Professor at the Center for Computational Communication Research (Zhuhai), School of Journalism and Communication of Beijing Normal University.

Contact：

E-Mail：xuxiaoke@foxmail.com

Website：http://www.xiaokexu.com/

Profile

Dr. Xiao-Ke Xu obtained the Bachelor’s degree (2002) in Electronic and Information Engineering and PhD (2008) in Communication and Information System from Dalian Maritime University in China. Dr. Xu was the postdoctoral fellow at Hong Kong Polytechnic University and the visiting scholar at City University of Hong Kong. He got the CCF-Tencent Hornbill Research Funding and won the first prize in Alibaba Data Innovation Competition & Alibaba Young Scholars Supporting Project. Now he is a professor at the Center for Computational Communication Research (Zhuhai), School of Journalism and Communication of Beijing Normal University. He focuses his research on complex network, big data of social networks and computational communication, etc.

Reserach Interests

Computational Communication

Big Data Analysis

Social Network Analysis

Complex Networks

Social Robot

Courses Taught

Introduction to computing and communication

Introduction to network science

Social network data analysis and applications

The relationship between human and artificial intelligence

Publications

[1] Jing Xiao, Yu-Cheng Zou, and Xiao-Ke Xu*, A Metaheuristic-based Modularity Optimization Algorithm Driven by Edge Directionality for Directed Networks,  IEEE Transactions on Network Science and Engineering, 2023, Online: https://ieeexplore.ieee.org/document/10121655 (JCR Q1，IF=5.033)

[2] Dongxuan Chen#, Yiu-Chung Lau#, Xiao-Ke Xu#, Lin Wang, Zhanwei Du, Tim K. Tsang, Peng Wu, Eric H. Y. Lau, Jacco Wallinga, Benjamin J. Cowling*, Sheikh Taslim Ali, Inferring time-varying generation time, serial interval, and incubation period distributions for COVID-19, Nature Communications, 2022, 13: 7727 (JCR Q1，IF=17.694)

[3] Renmeng Cao, Xiao Fan Liu, Zhichao Fang, Xiao-Ke Xu*, Xianwen Wang*, How do scientific papers from different journal tiers gain attention on social media? Information Processing and Management, 2023, 60: 103152 (JCR Q1，IF= 7.466)

[4] Zhizheng Wang#, Xiao Fan Liu#, Zhanwei Du#, Lin Wang#*, Ye Wu, Petter Holme, Michael Lachmann, Hongfei Lin, Zoie S.Y. Wong*, Xiao-Ke Xu*, and Yuanyuan Sun*, Epidemiologic information discovery from open-access COVID-19 case reports via pretrained language model, iScience, 2022, 25(10): 105079 (JCR Q1，IF=6.107)

[5] Qing Cai#, Zhanwei Du#, Ye Wu#*, and Xiao-Ke Xu*, Rethinking Academic Conferences in the Age of Pandemic, Applied Sciences, 2022, 12:8351 (JCR Q2，IF=2.838)

[6] Ai-Wen Li, Xiao-Ke Xu*, and Ying Fan*, Immunization strategies for false information spreading on signed social networks, Chaos, Solitons and Fractals, 2022, 162:112489 (JCR Q1，IF=9.922)

[7] Dayu Wu, Ying Liu, Ming Tang⁎, Xiao-Ke Xu*, Shuguang Guan*, Impact of hopping characteristics of inter-layer commuters on epidemic spreading in multilayer networks, Chaos, Solitons and Fractals, 2022, 159:112100 (JCR Q1，IF=9.922)

[8] Xiao-Ke Xu#, Xiao Fan Liu#, Lin Wang#, Ye Wu, Xin Lu, Xianwen Wang, and Sen Pei*, Assessing spread risk of COVID-19 associated with multi-mode transportation networks in China, Fundamental Research, 2023, 3: 305-310 (ESCI)

[9] Lin Ding, Lunxiao Xie, and Xiao-Ke Xu*, Rich-Club Impact on Cascading Failures in Interdependent Power and Communication Networks, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2022, 12(1): 115-123  (JCR Q1，IF=5.877)

[10] Shuang Xu, Yijun Ran, and Xiao-Ke Xu*, Predicting Scientist Collaboration by Multiple Motif Features, IEEE Transactions on Computational Social Systems, 2022, doi: 10.1109/TCSS.2022.3144247 (JCR Q2，IF=4.747)

[11] Ren-Meng Cao, Xiao Fan Liu, and Xiao-Ke Xu*. Why cannot long-term cascade be predicted? Exploring temporal dynamics in information diffusion processes, Royal Society Open Science, 2021, 8: 202245 (JCR Q2，IF=3.653)

[12] Jing Xiao, Jiao-Yan Wang, and Xiao-Ke Xu*, Fuzzy Community Detection Based on Elite Symbiotic Organisms Search and Node Neighborhood Information, IEEE Transactions on Fuzzy Systems, 2022, 30(7): 2500-2514 (JCR Q1，IF=12.253)

[13] Hao-Chen Sun, Xiao-Fan Liu, Zhan-Wei Du, Xiao-Ke Xu*, and Ye Wu*, Mitigating COVID-19 Transmission in Schools with Digital Contact Tracing, IEEE Transactions on Computational Social Systems, 2021, 8(6): 1302-1310 (JCR Q2，IF=4.747)

[14] Renmeng Cao, Xianwen Wang*, Xiao-Ke Xu*, and Jianlin Zhou. Multiple bursts of highly retweeted articles on social media, Scientometrics, 2021, 126:5165-5179 (JCR Q2，IF=3.801)

