许小可
——
大连民族大学数据科学与大数据技术学科方向负责人
许小可
教授
个人邮箱 xuxiaoke@foxmail.com
一名北京师范大学的计算传播学学者
北京师范大学新闻传播学院/计算传播学研究中心的教授，担任中国中文信息学会社会媒体处理专业委员会常务委员、中国工业与应用数学学会复杂网络专业委员会委员、中国人工智能学会社会计算与社会智能专委会委员。
主要从事网络科学与传播学相结合的研究工作，主要研究方向为：社交机器人、计算传播、社会计算等。
曾在Science、Nature Human Behaviors、PNAS、Nature Communications等知名期刊发表学术论文百余篇。先后出版《社交网络上的计算传播学》、《计算传播学导论》等教材，个人学术专著《网络零模型构造及应用》，获国家科学技术学术著作出版基金资助。
研究内容
研究曾主要针对网络科学。目前主要致力于研究人机传播，重点的研究包括人类与智能机器系统之间的交互、协作与信息扩散机理等，旨在搭建新型网络水军的识别、分析与治理的一体化框架。同时，我们还在探索基于计算扎根的人机异质网络分析的新理论和新方法，并且通过实证案例加以验证。
英文论文
[100]Yan Wang, Mo Yang, Chuanbiao Wang*, Xiao-Ke Xu,Ming Liu, Chunzhang Miao, Information propagation dynamics on heterogeneous-homogeneous coupling bi-layer networks, Scientific Reports, 2024,14:30766 .pdf
[99]Ai-Wen Li, Ya-Fang Liu, Jian-Lin Zhou, An Zeng, Xiao-KeXu*, Ying Fan*, Dynamic immunization for disinformation spreading on signed social networks, Physica A, 2024 .pdf
[98]Huan Rong, Zhongfeng Chen*, Zhenyu Lu*, Xiao-ke Xu,Kai Huang, Victor S. Sheng, Pred-ID: Future event prediction based on event type schema mining by graph induction and deduction, Information Fusion, 2024 .pdf
[97]Shi-Yao Ma, Xiao-Ke Xu, Jing Xiao*,Privacy-Preserving Multilayer Community Detection via Federated Learning, IEEE
Transactions on Computational Social Systems, 2024 .pdf
[96]Jing Xiao, Ya-Wei Wei, Jing Cao, Xiao-Ke Xu*, Higher Order Fuzzy Membership in Motif Modularity Optimization, IEEE Transactions on Fuzzy Systems, 2024, 32(12):7143-7156 .pdf
[95]Jing Xiao, Jing Cao, and Xiao-Ke Xu*,Higher-Order Directed Community Detection by A Multiobjective Evolutionary
Framework, IEEE Transactions on Artificial Intelligence, 2024, 5(12):6536-6550 .pdf
[94]Sheikh Taslim Ali, Dongxuan Chen, Yiu-Chung Lau, Wey Wen Lim, Amy Yeung, Dillon C Adam, Eric H Y Lau, Jessica Y Wong, Jingyi Xiao,Faith Ho, Huizhi Gao, Lin Wang, Xiao-Ke Xu, Zhanwei Du, Peng Wu, Gabriel M Leung, Benjamin J Cowling, Insights into COVID-19 epidemiology and control from temporal changes in serial interval distributions in Hong Kong, American Journal of Epidemiology, 2024 .pdf
[93]Jing Xiao, Yi-Fan Guo, Yu-Qing He, Xiao-Ke Xu*,Constrained Fuzzy Community Detection by a New Modularity Optimization Framework, IEEE Transactions on Network Science and Engineering, 2024 .pdf
[92]Guojing Ren, Xiao Ding, Xiao-Ke Xu, Hai-Feng Zhang*, Link Prediction in Multilayer Networks via Cross-Network Embedding, The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 8939-8947 .pdf
[91]Yijun Ran, Xiao-Ke Xu, Tao Jia*, The maximum capability of a topological feature in link prediction, PNAS Nexus, 2024, 3: 1-10 .pdf
[90]Bo Liu, Xiao-Ke Xu∗, Linyuan Lu∗, Uncovering patterns of multichannel mobile communication, Physica A, 2024, 636: 129546 .pdf
[117]Si-Ni Su,Yu-Song Dai,Xiao-Ke Xu,Zhi-Jin Zhong*.Competition or coexistence: Diffusion network differences between entertainment events and public events on social media.Information Processing and Management,2025,62(4):104087-104087 .pdf
[116]Xiao Jing, Zi-Zheng Dang, Zhi-Xiang Yang, Xiao-Ke Xu*. Higher order local search assisted community detection in signed networks. IEEE Transactions on Computational Social Systems, 2025 .pdf
[115]Shao-Long Liu,Tang Sui,Shuang Xu, Xiao-Ke Xu,Giuseppe Milano,Ying Zhao*,You-Liang Zhu*, Bao-Sheng Cao*.Strategic Regulation of Carbon Nanotube Dispersion with Triblock Copolymer Phase Domains: Insights from Molecular Simulations.Chinese Journal of Polymer Science,2025,43(3):1-16 .pdf
