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
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;
Conference_Titel :
Computing, Networking and Communications (ICNC), 2014 International Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/ICCNC.2014.6785295