摘要
[目的 /意义]基于时间网络影响力模型,研究微博话题的时变传播特性。[方法 /过程]首先构建微博话题影响力网络模型,给出影响力网络的定义、关键因素分析、模型以及网络权值的计算方法,在此基础上,基于时间网络影响力模型研究微博话题时变传播特性,利用新浪微博平台及DATAMALL的最新微博话题数据仿真分析微博话题随时间的动态传播过程以及对用户的影响力强度。[结果 /结论]微博话题随时间的动态传播过程以及对用户的影响力强度之仿真分析结果表明:约有93.3%的话题延迟在1-5小时以内,同时微博话题的影响力网络权值越高,相应的转发评论人数越多,微博话题的影响力也越大。最后将本文提出的TNIM模型与传统的影响力网络模型LDA进行对比,结果显示TNIM模型的影响力网络权值的准确性和稳定性都高于LDA模型,验证了TNIM模型的有效性。
[Purpose/significance] The propagation characteristics micro-blog topic was studied based on the time network influence model.[Method/process] This article first constructed micro-blog topic influential network model, and discussed the definition of the influence of the network, the key factor analysis, model and calculate the network weights.On this basis, the proposed model was based on the propagation time of the network influence（Time Network Influence Model）.Using SinaWeibomicro-blog platform and data DATAMALL topic, the simulation of dynamic propagation micro-blog topic with the course of time and users＇ influence strength was studied.[Result/conclusion] The results showed that：about 93.3% of topics delayed within 5 hours;the higher the micro-blog topic＇s network influence weight, the more the corresponding number of the forwarding comments, and the greater influence of the micro-blog topic.Finally, the model（TNIM） was compared with the traditional influence of the network model（LDA）.The results show the influence of the accuracy and stability of the network weights TNIM model are higher than the LDA model, and the effectiveness of the TNIM model is verified.
出处
《图书情报工作》
CSSCI
北大核心
2016年第1期91-97,共7页
Library and Information Service
基金
江西省科技厅2013年度科技项目"多目标动态企业联盟的随机模糊合作博弈理论研究"(项目编号:20132BAB211013)研究成果之一
关键词
微博话题
时间网络影响力模型
传播特性
影响力网络权值
micro- blog topic
Time Network Influence Model
transmission characteristics
influence network weight
作者简介
曾文琴（ORCID：0000-0001-7068-141X），博士研究生，E-mail：lingdaohn@163．com；
黄玉军，讲师，硕士研究生；
涂国平，院长，教授，博士生导师。
