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
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;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-4519-6
DOI :
10.1109/IMCCC.2011.161
