情报杂志Issue(10)：159-164,6.DOI:10.3969/j.issn.1002-1965.2014.10.027
基于节点度测度SNS用户信息传播贡献的实证研究*--以腾讯微博为例
Measuring the Contribution of the Users of Social Network Sites to the Dissemination of Information Based on Node Degrees:An Empirical Study Taking"Tecent Micro-blog" for Example
摘要
Abstract
In this article we applied the social network analysis to the research of the influence of the nodes' structural location and their in-teraction in the network on information dissemination. Choosing Tencent Micro-blog as the research target, we generated a sample of user data for the experiment afterwards. Using the Ucinet to generate network topology and conducting the node degree analysis based on adja-cency matrix, we discussed the network structure of the community, measured the correlation between nodes' degree and their contribution to information dissemination, and then found the variable that best describes the dissemination of information in networks of different sizes. The findings of this paper enable monitoring and managing public opinion through targeted control and guidance over the releasing and dis-tributing of information of different types of vital nodes.关键词
微博/SNS/节点度/中心性/信息传播Key words
Micro-blog/SNS/node degree/centrality/information dissemination分类
社会科学引用本文复制引用
陈远,李韫慧,张敏..基于节点度测度SNS用户信息传播贡献的实证研究*--以腾讯微博为例[J].情报杂志,2014,(10):159-164,6.基金项目
国家自然科学基金项目“Web2.0环境下基于社会化网络瓶颈限制的信息扩散最大化研究”(编号:71203166)。 （编号:71203166）
