Abstract
An increasing number of people obtain and share information on social networks through short text messages, a.k.a. microblogs. These microblogs propagate widely online based on the followship between users as well as the retweeting mechanism. The regular pattern of retweeting behaviors can be discovered by mining the historical retweet data, and the key users in the information diffusion process can also be found in this way. This paper gives the novel definition of information diffusion network and three categories of nodes in the network. A tool designed to mine the information diffusion network and visualize the result is implemented. This paper introduces related definitions, the architecture, mining algorithms and the visualization interface.
This work was supported in part by the National Natural Science Foundation of China (No. 61373023, No. 61170064) and the National High Technology Research and Development Program of China (No. 2013AA013204)
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© 2015 Springer International Publishing Switzerland
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Wang, C., Wang, C., Hao, J., Wang, H., Ye, X. (2015). MAVis: A Multiple Microblogs Analysis and Visualization Tool. In: Renz, M., Shahabi, C., Zhou, X., Cheema, M. (eds) Database Systems for Advanced Applications. DASFAA 2015. Lecture Notes in Computer Science(), vol 9050. Springer, Cham. https://doi.org/10.1007/978-3-319-18123-3_36
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DOI: https://doi.org/10.1007/978-3-319-18123-3_36
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