A Measurement Analysis of Information Propagation in Online Social Network

Author

Zhen Wang ; Zilong Yang ; Hong Shan ; Jianglan Shi

Author_Institution

PLA Electron. Eng. Inst., Hefei, China

fYear

2013

fDate

21-23 Sept. 2013

Firstpage

23

Lastpage

27

Abstract

In the modeling, monitoring, and control of information dissemination in social network, a fundamental problem concerns how to describe the spreading process during different nodes. A novel information propagation model is proposed to measure the effect by information by using generating function and giant connected component. We present examples of blog networks leads to unusual percolation properties by measuring the effect of information dissemination.

Keywords

information dissemination; social networking (online); blog networks; generating function; giant connected component; information dissemination; information propagation model; measurement analysis; online social network; percolation property; spreading process; Analytical models; Blogs; Data models; Diseases; Java; Probability; Social network services; Generating function; Giant connected percolation process; Information dissemination; Online social network;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/IMCCC.2013.13

Filename

6840402