DocumentCode :
3066147
Title :
Topic Propagation Model Based on Diffusion Threshold in Blog Networks
Author :
Yunzhong Cao ; Peiji Shao ; Liangqiang Li
Author_Institution :
Sch. of Manage. & Econ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2011
fDate :
29-31 July 2011
Firstpage :
539
Lastpage :
542
Abstract :
On the basis of depth study of dynamic propagation process, a propagation model based on diffusion threshold is established by taking use of social networks and epidemic theory. The threshold function of nodes in blog networks is proposed. The quantitative relationship among the propagation result, initial state, diffusion rate of topics and popularity of initial diffusion nodes in blog network is obtained by computer simulation. The experiment results show that the proposed model can simulate well the information propagation process of blog network. This model has established a certain basis for public opinion monitoring and intervention, and provided a feasible means for accurate network marketing in companies.
Keywords :
marketing data processing; social networking (online); blog networks; computer simulation; diffusion rate; diffusion threshold; epidemic theory; information propagation process; initial diffusion nodes; network marketing; public opinion intervention; public opinion monitoring; social networks; topic propagation model; Analytical models; Blogs; Computational modeling; Network topology; Shape; Social network services; Topology; blog network; diffusion threshold; node popularity; topic propagation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Computing and Global Informatization (BCGIN), 2011 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0788-9
Electronic_ISBN :
978-0-7695-4464-9
Type :
conf
DOI :
10.1109/BCGIn.2011.142
Filename :
6003944
Link To Document :
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