基于数据挖掘的弱关系社交网络及弱关系强化的研究  

Research on Weak Relation Social Network and Weak Relation Strengthening Based on Data Mining

作　　者：潘树银 高建瓴[1] PAN Shu-yin GAO Jian-ling(College of Big Data and Information Engineering,Guizhou University,Guiyang 550025,Chin)

机构地区：[1]贵州大学大数据与信息工程学院,贵阳550025

出　　处：《计算机科学》2016年第8期229-232,261,共5页Computer Science

基　　金：贵州省科学技术基金项目:云环境中半监督聚类算法的并行化研究(黔科合J字[2015]2045)资助

摘　　要：以新浪微博作为弱关系社交网络的代表。针对弱关系社交网络,在聚类和相关性方面做了详细分析,并对弱关系社交网络中弱关系的强化做了适当的条件假设。然后,随机选取了若干不同类型的话题微博,并获取了不同数量的样本点;对话题微博进行研究与分析,用实验证明了该假设的合理性,并找到了弱关系变强的具体条件。Sina microblog is a representative of the social network which is weakly related. Aiming at the relevance among user behaviors of weak relational social network, this paper analyzed them in clustering and correlation in detail, and made certain assumptions at the same time. Then we randomly selected a number of topic microblog from different aspects, and got different number of sample points. Based on these topic microblog, this paper carried out research and analysis. The results prove the rationality of the hypothesis, and the specific conditions of weak relation getting stronger are found afterwards.

关 键 词：社交网络 强关系 弱关系 凝聚层次聚类 相关系数 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]