Information diffusion on communication networks based on Big Data analysis
Pages | 745-757 |
Date | 07 August 2017 |
DOI | https://doi.org/10.1108/EL-09-2016-0194 |
Published date | 07 August 2017 |
Author | Nan Zhou,Xiu-Xiu Zhan,Song Lin,Shang-Hui Yang,Chuang Liu,Gui-Quan Sun,Zi-Ke Zhang |
Subject Matter | Information & knowledge management,Information & communications technology,Internet |
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, Shang-Hui Yang and Chuang Liu
Hangzhou Normal University, Hangzhou, China
Gui-Quan Sun
Shanxi University, Taiyuan, China, and
Zi-Ke Zhang
Hangzhou Normal University, Hangzhou, China
Abstract
Purpose –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.
Design/methodology/approach –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 ofce data of several movies to predict the process
of information diffusion. In addition, a metric is dened to identify which information would become news in
the future.
Findings –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 inuences the dissemination of
information. There are an enormous number of factors that inuence the formation of hotspots.
Practical implications –The results and conclusion of this work will benet by predicting the evolution
of information carriers. The metric proposed will aid in searching hot news in the future.
Originality/value –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.
Keywords Big data, Communication networks, Information carriers, Information diffusion
Paper type Research paper
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).
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0264-0473.htm
Big Data
analysis
745
Received 27 September 2016
Revised 15 April 2017
Accepted 15 April 2017
TheElectronic Library
Vol.35 No. 4, 2017
pp.745-757
©Emerald Publishing Limited
0264-0473
DOI 10.1108/EL-09-2016-0194
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