DocumentCode
3349593
Title
The Scaling Parameter Estimation of Information Forwarding Network
Author
Guo, RuiXu ; Zhang, LeTian ; Zhu, Junmao
Author_Institution
North Electron. Equipments Res. Inst., Beijing, China
fYear
2011
fDate
21-23 Oct. 2011
Firstpage
626
Lastpage
629
Abstract
The popularity of online communication, with special emphasis is on Twitter, the most popular application of the kind, is growing quickly. In this paper, the principle and the characteristic of Twitter is introduced. With comparing the topology of the communication network based on twitter and other social network, we consider the node with largest degree has more effect than others. And with estimation of scaling parameter for data from one hot topic, the simulation results for the information retransmission network are proposed to show the correctness of the proposed opinion.
Keywords
parameter estimation; social networking (online); topology; Twitter; communication network topology; information forwarding network; information retransmission network; online communication; scaling parameter estimation; social network; Blogs; Data models; Fitting; Maximum likelihood estimation; Twitter; parameter estimation; power low distribution; social network; twitter analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-4519-6
Type
conf
DOI
10.1109/IMCCC.2011.161
Filename
6154186
Link To Document