大数据环境下基于SNA的舆情监控研究

发布时间：2017-12-27 20:12

本文关键词：大数据环境下基于SNA的舆情监控研究　出处：《天津工业大学》2017年硕士论文　论文类型：学位论文

【摘要】：网络舆情是社会舆情的一种特殊体现,是舆情在网络中的表现形式。由于互联网、计算机技术快速发展以及网络传播成本低等原因,网络舆情已经不断渗入到人们生活、工作、学习中,对国家政治、经济、文化等方面都产生重大影响。网络信息具有多元化、不真实、传播快、范围广等特点,随着移动终端的普及和计算机技术发展,大量信息涌入互联网平台,人们可以通过跟帖、评论、发表言论等方式表达对事件的看法和情绪,参与热点事件的评论,传播热情愈发高涨。由于网络舆情发散性、传播快、范围广、主观性等特点,新环境下网络舆情监控面临更加残酷的困境,因而针对网络舆情在新环境下的监控更加有研究价值。本文在大数据的背景下,首先阐述舆情的涵义及其特点、舆情传播、社会网络分析法和生命周期理论等理论知识。其次,运用大数据及其相关技术对舆情案例从媒体和微博两方面进行数据挖掘分析,发现两者均影响舆情的发展。然后,利用SNA建立社会舆情网络并开展研究,具体步骤包括:首先,对舆情传播整体网络特征进行分析;其次,再结合生命周期理论量化舆情传播阶段;最后,各阶段分别建立社会网络,开展实例分析;研究表明,舆情传播各阶段特点不同,传播规律也不同。最后,结合舆情案例分析和大数据特点,找出舆情监控问题所在:舆情监控工作管理意识落后,舆情处理不及时,监控技术不成熟,舆论不可控性增大,主流媒体监督机制不完善等;结合大数据特点,从国家、社会和个人三个层面分别提出:改变传统思想,提升监控技术水平,建立完善的舆情监控体系;加强社会媒体的引导与监督;提高网民个人素养,鼓励民众主动参与舆情监控工作等关于新环境下舆情监控的建议。
[Abstract]:Network public opinion is a special manifestation of social public opinion, and it is the form of public opinion in the network. Due to the rapid development of Internet and computer technology and the low cost of network dissemination, Internet public opinion has been continuously infiltrating into people's life, work and study, and has a significant impact on the country's political, economic and cultural aspects. The network information has the characteristics of diversification, not real, spread fast and wide range, along with the development of mobile terminal and the popularization of computer technology, the influx of information through the Internet platform, people can post comments, comments, and other ways to express their views on the event and emotion, participate in hot events comments spread increasingly high enthusiasm. Because of the characteristics of network public opinion divergence, fast dissemination, wide range and subjectivity, under the new environment, Internet public opinion monitoring is facing more brutal difficulties. Therefore, the monitoring of Internet public opinion in the new environment has more research value. In the background of large data, this paper first expounds the meaning and characteristics of public opinion, public opinion dissemination, social network analysis and life cycle theory. Secondly, using large data and related technology to analyze the data mining from two aspects of media and micro-blog, and find that both of them affect the development of public opinion. Then, using SNA to establish social network public opinion and carry out the research, the concrete steps include: first, the whole network of public opinion propagation characteristics were analyzed; secondly, combined with the life cycle theory to quantify the public opinion dissemination stage; finally, social networks are established in each stage, analysis of real cases carried out; research shows that public opinion dissemination characteristics of the various stages of different propagation the law is also different. Finally, combined with the public opinion of case analysis and big data characteristics, find out the problems of public opinion monitoring: public opinion monitoring work management awareness backward, public opinion can not be treated in time, monitoring technology is not mature, public opinion is not controllable increases, the mainstream media supervision mechanism is not perfect; the combination of big data characteristics, proposed separately from the three levels of state, society and individual change the traditional ideas, enhance the monitoring of the technical level, the establishment of public opinion monitoring system; strengthen the guidance and supervision of social media users; improve personal qualities, encourage people to actively participate in the work of the public opinion monitoring public opinion monitoring recommendations under the new environment.
【学位授予单位】：天津工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP393.09

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