[15] Xiao Fan Liu, Xiao-Ke Xu*, Ye Wu*, Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei province, Scientific Data, 2021, 8(1): 54 (JCR Q1，IF=8.501)

[16] Lin Zhang, Jiahua Zhu, Xuyuan Wang, Juan Yang, Xiao Fan Liu* and Xiao-Ke Xu*. Characterizing COVID-19 Transmission: Incubation Period, Reproduction Rate, and Multiple-Generation Spreading, Frontiers in Physics, 2021, 8:589963 (JCR Q2，IF=3.718)

[17] Xiao-Ke Xu#, Lin Wang#, and Sen Pei#*, Multiscale mobility explains differential associations between the gross domestic product and COVID-19 transmission in Chinese cities, Journal of Travel Medicine, 2021, 28(2): taaa236 (JCR Q1，IF=39.194) 

[18] Ai-Wen Li, Jing Xiao, and Xiao-Ke Xu*, The Family of Assortativity Coefficients in Signed Social Networks, IEEE Transactions on Computational Social Systems, 2020, 7(6): 1460-1468 (JCR Q2，IF=4.747)

[19] Bin Zhou#*, Sen Pei#*, Lev Muchnik, Xiangyi Meng, Xiao-Ke Xu, Alon Sela, Shlomo Havlin, and H. Eugene Stanley, Realistic modelling of information spread using peer-to-peer diffusion patterns, Nature Human Behaviour, 2020, 4: 1198-1207 (JCR Q1，IF=24.252)

[20] Sheikh Taslim Ali#, Lin Wang#, Eric HY Lau#, Xiao-Ke Xu, Zhanwei Du, Ye Wu, Gabriel M. Leung, and Benjamin J. Cowling*, Serial interval of SARS-CoV-2 was shortened over time by nonpharmaceutical interventions, Science, 2020, 369: 1106-1109 (JCR Q1，IF=63.714)

[21] Zhanwei Du#, Xiao-Ke Xu#, Ye Wu#, Lin Wang, Benjamin J. Cowling, and Lauren Ancel Meyers*, The serial interval of COVID-19 from publicly reported confirmed cases, Emerging Infectious Diseases. 2020, 26(6):1341-1343 (JCR Q1，IF=16.126)

[22] Si-Yuan Liu, Jing Xiao, and Xiao-Ke Xu*, Sign Prediction by Motif Naive Bayes Model in Social Networks, Information Sciences, 2020, 541: 316-331 (JCR Q1，IF=8.233)

[23] Xiao-Ke Xu#, Xiao-Fan Liu#, Ye Wu#, Sheikh Taslim Ali#, Zhanwei Du#, Paolo Bosetti, Eric H Y Lau, Benjamin J Cowling, Lin Wang*, Reconstruction of Transmission Pairs for novel Coronavirus Disease 2019 in mainland China: Estimation of Super-spreading Events, Serial Interval, and Hazard of Infection, Clinical Infectious Diseases, 2020, 71(12):3163-3167 (JCR Q1，IF=20.999) 

[24] Si-Yuan Liu, Jing Xiao, and Xiao-Ke Xu*, Link Prediction in Signed Social Networks: from Status Theory to Motif Families, IEEE Transactions on Network Science and Engineering, 2020, 7(3): 1724-1735 (JCR Q1，IF=5.033)

[25] Zhan-Wei Du#, Lin Wang#, Simon Cauchemez, Xiao-Ke Xu, Xian-Wen Wang, Benjamin J. Cowling, and Lauren Ancel Meyers*, Risk for transportation of 2019 novel coronavirus disease from Wuhan to other cities in China, Emerging Infectious Diseases, 2020, 26(5):1049-1052 (JCR Q1，IF=16.126)

[26] Jing Xiao, Chao Wang, and Xiao-Ke Xu*, Community detection based on symbiotic organisms search and neighborhood information, IEEE Transactions on Computational Social Systems, 2019, 6(6): 1257-1272 (JCR Q2，IF=4.747)

[27] Lin Ding, Si-Yuan Liu, Quan Yang, and Xiao-Ke Xu*, Uncovering the Dependence of Cascading Failures on Network Topology by Constructing Null Models, Entropy, 2019, 21: 1119 (JCR Q2，IF=2.738)

[28] Ren-Meng Cao, Si-Yuan Liu, and Xiao-Ke Xu*, Network embedding for link prediction: the pitfall and improvement, Chaos, 2019, 29(10): 103102 (JCR Q1，IF=3.741) 

 

Projects ＆ Grants

[1] 病例数据驱动的新型冠状病毒多尺度传播网络分析，国家自然科学基金委员会，国家自然科学基金面上项目，62173065, 2022/01-2025/12

[2] 复杂网络零模型的构造及应用，国家自然科学基金委员会，国家自然科学基金面上项目，61773091, 2018/01-2021/12

[3] 双层耦合社交网络的相互作用和共演化机制：基于时间序列和链路预测的方法，国家自然科学基金委员会，国家自然科学基金面上项目，61374170, 2014/01-2017/12

[4] 基于子图结构和功能的复杂网络链路预测研究，国家自然科学基金委员会，国家自然科学基金青年科学基金项目，61004104，2011/01至2013/12

[5] 时效网络的零模型构造及模体分析，辽宁省委组织部，辽宁省“兴辽英才”青年拔尖人才计划，XLYC1807106, 2019/01-2021/12

[6] 基于手机大数据的人群聚集风险预警与成因分析平台，辽宁省科学技术厅，辽宁省重点研发计划指导计划项目，2018/12-2020/12