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Copyright © 2018 Biao Jin et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/

Abstract

The study of cyberspace is faced with the challenge of the data shortage and model verification. This paper proposed a method to explore the regional cyberspace by employing Internet sequential information flows crawled from social network platforms. Compared with previous studies which only use one type of data sources for analysis, the main contribution of this manuscript is adopting the scheme that uses one kind of Internet information flow to extract cyberspace feature while relevant data collected from the other network platform is used for verification. Moreover, starting from measuring the informatization level of a region, a modified gravity model is designed by adding the value of informatization level to the traditional method. Then, an information association matrix based on the improved gravity model is constructed for analyzing the characteristics of cyberspace. To demonstrate the efficiency, Fuzhou city is considered as an interesting regional sample in this paper. The reasonable results indicate that the proposed approach is practical for regional cyberspace.

Details

Title
Studying the Regional Cyberspace by Exploiting Internet Sequential Information Flows
Author
Jin, Biao 1   VIAFID ORCID Logo  ; Jin-ming, Sha 2   VIAFID ORCID Logo  ; Jian-wan, Ji 2   VIAFID ORCID Logo  ; Yi-su, Liu 2   VIAFID ORCID Logo  ; Wu-heng, Yang 2   VIAFID ORCID Logo 

 College of Geographical Sciences, Fuzhou, China; College of Mathematics and Informatics, Fuzhou, China 
 College of Geographical Sciences, Fuzhou, China 
Editor
Stanislav Vítek
Publication year
2018
Publication date
2018
Publisher
John Wiley & Sons, Inc.
ISSN
1024123X
e-ISSN
15635147
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2123605945
Copyright
Copyright © 2018 Biao Jin et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/