[114]Lin Ding, Zi-Kang Xu, Xiao-Ke Xu*. Impact analysis of inter-network degree correlation on cascading failures in cyber-physical systems. ACM Transactions on Cyber-Physical Systems, 2025, 9(2): 1-21 .pdf
[113]Ai-Wen Li ,Jun-Lin Lu ,Ying Fan*, Xiao-Ke Xu*.SNSAlib: A python library for analyzing signed network.Chinese Physics B,2025,34(3):038902-038902 .pdf
[112]Xiao Jing,Yu-Cheng Zou, Xiao-Ke Xu*. Higher-order community detection by motif-based modularity optimization. IEEE Transactions on Big Data, 2025 .pdf
[111]Jian-Bo Wang*, Hao-Xing He,Ping Li,Zhan-Wei Du, Xiao-Ke Xu*. Epidemic spread dynamics in multilayer networks: Probing the impact of information outbreaks and reception games. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2025, 35(3) .pdf
[110]Yi-Ming Du, Zhuo-Tian Li, Qian He, Thomas Wetere Tulu, Kei Hang Katie Chan, Lin Wang, Sen Pei, Zhanwei Du, Zhen Wang, Xiao-Ke Xu*, Xiao Fan Liu*. DPCIPI: A pre-trained deep learning model for predicting cross-immunity between drifted strains of Influenza A/H3N2. Journal of Automation and Intelligence, 2025, 4(2): 115-124 .pdf
[109]Jian-Bo Wang, Yu Luo, Zhan-wei Du, Ping Li, Xiao-Ke Xu*. CWIIIF: A novel algorithm for identifying influential nodes in multilayer networks. IEEE Transactions on Computational Social Systems, 2025 .pdf
[108]Jing Xiao, Zhi-Wei Ma, Jing Cao, Xiao-Ke Xu*. Hypergraph community detection with fuzzy memberships. IEEE Transactions on Fuzzy Systems, 2025 .pdf
[107]Jian-Bo Wang*, Bo-Hang Lin, Zhan-Wei Du, Ping Li, Xiao-Ke Xu*. Six-degree gravity centrality for detecting influential nodes in networks. Chinese Physics B, 2025, 34(8): 088902 .pdf
[106]Tang Sui, Shang-Long Liu, Bi-Hui Cong, Xiao-Ke Xu, Dong-Jing Shan, Giuseppe Milano, Ying Zhao*, Shuang Xu*, Jia-Shun Mao*. Graph attention networks decode conductive network mechanism and accelerate design of polymer nanocomposites. npj Computational Materials, 2025, 11(1): 280 .pdf
[105]Wei-Wen Jia, Bin Zhou, Xin Lu*, Xiao-Ke Xu*. Multidimensional social signature de-anonymizes low-sensitivity data. Scientific Reports, 2025, 15(1): 31916 .pdf
[104]Jia-Xuan Xia, Wei-Wen Jia, Ping Li, Xiao-Ke Xu*. Propagation Motifs as Codewords for Fake News Detection. IEEE Transactions on Computational Social Systems, 2025 .pdf
[103]Yi-Jun Ran, Si-Yuan Liu ,Jun-Jie Huang, Tao Jia, Xiao-Ke Xu*.A generalized motif-based Naïve Bayes model for sign prediction in complex networks.Physica A: Statistical Mechanics and its Applications,2026,681131096-131096 .pdf
[102]Ran-Yi Jun, Jing-Jing Xiao, Xiao-Ke Xu*. Identifying Social Bots via Heterogeneous Motifs Based on Naïve Bayes Model. IEEE Transactions on Information Forensics and Security, 2025, 20: 12754-12766 .pdf
[101]Pei-Chao Tang, Jian-Bo Wang*, Xu-Xiao Ke, Feng Shi*, Ping Li, Yuan Bai, Zhan-Wei Du*. Observer-free source detection in temporal networks with graph neural networks. Physica A: Statistical Mechanics and its Applications, 2025: 131199 .pdf
2024
2025
2026
[89]Sheng-yue Jiang, Xiao-Ke Xu, Jing Xiao*, Link Prediction by Combining Local Structure Similarity With Node Behavior Synchronization, IEEE Transactions on Computational Social Systems, 2023 .pdf
[88]Jingyi Liao,Xiao Fan Liu, Xiao-Ke Xu, and Tao Zhou *, COVID-19 spreading patterns in family clusters reveal gender roles in China, Journal of The Royal Society Interface, 2023, 20(209): 20230336 .pdf
