摘要
如今社交网络已成为人与人之间保持联络、休闲娱乐的主要手段。用户是社交网络中的核心,其行为是深入了解社交网络运行机理的起点,对社交网络中用户行为的分析研究有非常大的价值。针对新浪微博中提取出的数据,利用社交网络分析中的节点与节点度、用户群与聚类系数,以及平均路径长度与直径进行了一系列研究,详细分析了用户在转发微博和评论微博方面的行为,说明了用户与用户之间存在的关联。
Today, social network has become a major means for people to keep in touch with people and entertainment. Users are the core of social networks, and their behavior is the starting point for in-depth understanding of the operation mechanism of social networks. According to the extracted data in Sina micro-blog, using the node and the node degree, the user group and the clustering coefficient, and average path length and diameter, etc. in social network analysis, studies and analyzes the users＇ behavior when they forwarding miero-blog or making comments on micro-blog, and shows the correlations between the user and the user.
出处
《计算机时代》
2017年第6期29-31,35,共4页
Computer Era
基金
国家自然科学基金项目(61562039)
江西省教育厅科技计划(GJJ150423)
关键词
社交网络
用户行为
节点度
聚类系数
平均路径长度
social network
user behavior
node degrees
clustering coefficient
average path length
