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随着在线社交网络(OLSN)开始迅速的崛起,网络本身也开始逐渐成为人类复杂社会生态系统的一个缩影,它甚至开始影响到人们信息传播行为的演化过程。对社交网络的研究可以方便人们把握自身社会体系价值和信息传播的一般规律及固有特点。OLSN基于互联网平台,因此建立特定的爬虫算法可以帮助我们方便地获得OLSN的用户信息数据,运用图论的理论,我们可以对这些数据进行有效地分析。研究表明对网络图的分析,我们能获得用户的人际关系信息,其中包括用户的朋友圈规模、圈中的“意见领袖”、信息在社交圈中传播的渠道枢纽、整体社交网络的架构以及圈中好友的相互联系方式。这为我们了解人类交际行为和社会系统提供了有力的帮助。
With the rapid rise of online social network (OLSN), the network itself has gradually become a microcosm of human complex social ecosystem. It even started to influence the evolution of people’s information dissemination. Research on social networks can make it easier for people to grasp the general laws and inherent characteristics of the value of their social system and the dissemination of information. OLSN is based on the Internet platform, so the establishment of a specific crawler algorithm can help us easily obtain OLSN user information data. Using the theory of graph theory, we can analyze these data effectively. The research shows that we can obtain the user’s interpersonal information through the analysis of the network diagram, including the size of the user’s circle of friends, the opinion leader in the circle, the channel hub of information dissemination in the social circle and the structure of the overall social network As well as the circle of friends in contact with each other. This has provided us with powerful help for understanding human communication behavior and social system.