[87]Zeyu Wang, Jinhuan Wang, Yalu Shan, Shanqing Yu,Xiaoke Xu, Qi Xuan*, Guanrong Chen, Null Model-Based Data Augmentation for Graph Classification,IEEE Transactions on Network Science and Engineering, 2023, doi: 10.1109/TNSE.2023.3332499 .pdf
[86]Jing Xiao, Xiao-Ke Xu*, Community detection from fuzzy and higher-order perspectives, Europhysics Letters, 2023, 144:11003 .pdf
[85]Jianbo Wang, Zhanwei Du, Hui-Jia Li, Lei Wang, Xiao-Ke Xu, Zhen Wang, Lin Wang*, and Xiang Li*, Perspective on the spatio-temporal spread of epidemics in metapopulation networks, Europhysics Letters, 2023, 144: 11001 .pdf
[83]He Y J, Xu X K, Xiao J. Predicting higher order links in social interaction networks. IEEE Transactions on Computational Social Systems, 2023, 11(2): 2796-2806 .pdf
[82]Sun H C, Pei S, Wang L, et al. The impact of Spring Festival travel on epidemic spreading in China[J]. Viruses, 2023, 15(7): 1527.pdf
[81]Wang Z, Liu X F, Du Z, et al. Protocol for the automatic extraction of epidemiological information via a pre-trained language model. STAR protocols, 2023, 4(3): 102392.pdf
[80]Liu X F, Wang Z Z, Xu X K, et al. The shock, the coping, the resilience: smartphone application use reveals Covid-19 lockdown effects on human behaviors. EPJ Data Science, 2023,12(1): 1-13 .pdf
[79]Xiao J, Zou Y C, Xu X K. A metaheuristic-based modularity optimization algorithm driven by edge directionality for directed networks. IEEE Transactions on Network Science and Engineering, 2023, 10(6): 3804-3817 .pdf
[78]Du Z, Zhang X, Wang L, et al. Characterizing human collective behaviors during COVID-19—Hong Kong SAR,China, 2020. China CDC weekly, 2023, 5(4): 71 .pdf
[77]Fu C, Pan X, Liang X, et al. Feature drift in fake news detection: an interpretable analysis. Applied Sciences, 2023, 13(1): 592 .pdf
2023
[76]Chen D, Lau Y C, Xu X K, et al. Inferring time-varying generation time, serial interval, and incubation period distributions for COVID-19. Nature communications, 2022, 13(1): 772 .pdf
[75]Ali S T, Lau Y C, Shan S, et al. Prediction of upcoming global infection burden of influenza seasons after relaxation of public health and social measures during the COVID-19 pandemic: a modelling study. The Lancet Global Health, 2022,10(11): e1612-e1622 .pdf
[74]Cao R, Liu X F, Fang Z, et al. How do scientific papers from different journal tiers gain attention on social media?. Information Processing & Management, 2023, 60(1): 103152 .pdf
[73]Wang Z, Liu X F, Du Z, et al. Epidemiologic information discovery from open-access COVID-19 case reports via pretrained language model. IScience, 2022, 25(10) .pdf
[72]Cai Q, Du Z, Wu Y, et al. Rethinking academic conferences in the age of pandemic. Applied Sciences, 2022,12(16): 8351 .pdf
[71]Li A W, Xu X K, Fan Y. Immunization strategies for false information spreading on signed social networks.Chaos, Solitons & Fractals, 2022, 162: 112489 .pdf
[70]Ran Y, Liu T, Jia T, et al. A novel similarity measure for mining missing links in long-path networks. Chinese Physics B, 2022, 31(6): 068902 .pdf
[69]Wu D, Liu Y, Tang M, et al. Impact of hopping characteristics of inter-layer commuters on epidemic spreading in multilayer networks. Chaos, Solitons & Fractals, 2022, 159: 112100 .pdf
[68]Xu X K, Liu X F, Wang L, et al. Assessing the spread risk of 1 COVID-19 associated with multi-mode transportation networks in China, Fundam. 2 Res.(2022) .pdf
