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