Paper Info
Title
The national geographic characteristics of online public opinion propagation in China based on WeChat network.
Abstract
Offline networks have been the subject of intense academic scrutiny for many decades, but we still know little about the nationwide spatial interaction patterns and its application for public opinion management of online social networks. With the aim of uncovering the geographic interaction characteristics of online public opinion propagation, we analyze a large dataset obtained from WeChat, the most popular social media application in China, and construct the spatial interaction network , which contains 359 city-nodes. It is found that the communities in the network and the administrative division corresponded well with each other, and cities with high betweenness and degree also develop well in the economy. Public opinion propagation depends on the state of online interaction. The findings indicate that public opinion should be managed separately by regions divided according to the community division, and different regions should adopt different management methods according to their economic, historical and political characteristics. In our work, the possibility and opportunity is presented to study the spatial interaction patterns of online public opinion propagation with the massive behavioral data and the methods of complex network.
Year
DOI
Venue
2018
https://doi.org/10.1007/s10707-017-0311-4
GeoInformatica
Keywords
Field
DocType
Online interaction network,Public opinion online,Community detection,Regional characteristics
Data science,Administrative division,Data mining,Social network,Social media,China,Betweenness centrality,Public opinion,Complex network,Geography,Scrutiny
Journal
Volume
Issue
ISSN
22
2
1384-6175
Citations 
PageRank 
References 
1
0.37
10
Authors
5
Name
Order
Citations
PageRank
Chuan Ai124.78
Bin Chen27114.47
Lingnan He334.51
Kaisheng Lai422.47
Xiaogang Qiu532.59