摘要
社交网络已经成为人们获取信息和进行社会交往的重要平台。一个话题经过众多网民评论与传播,可能演变成社会关注的热点舆情。在社交网络文本大数据背景下,从话题产生源头把握其演化趋势和发展规律,对负向或弱正向话题采用适当的策略加以引导,使其朝着正向发展,对社会稳定具有重要意义。当前国内外相关研究尚处于起步阶段,理论方法和研究手段还不成熟。在综述的基础上,文章系统地提出网络舆情引导策略的理论与方法,包括社交网络舆情生命周期与结构平衡协同演化模型;基于网络结构平衡的结构洞分析、关键节点人物识别、同质化分析的舆情引导模型特征参数分析;社交网络舆情正向引导式学习模型、算法及系统。
In social network platforms,a topic may evolve into hot public opinion after hundreds of millions of Internet users comments and spreads.Under text big data of the social network,we grasp evolution tendency and development law of the topic.It is great significant for social stability that we adopt appropriate strategies and methods to guide negative and weak positive topics toward the positive development.At present,the domestic and foreign research on guidance strategy of network public opinion is still in its infancy.And so,we systematically put forward the theory and method of the positive guidance strategy of network public opinion in this project.Our mainly researches are listed as follows:studying the approaches to identify the public opinion of the social networks based on the analysis of the time sequence features of topic point view emotional tendency.Discussing the cooperative relationship model among public opinion life cycle,the public opinion evolution of the social networks and the balance dynamics of network structure.We explore the approaches of public opinion analysis of the social network based on its balance theory.Researching on features of public opinion guidance model by combining with structure holes analysis,the key node recognition and homogeneity analysis of social network structure.Designing the positive guidance learning model,algorithm and system of the social network public opinion by using the structural balance theory.
作者
杜亚军
吴越
李显勇
陈晓亮
刘文君
范永全
DU Yajun;WU Yue;LI Xianyong;CHEN Xiaoliang;LIU Wenjun;FAN Yongquan(School of Computer and Soft Engineering,Xihua University,Chengdu 610039 China)
出处
《西华大学学报（自然科学版）》
CAS
2019年第2期1-11,共11页
Journal of Xihua University:Natural Science Edition
基金
国家自然科学基金(61872298
61472329
61532009
61802316
61602389)
四川省科技厅项目(2017HH0083)
关键词
网络结构平衡
社交网络
短文本分析
网络舆情
机器学习
舆情引导
network structure balance
social network
short text analysis
internet public opinion
machine learning
opinion guidance
