Influence Analyzing and Modeling of High Frequency Forwarding Microblogs

Author

Shangbo Zhou ; Wei Wang ; Jie Luo ; Li Wan ; Yao Zhang

Author_Institution

Key Lab. of Dependable Service Comput. in Cyber Phys. Soc., Chongqing Univ., Chongqing, China

fYear

2013

fDate

20-23 Aug. 2013

Firstpage

1479

Lastpage

1485

Abstract

Classification of high frequency micro logs has been completed. A model is proposed in which the direct influence is based on some factors: the micro logger\´s aggregation, the activity, the amount of microblog comments and the number of fans, and the indirect influence is based on the forward depth and repost time. Official microblog "Chongqing Mobile" and grassroots microblog "Hong Jie" are chosen as examples to illustrate the modeling process of the influence of a single high frequency forward microblog, and the experiment result show that the proposed model is corresponded to the reality.

Keywords

Internet; Web sites; mobile computing; Chongqing mobile; forward depth; forwarding microblogs; grassroots microblog Hong Jie; high frequency forward microblog; high frequency microblogs; microblog comments; microblogger aggregation; modeling process; repost time; Analytical models; Data acquisition; Data analysis; Data mining; Educational institutions; Fans; Mobile communication; complex network; data mining; influence; microblog;

fLanguage

English

Publisher

ieee

Conference_Titel

Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing

Conference_Location

Beijing

Type

conf

DOI

10.1109/GreenCom-iThings-CPSCom.2013.261

Filename

6682273