The national geographic characteristics of online public opinion propagation in China based on WeChat network

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 characte...

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Published in	GeoInformatica Vol. 22; no. 2; pp. 311 - 334
Main Authors	Ai, Chuan, Chen, Bin, He, Lingnan, Lai, Kaisheng, Qiu, Xiaogang
Format	Journal Article
Language	English
Published	New York Springer US 01.04.2018 Springer Springer Nature B.V
Subjects	Analysis Computer Science Data processing Data Structures and Information Theory Digital media Division Earth and Environmental Science Economics Geographical Information Systems/Cartography Geography Information Storage and Retrieval Internet Management methods Multimedia Information Systems Propagation Public opinion Regions Social media Social networks Social organization China Public opinion online Community detection Regional characteristics Online interaction network
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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 G , 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.
AbstractList	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 G, 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. 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 G , 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.
Audience	Academic
Author	Lai, Kaisheng Ai, Chuan Chen, Bin He, Lingnan Qiu, Xiaogang
Author_xml	– sequence: 1 givenname: Chuan surname: Ai fullname: Ai, Chuan organization: College of Information System and Management, National University of Defense Technology – sequence: 2 givenname: Bin surname: Chen fullname: Chen, Bin email: nudtcb9372@gmail.com organization: College of Information System and Management, National University of Defense Technology – sequence: 3 givenname: Lingnan surname: He fullname: He, Lingnan organization: School of Communication and Design, Sun yat-sen University – sequence: 4 givenname: Kaisheng surname: Lai fullname: Lai, Kaisheng organization: School of Communication and Design, Sun yat-sen University – sequence: 5 givenname: Xiaogang surname: Qiu fullname: Qiu, Xiaogang organization: College of Information System and Management, National University of Defense Technology
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SubjectTerms	Analysis Computer Science Data processing Data Structures and Information Theory Digital media Division Earth and Environmental Science Economics Geographical Information Systems/Cartography Geography Information Storage and Retrieval Internet Management methods Multimedia Information Systems Propagation Public opinion Regions Social media Social networks Social organization
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Title	The national geographic characteristics of online public opinion propagation in China based on WeChat network
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