social network mining and search[J].CAAI Transactions on Intelligent Systems,2016,11(6):777-787.[doi:10.11992/tis.201612007]
在线社交网络挖掘与搜索技术研究
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
11
期数:
2016年第6期
页码:
777-787
栏目:
综述
出版日期:
2017-01-20
- Title:
- A survey on online social network mining and search
- 分类号:
- TP393
- 摘要:
- 随着在线社交网络的蓬勃发展，传统的数据挖掘的和搜索方法已经不能完全适用于Web 2.0时代的社交网络。社交网络具有社交关系复杂、数据量大、动态更新、数据多模态等特点，给数据挖掘和搜索的研究来了巨大的挑战。因此，研究基于社交网络挖掘和搜索的新方法成为学术界和工业界的一项新任务。文章全面分析了社交网络发展的基本情况和存在的问题，阐述了社交网络结构建模、信息传播机制、社区发现、情感分析、事件监测及社交网络搜索排序技术的主要研究工作，并基于已有研究工作对社交网络挖掘和网络搜索技术进行了分析和展望。
- Abstract:
- With the vigorous development of online social networks, the traditional technologies of data mining and searching cannot solve the problems of social networks in the Web 2.0 era. Social networks, accompanied by complex social relationships, large amounts of data, dynamic updates, multimodal data, etc. have brought great challenge to the study of data mining and searching. Therefore, the research of novel algorithms of social network mining and searching has become a new task in both academia and industry. This paper summarized the basic situation and problems of social networks, and analyzed structural modeling techniques, information transmission mechanisms, community detection, sentiment analysis, event detection and search ranking techniques of social networks. Based on the analysis of previous researches, the prospect of social network data mining and search technologies was forecasted in this paper.
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备注/Memo
收稿日期:2016-12-06。
基金项目:国家自然科学基金重点项目（61532006）；国家自然科学基金重大国际合作项目（61320106006）.
作者简介:石磊,男,1986年生,博士研究生,主要研究方向为人工智能和数据挖掘;杜军平,女,1963年生,教授,博士生导师,博士,中国人工智能学会常务理事,智能服务专业委员会主任,主要研究方向为社交网络分析、数据挖掘、运动图像处理,主持国家"863"、"973"计划项目、国家自然科学基金重点项目、国家自然科学基金重大国际合作项目、北京市自然科学基金重点项目等多项;周亦鹏,男,副教授,博士,主要研究方向为Web挖掘、跨媒体信息检索。
通讯作者:杜军平.E-mail:junpingdu@126.com.
更新日期/Last Update:
1900-01-01