[67]Sun H, Liu X, Du Z, et al. Heterogeneous influence of individuals’ behavior on mask efficacy in gathering environments. Frontiers of Engineering Management, 2022, 9(4): 550-562 .pdf
[66]Liu C, Xu L, Bai Y, et al. Local Surveillance of the COVID-19 Outbreak. Frontiers in Physics, 2022, 10: 824369 .pdf
[65]Ding L, Xie L, Xu X K. 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 .pdf
[64]Du Z, Liu C, Wang C, et al. Reproduction numbers of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants: a systematic review and meta-analysis. Clinical Infectious Diseases, 2022, 75(1): e293-e295.pdf
[63]Liu S Y, Xiao J, Xu X K. Improving sign prediction of network embedding by adding motif features. Physica A: Statistical Mechanics and its Applications, 2022, 593: 126966 .pdf
[62]Xu M, Du Z, Shan S, et al. RiskEstim: a software package to quantify COVID-19 importation risk. Frontiers in Physics, 2022, 10: 835992 .pdf
[61]Xu S, Ran Y, Xu X K. Predicting scientist collaboration by multiple motif features. IEEE Transactions on Computational Social Systems, 2022, 10(4): 1826-1834 .pdf
[60]Cao R , Geng Y , Xu X ,et al.How does duplicate tweeting boost social media exposure to scholarly articles?.Journal of Informetrics, 2022, 16 .pdf
2022
[59]Hong Z , Wen J , Jie Z ,et al.Nodal Memberships to Communities of Functional Brain Networks Reveal Functional Flexibility and Individualized Connectome.Cerebral Cortex, 2021(11):11. .pdf
[58]Xiao J , Wang Y J , Xu X K .Fuzzy Community Detection Based on Elite Symbiotic Organisms Search and Node Neighborhood Information.Fuzzy Systems, IEEE Trans. on (T-FUZZ), 2022, 30(7):15 .pdf
[57]Ali ST, Yeung A, Shan S, Wang L, Gao H, Du Z,Xu XK, Wu P, Lau EHY, Cowling BJ. Serial Intervals and Case Isolation Delays for Coronavirus Disease 2019: A Systematic Review and Meta-Analysis. Clin Infect Dis. 2022 Mar 1;74(4):685-694 .pdf
[56]Sun H C , Liu X F , Du Z W ,et al.Mitigating COVID-19 Transmission in Schools With Digital Contact Tracing.IEEE Transactions on Computational Social Systems, 2021, PP(99):1-9 .pdf
[55]Cao R , Wang X , Xu X ,et al.Multiple bursts of highly retweeted articles on social media.Scientometrics, 2021 .pdf
[54]Liu X F , Xu X K , Wu Y .Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei province.Scientific Data, 2021, 8(1):54 .pdf
[53]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 .pdf
[52]Xiao-Ke Xu#, Lin Wang#, Sen Pei#*, Multiscale mobility explains differential associations between the gross domestic product and COVID-19 transmission in Chinese cities, Journal of Travel Medicine, 2021, taaa236 .pdf
[123]Peihua Wang*, Xianwen Wang, Wenyi Zhang, Yong Wang, Sen Pei, Xiao-Ke Xu, Wan Yang*, Rural-to-urban migrant worker mobility shaped measles epidemics in China, PLOS Computational Biology, 2026, 22(4): e1014182 .pdf
[122]Xiaowei Zhao, Liping Du, Wenhui Deng, Xiaoke Xu, Mengqiao Xu*, Forecasting link disappearance of global liner shipping network using motif structures and explainable machine learning method, Physica A, 2026, 692: 131533 .pdf
[121]Jia-Xuan Xia, Wei-Wen Jia, Ping Li*, and Xiao-Ke Xu*, MSTD: A Joint Structural–Temporal Framework for Fake News Detection, IEEE Transactions on Computational Social Systems, 2026, doi: 10.1109/TCSS.2026.3674080 .pdf
[120]Jianbo Wang*, Member, IEEE, Jialong Chen, Ping Li, Zhanwei Du, and Xiao-Ke Xu*, Detecting Social Bots via Multi-Motif Attention Fusion Network, IEEE Transactions on Computational Social Systems, 2026, doi: 10.1109/TCSS.2026.3668220 .pdf
