摘要
针对网络热点事件舆论分析的需求,研究了开放式、参与式的网络信息扩散模式下,网络中用户之间的新型互动行为及其在热点事件传播过程中的时空特征。利用网络数据挖掘技术,通过对网络热点事件评论的挖掘,提取关注热点事件的时空信息。通过网络热点事件关注群体地理分布的可视化表达,得到网络热点事件的舆论动态,为舆情综合管理提供决策支持。
In view of the demand of public opinion analysis of network hot spots,in the open and participatory network information diffusion model,the new interaction was studied behaviors among users in the network,and new features of the spread of hot event under the open and participatory mode.Using network mining technology it is extracted time and space information of hot spots and events through the network hot spot event review mining.Through the network hot events,the visual expression of the geographical distribution of the population is concerned,and the public opinion dynamics of the network hot events was gotten,and it provides decision support for the comprehensive management of public opinion.
出处
《河南理工大学学报（自然科学版）》
CAS
北大核心
2016年第5期655-659,共5页
Journal of Henan Polytechnic University（Natural Science）
基金
国家自然科学基金资助项目(41572341
41340034)
