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The online competition between pro- and anti-vaccination views 期刊论文
NATURE, 2020, 582 (7811) : 230-+
作者:  Wu, Fan;  Zhao, Su;  Yu, Bin;  Chen, Yan-Mei;  Wang, Wen;  Song, Zhi-Gang;  Hu, Yi;  Tao, Zhao-Wu;  Tian, Jun-Hua;  Pei, Yuan-Yuan;  Yuan, Ming-Li;  Zhang, Yu-Ling;  Dai, Fa-Hui;  Liu, Yi;  Wang, Qi-Min;  Zheng, Jiao-Jiao;  Xu, Lin;  Holmes, Edward C.;  Zhang, Yong-Zhen
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/03

Insights into the interactions between pro- and anti-vaccination clusters on Facebook can enable policies and approaches that attempt to interrupt the shift to anti-vaccination views and persuade undecided individuals to adopt a pro-vaccination stance.


Distrust in scientific expertise(1-14) is dangerous. Opposition to vaccination with a future vaccine against SARS-CoV-2, the causal agent of COVID-19, for example, could amplify outbreaks(2-4), as happened for measles in 2019(5,6). Homemade remedies(7,8) and falsehoods are being shared widely on the Internet, as well as dismissals of expert advice(9-11). There is a lack of understanding about how this distrust evolves at the system level(13,14). Here we provide a map of the contention surrounding vaccines that has emerged from the global pool of around three billion Facebook users. Its core reveals a multi-sided landscape of unprecedented intricacy that involves nearly 100 million individuals partitioned into highly dynamic, interconnected clusters across cities, countries, continents and languages. Although smaller in overall size, anti-vaccination clusters manage to become highly entangled with undecided clusters in the main online network, whereas pro-vaccination clusters are more peripheral. Our theoretical framework reproduces the recent explosive growth in anti-vaccination views, and predicts that these views will dominate in a decade. Insights provided by this framework can inform new policies and approaches to interrupt this shift to negative views. Our results challenge the conventional thinking about undecided individuals in issues of contention surrounding health, shed light on other issues of contention such as climate change(11), and highlight the key role of network cluster dynamics in multi-species ecologies(15).


  
Assessment of the degree of order in the organisational structure of electricity regulatory institution in China based on shannon entropy 期刊论文
ENERGY POLICY, 2019, 132: 429-439
作者:  Wang, Zheng-Xin;  He, Ling-Yang;  Li, Dan-Dan
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/27
Electricity regulation  Organisational structure  Degree of order  Shannon entropy  Genetic algorithm  
Progress towards sustainable intensification in China challenged by land-use change 期刊论文
NATURE SUSTAINABILITY, 2018, 1 (6) : 304-313
作者:  Zuo, Lijun;  Zhang, Zengxiang;  Carlson, Kimberly M.;  MacDonald, Graham K.;  Brauman, Kate A.;  Liu, Yingchun;  Zhang, Wen;  Zhang, Huayong;  Wu, Wenbin;  Zhao, Xiaoli;  Wang, Xiao;  Liu, Bin;  Yi, Ling;  Wen, Qingke;  Liu, Fang;  Xu, Jinyong;  Hu, Shunguang;  Sun, Feifei;  Gerber, James S.;  West, Paul C.
收藏  |  浏览/下载:18/0  |  提交时间:2020/08/19
Decomposition of the factors influencing export fluctuation in China's new energy industry based on a constant market share model 期刊论文
ENERGY POLICY, 2017, 109
作者:  Wang, Zheng-Xin;  Zheng, Hong-Hao;  Pei, Ling-Ling;  Jin, Tong
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09
New energy industry  Constant market share model  Export fluctuation  Industrial policy  Sustainable development  
OMI-measured increasing SO2 emissions due to energy industry expansion and relocation in northwestern China 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (14)
作者:  Ling, Zaili;  Huang, Tao;  Zhao, Yuan;  Li, Jixiang;  Zhang, Xiaodong;  Wang, Jinxiang;  Lian, Lulu;  Mao, Xiaoxuan;  Gao, Hong;  Ma, Jianmin
收藏  |  浏览/下载:9/0  |  提交时间:2019/04/09
Investment opportunity in China's overseas oil project: An empirical analysis based on real option approach 期刊论文
ENERGY POLICY, 2017, 105
作者:  Tang, Bao-Jun;  Zhou, Hui-Ling;  Chen, Hao;  Wang, Kai;  Cao, Hong
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
Overseas oil project  Investment opportunity  Real option  Trinomial tree