DOI: 10.3724/SP.J.1001.2009.03512

Journal of Software (软件学报) 2009/20:5 PP.1384-1392

Bursty Propagation Model for Incidental Events in Blog Networks

A discrete time dynamic model is proposed for bursty propagation of incidental events based on the node popularity and activeness in blog networks. The parameters of this model are clearly associated with the actual propagation and can reflect the characteristics of the dynamic propagation process. The model can provide a basis for predicting the trend of social events propagation in blog networks. Numerical testing is performed with the data from widely discussed events in Sina Blog, one of the most popular blogospheres in China in several months, and the results show that this model can emulate the actual event propagation and reflect the heavy tail phenomena of the decreasing propagation rate.

Key words:blog network,node popularity,node activeness,topic field strength,topic propagation

ReleaseDate:2014-07-21 15:09:45

Funds:Supported by the National Natural Science Foundation of China under Grant Nos.60574087, 60736027, 60704008 the National High-Tech Research and Development Plan of China under Grant Nos.2007AA01Z480, 2007AA01Z475, 2007AA01Z464 the Program of Introducing Talents of Discipline to Universities of China under Grant No.B06002 the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No.20070003110

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