摘要(英) |
In recent years, the rise of social websites, such as: Facebook, like the website has been widely used, these websites have a lot of information about the user. Many researchers have begun to study how to effectively analyze large amounts of social network data. Information diffusion and influence of social network analysis is one of the concerns being. However, recent studies usually only focus on the behavior of information diffusion between users, instead of considering the behavior of information diffusion between different social communities Therefore, this paper provides information diffusion between communities and influence of community in the social networks, find out the mutual influence between community relations. This research is composed of two parts: the first part, according to the community website provides Community information and messages between users spread and influence relationships define the degree of mutual influence between the two communities; the second part, the use of Randomized HITS algorithm methods to measure the influence rank of communities in social network. |
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