微博社交网络的对称程度实证分析  

Empirical analysis of symmetry degree for micro-blog social network

作　　者：康泽东 余旌胡[1] 丁义明[2] 

机构地区：[1]武汉理工大学理学院,武汉430070 [2]中国科学院武汉物理与数学研究所,武汉430071

出　　处：《计算机应用》2014年第12期3405-3408,3413,共5页journal of Computer Applications

摘　　要：Twitter和Sina微博注册用户构成关注关系社交网络,运用一种对称程度来研究其对称性随社交圈子规模变化的规律。首先根据收集的100万条新浪用户之间的关注关系和236个Twitter用户及其之间的关注关系来构建初始社交网络,选取其中具有明显对称性的连通子网络作为研究的主要对象,通过去除法得到:影响社交网络最大连通子网络对称性的主要因素是大V用户和可忽略用户。其次,采用比较分析法得出Twitter的大V用户构成的社交子网络对称性较强。最后,从功能定位方面分析了两种微博的不同;通过对初始网络的所有连通子网络的对称程度的研究,得出社交圈规模越小、相应的对称性越强的结论。While Twitter and Sina micro-blog＇s abundant registered users formed a social network of focusing relationship, by using the degree of symmetry its change regulation with the scale of the social circle was studied. Firstly, based on the collection of 1 000 000 focusing relationships among the Sina micro-blog users and 236 Twitter users as well as their focusing relationships, the initial social network was established. Here focus lied on the connected sub-networks which had obvious symmetrical connects, then the elimination method was applied to obtain these conclusions： The major factors that affect the symmetry of the maximum connected sub-networks are those who are called big V users and negligible users. After that, comparative analysis method was used to find out that the sub-network consisted of the big V users in Twitter has a stronger symmetry. Finally, the difference between these two kinds of micro-blogs was figured out in terms of functional localization. Through the researches on the symmetry of all connected sub-networks within the initial network, the result shows that when the scale of a public social circle decreases, the corresponding symmetry becomes stronger.

关 键 词：微博社交网络 对称程度 连通子网络 大V用户 可忽略用户 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]