Modeling Information Propagation in Chinese Microblogs Based on User Activity Influence
WISA '13 Proceedings of the 2013 10th Web Information System and Application Conference（2013）
Abstract
Nowadays, the micro blog has become one of the main platforms for information dissemination. Because the micro blog has massive users and the information is propagating in real time, the traditional information diffusion models are difficult to characterize the influence of the micro blog as a social network of communication. In this paper, two influence propagation models, namely the basic model and the discrete time model are proposed, and the probabilistic influences between users are inferred based on the user activities. The experiment using the real world data shows that the proposed models can effectively reflect the influences of communication between users in micro blog space, and predict the users' activities.
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Key words
information propagation modeling,modeling information propagation,chinese microblogs,human factors,social network,influence propagation,probabilistic influences,user activity influence,micro blog,influence propagation model,probabilistic influence,information dissemination,discrete time model,microblog,basic model,information diffusion,user activity prediction,graph theory,social networking (online),micro blog space,influence propagation models,real time,traditional information diffusion model,social communication network,probability
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