摘要
使用社会网络分析方法,以新浪微博用户互惠关系为研究基础,通过实证分析新浪微博用户领域分类标签的密度,研究微博用户领域分类标签结构;打破原来用户所处微博用户领域分类标签格局,依据用户互惠关系对其进行重新分组,探讨在微博空间中各领域标签的互动情况。密度分析结果表明新浪微博对娱乐、传媒、健康、军事、房产分类标签影响较大,对汽车和公益分类标签影响相对较小;通过凝聚子群分析发现5组高密度凝聚子群,每组凝聚子群包含的分类标签互动程度高,影响程度大,从而能为舆论的监控和引导以及预测领域信息对其他领域影响关系提供理论依据。
Using the social network analysis method,taking the users＆#39; reciprocal relationships of Sina microblog as the researching founda-tion,the authors analyze the network density of each category tags, so as to research the category tags structure. In order to study the inter-action between category tags in the microblog space,we change the original class, by category tags pattern that defines the users＆#39; category tags on the field,and regroup by the users＆#39; reciprocal relationships. The study indicates that entertainment,media,health and military are in-fluenced by sina microblog more obviously than cars and public welfare are. Five condensing subgroups have been found in the condensing subgroup analysis, in each group, each tag is influenced by and interacted with others. Thus the paper provides theoretical basis for monito-ring and guiding the public opinion,as well as predicting the influence between the category tags fields.
出处
《情报杂志》
CSSCI
北大核心
2014年第4期122-127,共6页
Journal of Intelligence
关键词
互惠关系
社会网络分析
网络密度
凝聚子群
分类标签结构
分类标签互动
reciprocal relationship
social network analysis
network density
cohesive subgroup
category tag structure
category tag interaction