[119]Hongling Pan, Yanbin Kuang, Yushu Chen*, Ying Liu, Xiao-Ke Xu, Ming Tang*, Impacts of inter-layer correlations on network structures and spreading dynamics, Information Sciences, 2026, 742: 123335 .pdf
[118]Jing Xiao, Zhi-Wei Ma, Jing Cao, Xiao-Ke Xu*, Hypergraph Community Detection Based on Higher-Order Topology and Information Flow, IEEE Transactions on Computational Social Systems, 2026, doi: 10.1109/TCSS.2026.3655885 .pdf
2021
[51]Zhenzhen Liu; Xiao-Ke Xu*; Jianyun Zhou; Quantitative effects of network connectivity on epidemics, International Journal of Modern Physics B, 2020, 34(28)：2050262 .pdf
[50]Daihai He, Shi Zhao, Xiao-Ke Xu, Qiangying Lin, Zian Zhuang, Peihua Cao, Maggie H. Wang, Yijun Lou, Li Xiao, Ye Wu*, Lin Yang*. Low dispersion in the infectiousness of COVID-19 cases implies difficulty n control, BMC Public Health, 2020, 20: 1558 .pdf
[49]Ai-Wen Li, Jing Xiao, Xiao-Ke Xu*; The Family of Assortativity Coefficients in Signed Social Networks, IEEE Transactions on Computational Social Systems,2020, 7(6): 1460-1468 .pdf
[48]Du Z , Xu X , Wang L ,et al.Effects of proactive social distancing on COVID-19 outbreaks in 58 cities, China[J].Emerging Infectious Diseases, 2020, 26(9).DOI:10.3201/eid2609.201932 .pdf
[47]Bin Zhou#*, Sen Pei#*, Lev Muchnik, Xiangyi Meng, Xiaoke Xu, Alon Sela, Shlomo Havlin, and H. Eugene Stanley, Realistic modelling of information spread using peer-to-peer diffusion patterns, Nature Human Behaviou 2020, 4: 1198-1207 .pdf
[46]Sheikh Taslim Ali#, Lin Wang#, Eric HY Lau#, Xiao-Ke Xu, Zhanwei Du, Ye Wu, Gabriel M. Leung, Benjamin J. Cowling*, Evolution of effective serial interval of SARS-CoV-2 by non-pharmaceutical interventions, Science, 2020, 369: 1106-1109 .pdf
[45]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 (COVID-19) in mainland China: Estimation of Super-spreading Events, Serial Interval, and Hazard of Infection, Clinical Infectious Diseases, 2020, 71(12):3163-3167 .pdf
[44]Zhanwei Du#, Xiaoke 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 .pdf
[43]Si-Yuan Liu, Jing Xiao, Xiao-Ke Xu*, Sign Prediction by Motif Naive Bayes Model in Social Networks, Information Sciences, 2020, 541: 316-331 .pdf
[42]Xiao-Ke Xu*, Ke-ke Shang, Jing Xiao, Quantifying the Effect of Community Structures for Link Prediction by Constructing Null Models, IEEE Access,2020.05.08, 8：89269-89280 .pdf
[41]Jing Xiao, Hong-Fei Ren, and Xiao-Ke Xu*. Constructing Real-Life Benchmarks for Community Detection by Rewiring Edges, Complexity, 2020.04.07, 2020, 709623 .pdf
[40]Zhanwei Du#, Lin Wang#, Simon Cauchemez, Xiaoke Xu, Xianwen 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. 2020.05, 26(5):1049-1052 .pdf
2020
[39]Ya-Fang Liu, Ting Li, and Xiao-Ke Xu* , Link Prediction by Multiple Motifs in Directed Networks, IEEE Access, 2019.12.23, 8: 174--183 .pdf
[38]Jing Xiao, Chao Wang, and Xiao-Ke Xu*, Community detection based on symbiotic organisms search and neighborhood information, IEEE Transactions on Computational Social Systems, 2019.12.01, 6(6): 1257--1272 .pdf
[37]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,2019.12, 7(3): 1724-1725 .pdf
[36]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, 2019.11.15, 21: 1119 .pdf
[35]Ren-Meng Cao, Si-Yuan Liu, Xiao-Ke Xu*, Network embedding for link prediction: the pitfall and improvement, Chaos, 2019.10.8, 29(10): 103102 .pdf
