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作 者:赵建东 陆奎 李雪萍 ZHAO Jian-dong,LU Kui,LI Xue-ping (Anhui University of Science and Technology, Huainan 232001, China)
机构地区:安徽理工大学,安徽淮南232001
出 处:《电脑知识与技术》2016年第9期227-229,共3页Computer Knowledge and Technology
摘 要:随着移动终端的普及,手机用户之间的沟通、传播与分享正在构建自组织移动社交网络并逐步渗透到人们日常生活、工作、学习和娱乐中,而移动社交网络也将成为一种全新的连接并融合物理空间和网络空间的真实社会网络模式。随之而来的对日益海量和错综复杂信息的移动网络语义话题的研究也日趋困难。因此,该文以海量的、高阶异构的移动社会网络数据为背景,提出了以语义话题发现、搜索和溯源为目标来探究社交网络及其语义话题的关键技术。With the popularity of mobile, the communication, spread and sharing between mobile phone users are building self-organization mobile social network and gradually permeating into People's Daily life, work, study and entertainment. Mobile social network will also become a new real social network model with connecting and integrating the physical space and cyberspace .Of course the increasing and complex information semantic topic research has become increasingly difficult. Therefore, based on the mass, the high order heterogeneous mobile social network data, This article put forward to found, search, and trace semantic topics to explore social network and the key technologies of semantic topics.
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