Department of Statistics and Data Science

Yanqing Hu received his PhD degree from Beijing Normal University in 2011. He was a Postdoctoral Researcher at the Levich Institute of City University of New York, from 2011 to 2013. Currently, he is an Associate Professor at Department of Statistics and Data Science of Southern University of Science and Technology.His research interests mainly focus on using big data to explore the mechanisms inside complex systems, such as the spreading of human behavior, the resilience of brain and infrastructure networks, the network structure predictability and formation process, etc. Here is his homepage:

Personal Profile


Big data, Complex networks, Graph Neural network,social media

Publications Read More

[1]Jiarong Xie, Fanhui Meng, Jiachen Sun, Xiao Ma, Gang Yan, Yanqing Hu*, Detecting and modeling real percolation phase transition of information spreading on social media. Nature Human Behaviour (2021).

[2]Jiachen Sun, Ling Feng, Jiarong Xie, Xiao Ma, Dashun Wang & Yanqing Hu*, Revealing the predictability of intrinsic structure in complex networks. Nature Communications, 11, 574 (2020).获得 2021世界人工智能大会青年优秀论文提名奖(World Artificial Intelligence Conference Youth Outstanding Paper Nomination Award)

[3] Wei Wang, Quanhui Lui, Junhao Liang, Yanqing Hu, Tao Zhou*. Coevolution spreading in complex networks. Physics Reports (IF:28.3), j.physrep.2019.07.001,

[4] Jiachen Sun, Rui Zhang, Ling Feng, Christopher Monterola, Xiao Ma, Céline Rozenblat, H. Eugene Stanley, Boris Podobnik, Yanqing Hu*. Extreme risk induced by communities in interdependent networks. Communications Physics (Nature sister journal)2:45, (2019)

[5] Yanqing Hu*, Shenggong Ji, Yuliang , Ling , H. Eugene Stanley*, Shlomo Havlin, Local structure can identify and quantify influential global spreaders in large scale social networks, Proceedings of the National Academy of Sciences of the United States of America (IF:10)115 (29), 7468-7472,2018.

[6] Xin Yuan,Yanqing Hu*,H. Eugene Stanley*, Shlomo Havlin. Eradicating Catastrophic Collapse in Interdependent Networks via Reinforced Nodes. Proceedings of the National Academy of Sciences of the United States of America. (IF:10)114 (13) 3311-3315, 2017

[7] Saulo Reis, Yanqing Hu, Andrés Babino, Jose Andrade Jr., Santiago Canals, Mariano Sigman, and Hernan A. Makse, Avoiding catastrophic failure in correlated network of networks. Nature Physics. NPHYS3081(2014) (IF:22)

[8] Yanqing Hu, Shlomo Havlin, Hernan Makse, Conditions for Viral Influence Spreading through Multiplex Correlated Social Networks. Phys. Rev.X 4, 021031(2014).

[9] Yanqing Hu, Yougui Wang, Daqing Li, Shlomo Havlin, Zengru Di. Possible  origin for efficient navigation in small worlds. Phys. Rev. Lett. 106 , 108701 (2011)

Lab members Read More

Join us

Contact Us

Contact Address

Office Phone



Copyright © 2018 All Rights Reserved.