[34]Wen-Kuo Cui, Jing Xiao, Ting Li, and Xiao-Ke Xu*, Uncovering offline event similarity of online friends by constructing null models, Chinese Physics B, 2019.05.08, 28(6): 068901 .pdf
[33]Bin Zhou*, Xiao-Ting Xu, Jian-Guo Liu, Xiao-Ke Xu, Nianxin Wang, Information interaction model for the mobile communication networks, Physica A: Statistical Mechanics and Its Applications,2019.04.08, 525: 170--1176 .pdf
2019
[32]Wen-Kuo Cui, Ke-Ke Shang, Yong-Jian Zhang, Jing Xiao, Xiao-Ke Xu*, Constructing null networks for community detection in complex networks, The European Physical Journal B (EPJB), 2018.07.01, 91: 145 .pdf
[31]Bo Liu, Shuang Xu, Ting Li, Jing Xiao, Xiao-Ke Xu*, Quantifying the Effects of Topology and Weight for Link Prediction in Weighted Complex Networks, Entropy, 2018.05.30, 20(5): 363 .pdf
[30]Bin Zhou, Xiao-Yong Yan, Xiao-Ke Xu*, Xiao-Ting Xu, Nianxin Wang, Evolutionary of online social networks driven by Pareto wealth distribution and bidirectional preferential attachment, Physica A: Statistical Mechanics and Its Applications, 2018.05.26, 507: 427—434 .pdf
[29]Xiao-Ke Xu, Xue Wang, Jing Xiao*, Inferring Parent-child Relationships by a node-remove centrality framework in Online Social Networks, Physica A: Statistical Mechanics and Its Applications, 2018.3.29, 505: 222—232 .pdf
[28]Jing Xiao, Yong-Jian Zhang, Xiao-Ke Xu*, Convergence Improvement of Differential Evolution for Community Detection in Complex Networks, Physica A: Statistical Mechanics and Its Applications, 2018.02.22, 503: 762—779 .pdf
[27]Yang Xin, Lingshuang Kong, Zhi Liu, Chunhua Wang, Hongliang Zhu, Mingcheng Gao, Chensu Zhao, Xiao-Ke Xu*, Multimodal Feature-level Fusion for Biometrics Identification System on IoMT Platform, IEEE Access,2018.03.13, 6: 21418 .pdf
2018
others
[26]Ke-ke Shang, Michael Small, Xiao-Ke Xu, Wei-Sheng Yan, The role of direct links for link prediction in evolving networks, Europhysics Letters, 2017.02.16, 117, 28002 (2017). pdf
[25]Xiao-Ke Xu, Jonathan J.H. Zhu, Flexible sampling large-scale social networks by self-adjustable random walk, Physica A: Statistical Mechanics and Its Applications, 2016.07.26, 463: 356--365. pdf
[24]Ju Xiang, Tao Hu, Yan Zhang, Ke Hu, Jian-Ming Li, Xiao-Ke Xu, Cui-Cui Liu, Shi Chen, Local modularity for community detection in complex networks, Physica A: Statistical Mechanics and Its Applications, 2016.02.01, 443: 451--459. pdf
[23]Qian-Ming Zhang, Xiao-Ke Xu, Yu-Xiao Zhu, Tao Zhou*, Measuring multiple evolution mechanisms of complex networks, Scientific Reports, 2015.06.11, 5: 10350. pdf
[22]Ke-Ke Shang, Wei-Sheng Yan, Xiao-Ke Xu, Limitation of degree information for analyzing the interaction evolution in online social networks, International Journal of Modern Physics C, 2014.04.21, 25(10): 1450056. pdf
[21]Ke Hu, Ju Xian, Xiao-Ke Xu, Hui-Jia Li, Wan-Chun Yang, Yi Tang*, Predicting the growth of new links by new preferential attachment similarity indices, Pramana - Journal of Physics, 2014.03.01, 82(3): 571--583. pdf
[20]Hai-Feng Zhang, Zhi-Xi Wu, Xiao-Ke Xu, Michael Small, Lin Wang, Bing-Hong Wang, Impacts of subsidy policies on vaccination decisions in contact networks, Physical Review E, 2013.07.18, 88(1): 012813. pdf
[19]Ping Li, Kai Zhang, Xiao-Ke Xu, Jie Zhang, Michael Small, Reexamination of explosive synchronization in scale-free networks: The effect of disassortativity, Physical Review E, 2013.04.03, 87(4): 042803. pdf
