DocumentCode
124369
Title
A novel method for information propagation model perceiving
Author
Chengqi Yi ; Yuanyuan Bao ; Siqi Sun ; Yibo Xue
Author_Institution
Sch. of Comput. Sci. & Technol., Harbin Univ. of Sci. & Technol., Harbin, China
fYear
2014
fDate
3-6 Feb. 2014
Firstpage
6
Lastpage
10
Abstract
With the rapid development of Internet, we have to face an increasingly important reality regarding the way in which people propagate information and express their thoughts. Meanwhile, social network has caused the tremendous changes of information propagation model. On this premise, perceiving information propagation model effectively is critical in understanding the rules of information propagation. In this paper, we determine the relationship between modularity and information propagation model, and propose a novel method which combines modularity with triple exponential smoothing model to perceive information propagation mechanism. The experimental results demonstrate the effectiveness of our method in information propagation model perceiving. This method can also predict information propagation trends to a certain extent.
Keywords
Internet; social networking (online); Internet; information propagation model; modularity; social network; triple exponential smoothing model; Analytical models; Communities; Computational modeling; Mathematical model; Smoothing methods; Social network services; Vectors; information propagation model; modularity; social network; triple exponential smoothing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Networking and Communications (ICNC), 2014 International Conference on
Conference_Location
Honolulu, HI
Type
conf
DOI
10.1109/ICCNC.2014.6785295
Filename
6785295
Link To Document