Research activities

Understanding the Patterns of Large-Scale, Complex Human Networks and the Emergence of Social Phenomena

Understanding the characteristics of large-scale, complex human networks and the social phenomena that emerge from them is an essential aspect of sociology, psychology, and data science research. For instance, during the COVID-19 pandemic, the cost-effectiveness of large-scale nucleic acid testing strategies and the emergence of pandemic fatigue. We employ the sociological feedback mechanism framework, combined with complex network analysis methods, to comprehend the impact of social phenomena on economic health.

Papers and Research Reports

Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong

Du Z, Wang L, Shan S, Lam D, Tsang TK, Xiao J, Gao H, Yang B, Ali ST, Pei S, Fung IC-H, Lau EHY, Liao Q, Wu P, Meyers LA, Leung GM, Cowling BJ

Proceedings of the National Academy of Sciences of the United States of America (2022)

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Pandemic fatigue and attenuated impact of avoidance behaviours against COVID-19 transmission in Hong Kong by cross-sectional telephone surveys

Gao H, Du Z, Tsang TK, Xiao J, Shan S, Liao Q, Wu P, Leung GM, Cowling BJ

BMJ Open (2021)

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The temporal network of mobile phone users in Changchun Municipality, Northeast China

Du Z, Yang Y, Gao C, Huang L, Huang Q, Bai Y

Scientific Data (2018)

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Modeling and inferring mobile phone users’ negative emotion spreading in social networks

Du Z, Yang Y, Cai Q, Zhang C, Bai Y

Future Generations Computer Systems: FGCS (2018)

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Characterizing Human Collective Behaviors During COVID-19 - Hong Kong SAR, China, 2020

Du Z, Zhang X, Wang L, Yao S, Bai Y, Tan Q, Xu X, Pei S, Xiao J, Tsang TK, Liao Q, Lau EHY, Wu P, Gao C, Cowling BJ

China CDC Weekly (2023)

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