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Information diffusion on communication networks based on Big Data analysis

Nan Zhou (Hangzhou Normal University, Hangzhou, China)
Xiu-Xiu Zhan (Delft University of Technology, Delft, The Netherlands)
Song Lin (Hangzhou Normal University, Hangzhou, China)
Shang-Hui Yang (Hangzhou Normal University, Hangzhou, China)
Chuang Liu (Hangzhou Normal University, Hangzhou, China)
Gui-Quan Sun (Shanxi University, Taiyuan, China)
Zi-Ke Zhang (Hangzhou Normal University, Hangzhou, China)

The Electronic Library

ISSN: 0264-0473

Article publication date: 7 August 2017



Information carriers (including mass media and We-Media) play important roles in information diffusion on social networks. The purpose of this paper is to investigate changes in the dissemination of information combing with data analysis.


This work analyzed nearly 200 years of coverage of different information carriers during different periods of human society, from the period of only mouth-to-mouth communication to the period of modern society. Information diffusion models are built to illustrate how the information dynamic changes with time and combined box office data of several movies to predict the process of information diffusion. In addition, a metric is defined to identify which information would become news in the future.


Results show that with the development of information carriers, information spreads faster and wider nowadays. The correctness of the metric proposed has been validated.

Research limitations/implications

The structure of social networks influences the dissemination of information. There are an enormous number of factors that influence the formation of hotspots.

Practical implications

The results and conclusion of this work will benefit by predicting the evolution of information carriers. The metric proposed will aid in searching hot news in the future.


This work may shed some light on a better understanding of information diffusion, spreading not only on social networks but also on the carriers used for the information spreading.



This work was partially supported by Natural Science Foundation of China (Grant Nos 61673151 and 11671241), Zhejiang Provincial Natural Science Foundation of China (Grant No. LY14A05001), Zhejiang Qianjiang Talents Project (QJC1302001), Zhejiang Xinmiao Talents Program (2016R423069) and the EU FP7 Grant 611272 (project GROWTHCOM).


Zhou, N., Zhan, X.-X., Lin, S., Yang, S.-H., Liu, C., Sun, G.-Q. and Zhang, Z.-K. (2017), "Information diffusion on communication networks based on Big Data analysis", The Electronic Library, Vol. 35 No. 4, pp. 745-757.



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