[18]Graciano Dieck Kattas, F. Javier Perez-Barberia, Michael Small, Xiao-Ke Xu, David M. Walker, Unraveling complexity in interspecies interaction through nonlinear dynamical models, Acta Ethologica, 2013.02.01, 16(1): 21--30. pdf
[17]Graciano Dieck Kattas, Xiao-Ke Xu*, Michael Small, Generating self-organizing collective behavior using separation dynamics from experimental data, Chaos, 2012.09.01, 22(3): 033113. pdf
[16]Ping Li, Jie Zhang, Xiao-Ke Xu*, Small, Michael, Dynamical Influence of Nodes Revisited: A Markov Chain Analysis of Epidemic Process on Networks, Chinese Physics Letters, 2012.4.01, 29(4): 048903. pdf
[15]Graciano Dieck Kattas, Xiao-Ke Xu*, Michael Small*, Dynamical Modeling of Collective Behavior from Pigeon Flight Data: Flock Cohesion and Dispersion, Chaos, 2012.03.01, 22(1): 013107. pdf
[14]Ruoxi Xiang, Jie Zhang, Xiao-Ke Xu, Michael Small, Multiscale characterization of recurrence-based phase space networks constructed from time series, Chaos, 2012.03.01, 22(1): 013107. pdf
[13]Xiao-Ke Xu, Graciano Dieck Kattas, Michael Small, Reciprocal relationships in collective flights of homing pigeons, Physical Review E, 2012.02.27, 85(2): 026120. pdf
[12]Xiao-Ke Xu, Jie Zhang, Ping Li, Michael Small, Changing motif distributions in complex networks by manipulating rich-club connections, Physica A: Statistical Mechanics and Its Applications, 2011.11.01, 390(23-24): 4621—4626. pdf
[11]Xiao-Fan Liu, Xiao-Ke Xu, Michael Small, Chi K. Tse, Attack Resilience of the Evolving Scientific Collaboration Network, PLos One, 2011.10.14, 6(10): e26271. pdf
[10]Jie Zhang, Xiao-Ke Xu, Ping Li, Kai Zhang, Michael Small, Node importance for dynamical process on networks: A multiscale characterization, Chaos, 2011.03.01, 21(1): 016107. pdf
[9]Xiao-Ke Xu, Jie Zhang, Michael Small, Rich-club connectivity dominates assortativity and transitivity of complex networks, Physical Review E, 2010.10.25, 82(4): 046117. pdf
[8]Jie Zhang, Changsong Zhou, Xiao-Ke Xu, Michael Small, Mapping from structure to dynamics: A unified view of dynamical processes on networks, Physical Review E, 2010.08.27, 82(2): 026116. pdf
[7]Xiao-Ke Xu, Low Observable Targets Detection by Joint Fractal Properties of Sea Clutter: An Experimental Study of IPIX OHGR Datasets, IEEE Transactions on Antennas and Propagation, 2010.04.01, 58(4):1425-1429. pdf
[6]Jie Zhang, Kai Zhang, Xiao-Ke Xu, Chi K. Tse, Michael Small, Seeding the Kernels in graphs: toward multi-resolution community analysis, New Journal of Physics, 2009.11.02, 11: 113003. pdf
[5]Xiao-Ke Xu, Jie Zhang, Junfeng Sun, Michael Small, Revising the simple measures of assortativity in complex networks, Physical Review E, 2009.11.01, 80(5): 056106. pdf
[4]Xiao-Ke Xu, Jie Zhang, Michael Small*, Superfamily phenomena and motifs of networks induced from time series, Proceedings of the National Academy of Sciences of the United States of America, 2008.12.16, 105(50): 19601—19605. pdf
[3]Jin Zhou, Xiao-Ke Xu, Jie Zhang, Junfeng Sun, Michael Small, Jun-An Lu, Generating an assortative network with a given degree distribution, International Journal of Bifurcation and Chaos, 2008.11.01, 18(11): 3495—3502. pdf
[2]Michael Small, Xiao-Ke Xu, Jin Zhou, Jie Zhang, Junfeng Sun, Jun-an Lu, Scale-free networks which are highly assortative but not small world, Physical Review E, 2008.06.01, 77(6): 066112. pdf
[1]Junfeng Sun, Jie Zhang, Jin Zhou, Xiao-Ke Xu, Michael Small, Detecting phase synchronization in noisy data from coupled chaotic oscillators, Physical Review E, 2008.04.01, 77(4): 046213. pdf
