Information diffusion on communication networks based on Big Data analysis

Information diffusion on communication networks based on Big Data analysis PurposeInformation 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/approachThis 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.FindingsResults 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/implicationsThe structure of social networks influences the dissemination of information. There are an enormous number of factors that influence the formation of hotspots.Practical implicationsThe 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.Originality/valueThis 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Electronic Library Emerald Publishing

Information diffusion on communication networks based on Big Data analysis

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0264-0473
DOI
10.1108/EL-09-2016-0194
Publisher site
See Article on Publisher Site

Abstract

PurposeInformation 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/approachThis 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.FindingsResults 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/implicationsThe structure of social networks influences the dissemination of information. There are an enormous number of factors that influence the formation of hotspots.Practical implicationsThe 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.Originality/valueThis 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.

Journal

The Electronic LibraryEmerald Publishing

Published: Aug 7, 2017

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