Research on visualization of communication network in social topic
Boxin Mao, Xin Jin, Shan Liu, Jianping Chai · 2014
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.