DocumentCode :
3599931
Title :
Research on visualization of communication network in social topic
Author :
Boxin Mao ; Xin Jin ; Shan Liu ; Jianping Chai
Author_Institution :
Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
fYear :
2014
Firstpage :
656
Lastpage :
661
Abstract :
Visualization technology helps people find much information which is difficult to dig up with the conventional statistical methods, understand the dynamic variation law, so as to predict the development and the results of network better. In this paper, based on the relevant knowledge of complex network theory and communication, we use the huge amounts of data in the social network to set up communication network model in social topic, and improve the mechanical model of classical algorithm to realize the dynamic real-time visualization in the process of topic communication. The dynamic visualization of single and multiple topics explain the process and mechanism of information transmission intuitively.
Keywords :
complex networks; data visualisation; social networking (online); statistical analysis; communication network visualization; complex network theory; dynamic real-time visualization; dynamic variation law; dynamic visualization; information transmission; mechanical model; social network; social topic; statistical methods; topic communication; Communication networks; Computational modeling; Data visualization; Electronic publishing; Encyclopedias; Internet; Communication network; Dynamic visualization; Social network; Topic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
Print_ISBN :
978-1-4799-4720-1
Type :
conf
DOI :
10.1109/CCIS.2014.7175816
Filename :
7175816
Link To Document :
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