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

Ai, Chuan; Chen, Bin; He, Lingnan; Lai, Kaisheng; Qiu, Xiaogang

doi:10.1007/s10707-017-0311-4

Cited by 15 publications

(15 citation statements)

References 35 publications

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“…In the work of Guanghua et al [28] and Ai et al [40] found that the structure of Spatio-info networks was highly consistent with administrative division. Therefore, the community detection results of origin network and evolution network are compared in this paper.…”

Section: B Community Structure Comparisonmentioning

confidence: 92%

“…Community detection is an important research method in the research of Spatio-info networks. The study by Guanghua et al [28] and Ai et al [40] found that such networks have important characteristics in the community structure. In the results obtained by the community detection, the nodes (city or base station) belonging to the same community are geographically close, and the boundaries of the community geographically agree well with the boundaries of administrative divisions.…”

Section: B Community Structure Comparisonmentioning

confidence: 99%

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Data Driven Spatio-Info Network Modeling and Evolution With Population and Economy

Dong

Chen

et al. 2019

IEEE Access

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Spatial interaction is the process that individuals interact with each other at different geographical locations. It attracts much research interests for the increasing data and applications related to spatial interaction. In this paper, a method is proposed to construct the spatio-info network with the dataset from WeChat. The correlation between human factors and statistics characteristics of the network is analyzed and confirmed, and then, the gross domestic product (GDP) and demographics are integrated into gravity model to model the spatio-info network. The likelihood method is used to solving the parameters and evaluates the four models; it is found that the GDP-GDP-distance (GGD) and population-population-distance (PPD) are similar and much better than the other two models. Finally, topological characteristics and community structure of the evolution network are analyzed to evaluate the models. It is found that evolution networks of the two models are almost consistent to origin network, and PPD models are better. It is concluded that the gravity model and human factors can be used to model the spatio-info network. This paper can be used to predict the communication amount of different regions in online social media dynamically. Naturally, this will help the mobile communication infrastructure construction, especially for a new generation of technology, such as 5G, or for regions with poor infrastructure. In addition, it will also help the software service providers configure server and advertising resources.INDEX TERMS Spatio-info network, law of universal gravitation, GDP, demographics.

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Section: B Community Structure Comparisonmentioning

confidence: 92%

Section: B Community Structure Comparisonmentioning

confidence: 99%

Data Driven Spatio-Info Network Modeling and Evolution With Population and Economy

Dong

Chen

et al. 2019

IEEE Access

Self Cite

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“…It shows what you want to see, produce alternate information environments whose implications for foreign policy opinion are not yet fully appreciated [25] [26]. However, public opinion on the online social network is challenging to manage and study suggested that the results of the analysis of the geographic characteristics give some new ideas and strategy to address the online public opinion [27]. The similarity of national and state-level patterns suggest that similar issues were influencing trends in the national and state level in the same way [34].…”

Section: Related Workmentioning

confidence: 99%

Geographical distance and news diffusion associating with the sentiment of tweets: Case Study on London Bridge Attack 2017

Teh

Low

2020

2020 IEEE Intl Conf on Parallel &Amp; Distributed Processing With Applications, Big Data &Amp; Cloud Computing, Sustainable Com

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This article aims to explore how could distance affect news diffusion and polarity of the sentiment. Understanding the estimation potential point of origin of news diffusion can allow time to control or monitor the potential of fake news to continue to disperse. In this case, we collect a total of 10,427 English tweets posted 1 hour after the real incident of London bridge attack. Taking into consideration that the ground zero as the place of attack, for an accumulating buffer of radius expanding with 400km from ground zero geographically, we organise tweets into ten clusters sets and analyse it. News diffusion level associating with the polarity of the sentiment of news discussed, and the type of terms that frequently used within the radius are also analysed.

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“…This behavioral targeting study may also be necessary for strategic decisions in companies. The geographic interaction characteristics of online public opinion propagation were also studied by Ai et al [26]. Barbier et al [27] proposed a method to understand the behavior and dynamics of online groups, showing that their results could have practical business implications, such as a better understanding of customers and influence propagation.…”

Section: Related Workmentioning

confidence: 99%

Towards business partnership recommendation using user opinion on Facebook

Tsutsumi

Fenerich

Silva

2019

J Internet Serv Appl

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The identification of strategic business partnerships can potentially provide competitive advantages for businesses; however, due to the dynamics and uncertainty present in business environments , this task could be challenging. To help businesses in this task , this study presents a similarity model between businesses that consider the opinions of users on content shared by businesses on social media. Thus, this model captures significant virtual relationships among businesses that are generated by users in the virtual world. Besides, we propose an algorithm for detecting business communities in the considered model. We also propose an algorithm to identify possible business outliers in the detected communities, which could represent an automatic way to identify non-obvious relations that might deserve particular attention of business owners. By exploring approximately 280 million user reactions on Facebook, we show that our results could favor the development of, for example, a new strategic business partnership recommendation service.

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

Cited by 15 publications

References 35 publications

Data Driven Spatio-Info Network Modeling and Evolution With Population and Economy

Data Driven Spatio-Info Network Modeling and Evolution With Population and Economy

Geographical distance and news diffusion associating with the sentiment of tweets: Case Study on London Bridge Attack 2017

Towards business partnership recommendation using user opinion on Facebook

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