中文论文
[55]王建波*, 刘江华, 杜占玮*, 李平, 许小可*.基于节点中心性排序和交替乘子法的网络重构[J].中国科学:信息科学,2025,55(04):949-966 .pdf
[54]徐文娟, 杨智翔, 许小可*.一种面向符号网络社区检测攻击的新算法[J].指挥与控制学报,2025,11(01):69-78 .pdf
[53]肖晶晶, 冉义军, 许小可*.基于异质模体特征的社交机器人识别[J].电子科技大学学报,2025,54(03):424-431 .pdf
[52]焦然, 许小可*.呼吸道传染病聚集性疫情的传播网络分析[J].复杂系统与复杂性科学,2025,22(03):11-16 .pdf
[51]曹仁猛, 许小可, 王贤文*.科学推文的文本属性特征及其对科学论文的级联演化趋势分析[J].情报学报,2025,44(10):1259-1271 .pdf
2024
2025
2026
[46]罗余, 王建波*, 李平, 杜占玮, 许小可*. 基于多阶邻居传播度量和拓扑特征的高影响力节点识别[J]. 中国科学: 信息科学 .pdf
[44]阳成,王建波*,许小可, 杜占玮. 基于反向感染的复合种群网络传播溯源算法[J]. 计算机应用研究, 2023, 40 (09): 2681-2687 .pdf
[43]肖婧,邹雨承,吴双,许小可*. 基于模体的模块度优化高阶社区检测算法[J]. 电子科技大学学报,2023,52(04):631-640 .pdf
[42]杨智翔,许小可,肖婧*. 基于高阶信息局部策略的符号网络社区检测[J]. 西南大学学报(自然科学版),2023,45(08):31-47 .pdf
[41]崔允松,吴晔,许小可*. 网络结构影响传播效果的解耦分析[J]. 计算机科学,2023,50(07):368-375 .pdf
[40]张洪忠,黄民烈,张伟男,沈菲,周葆华,邹军,钟智锦,闵勇,吴晔,许小可. ChatGPT的技术逻辑、社会影响与传播学未来[J]. 江西师范大学学报哲学社会科学版),2023,56(02):24-31 .pdf
[39]钟智锦,周金金,徐铭达,缪旭,许小可*. 娱乐信息与公共信息的扩散竞争：网络结构和传播主体视角[J]. 新闻与传播研究,2023,30(03):88-107+128 .pdf
[38]于运铎,徐铭达,许小可.基于多尺度时效模体度的虚假信息传播机制[J].电子科技大学学报, 2023, 52(1):154-160 .pdf
[37]沈力峰,王建波*,杜占玮,许小可*. 基于社团结构和活跃性驱动的双层网络传播动力学[J]. 物理学报,2023,72(06):356-364 .pdf
2023
2022
[32]乔玉为,钟智锦,许小可,等.突发事件舆论中的情绪极性与传染模式:社会网络分析视角[J].吉首大学学报:社会科学版, 2021, 42(6):12 .pdf
[31]杨晨,文成,许小可.新冠肺炎疫情对民族地区人口流动的影响[J].电子科技大学学报, 2021, 50(6):938-946 .pdf
[30]徐铭达,张子柯,许小可.基于模体度的社交网络虚假信息传播机制研究[J].计算机研究与发展, 2021, 58(7):11 .pdf
[29]柳娟,许爽,田文灿,许小可等.基于论文作者署名位置的广义"陪护人效应"检测[J].电子科技大学学报, 2021, 50(3):9 .pdf
[28]王曦,许爽,许小可.融合用户行为同步指标的链路预测研究[J].电子科技大学学报, 2021 .pdf
[27]刘肖凡,吴晔,许小可.融媒体环境下的受众计算:途径与挑战[J]. 2021 .pdf
[26]王国强,张烁,杨俊元,许小可.耦合不同年龄层接触模式的新冠肺炎传播模型[J].物理学报, 2021 .pdf
2021
2020
[17]许小可*,崔文阔,崔丽艳,肖婧,尚可可. 无权网络零模型的构造及应用. 电子科技大学学报,2019,48(01):122-141 .pdf
2019
其余时间
[16]许小可,耿雪娜,王雪.参照零模型的符号社交网络理论研究[J].科技导报, 2018, 36(8):9 .pdf
[15]贺建，许小可.过程详细数据的高斯机器学习模型研究进展，中国人工智能学会，学会通讯，2017.12,37-42 .pdf
[14]肖婧,张永建,许小可*.复杂网络重叠社区检测研究进展. 复杂系统与复杂性科学，2017,14(03):8-29 .pdf
[13]崔丽艳，许小可*。参照零模型的网络结构相关性检测。科技导报,2017,35(14):63-74 .pdf
[12]免亚男，刘德然，许小可*。基于彩色电子分析的实时性音乐推荐系统设计。大连民族大学学报,2017,19(01):76-79 .pdf
[11]冉义军，免亚男，许爽，许小可*。基于完全关系网络的QQ群意见发现。计算机应用研究,2017,34(10):2993-2996 .pdf
[10]尚可可,许小可.基于置乱算法的复杂网络零模型构造及其应用[J].电子科技大学学报, 2014, 43(1):14 .pdf
[9]许小可*,许爽,朱郁筱,张千明.. 复杂系统与复杂性科学，2014,11(01):41-47 .pdf
[8]许小可*，张海峰，方锦清。基于复杂网络理论的影响因素研究.复杂系统与复杂性科学，2014,11(01):87-94 .pdf
[7]周涛*,张子柯,陈关荣,汪小帆,史定华,狄增如,樊瑛,方锦清,韩筱璞,刘建国,刘润然,刘宗华,刘润然,吕金虎,吕琳媛,智海,汪秉宏,许小君,章忠志.网络研究的或许与挑战.电子科技大学学报,2014,43(01):1-5 .pdf
[6]尚可可,许小可*.基于置乱算法的复杂网络模型构造及其本期《复杂性科学》专栏评述.电子科技大学学报,2014,43(01):7-20 .pdf
[5]许小可,许爽,朱郁筱,等.复杂网络中链路的可预测性[J].复杂系统与复杂性科学, 2014, 11(1):7 .pdf
[4]方锦清,许小可,张海峰.基于复杂网络理论的肥胖症影响因素研究[J].中国原子能科学研究院年报, 2013(1):1 .pdf
[2]姚尊强,尚可可,许小可.加权网络的常用统计量[J].上海理工大学学报, 2012, 34(1):9 .pdf
出版书籍/主持科研项目
[1]网络零模型构造及应用 许小可 高等教育出版社
[2]差分进化算法及其高维多目标优化应用 肖婧 许小可 张永健 刘丹凤 人民邮电出版社
[3]计算传播学导论 张伦 王成军 许小可 北京师范大学出版社
[4]社交网络上的计算传播学 许小可 胡海波 张伦 王成军 高等教育出版社
[1] 基于个体图元表征与群体社区发现的社交机器人双尺度检测研究，国家自然科学基金委员会, 面上项目, 62573061, 2026/01-2029/12
[2] 基于数字跟踪技术与时效网络理论的传染病精准干预研究, 国家自然科学基金委员会, 国际合作与交流项目, W2523066, 2025/08-2025/12
[3] 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, 面上项目, 62173065, 2022/01-2025/12
[4] 复杂网络零模型的构造及应用, 国家自然科学基金委员会, 面上项目, 61773091, 2018/01-2021/12
[5] 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, 面上项目, 61374170, 2014/01-2017/12
[6] 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, 青年科学基金项目, 61004104, 2011/01至2013/12
出版书籍
科研项目
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