TY - JOUR
T1 - Information diffusion on communication networks based on Big Data analysis
AU - Zhou, Nan
AU - Zhan, Xiuxiu
AU - Lin, Song
AU - Yang, Shang-Hui
AU - Liu , Chuang
AU - Sun, Gui-Quan
AU - Zhang , Zi-Ke
PY - 2017
Y1 - 2017
N2 - 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 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. 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 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. 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.
AB - 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 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. 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 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. 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.
KW - Big data
KW - Communication networks
KW - Information carriers
KW - Information diffusion
UR - http://www.scopus.com/inward/record.url?scp=85031292237&partnerID=8YFLogxK
U2 - 10.1108/EL-09-2016-0194
DO - 10.1108/EL-09-2016-0194
M3 - Article
AN - SCOPUS:85031292237
SN - 0264-0473
VL - 35
SP - 745
EP - 757
JO - The Electronic Library: the international journal for the application of technology in information environments
JF - The Electronic Library: the international journal for the application of technology in information environments
IS - 4
ER -