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
I am a Professor at the School of Journalism and Communication and the Research Center for Computational Communication, Beijing Normal University. I serve as an Executive Committee Member of the Social Media Processing Professional Committee of the Chinese Information Processing Society of China, a Committee Member of the Complex Network Professional Committee of the China Society for Industrial and Applied Mathematics, and a Committee Member of the Social Computing and Social Intelligence Professional Committee of the Chinese Association for Artificial Intelligence.
I have published more than 100 academic papers in leading journals such as Science, Nature Human Behaviour, PNAS, and Nature Communications. I have also authored the textbooks Computational Communication on Social Networks and Introduction to Computational Communication, as well as the monograph Network Null-Model Construction and Applications, which was supported by the National Science and Technology Academic Publishing Fund.
My research integrates network science with communication studies, focusing on social bots, computational communication, and social computing.
I have led industry-university-research initiatives such as the Alibaba Data Innovation Competition & Young Scholars Support Program, the CCF-Tencent "Rhino-Bird" Research Fund, and the Big-Model Interdisciplinary Fund of the Chinese Information Processing Society of China (CIPS) jointly launched with Zhipu AI. I have been selected for a succession of talent programs: Dalian “Young Star of Science and Technology”, the "Innovative Talents Support Program for Higher Education Institutions" of Liaoning Province, the"Leading Talents" Program of the National Ethnic Affairs Commission, the “Xing-Liao Talents Program” for top young researchers, and the “Hundred-Talent Level” of Liaoning Province's “Million-Ten Thousand-Hundred Talent Project”.
I am a computational communication scientist at Beijing Normal University.
Xiaoke Xu
Professor
Research
My earlier work centred on network science; at present I devote myself to human–machine communication. The core of my current agenda is to dissect the mechanisms of interaction, collaboration and information diffusion between humans and intelligent machine systems, with the overarching goal of building an integrated framework for the detection, analysis and governance of next-generation cyber-troops. In parallel, my group is crafting novel theories and computational-grounded methodologies for heterogeneous human–machine networks, and validating them through large-scale empirical cases.
English paper
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
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, https://doi.org/10.1016/j.physa.2024.130321 .pdf
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,https://doi.org/10.1016/j.inffus.2024.102819 .pdf
Shi-Yao Ma, Xiao-Ke Xu, Jing Xiao*,Privacy-Preserving Multilayer Community Detection via Federated Learning, IEEE
Transactions on Computational Social Systems, 2024, doi:10.1109/TCSS.2024.3493967 .pdf
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
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
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, https://doi.org/10.1093/aje/kwae220 .pdf
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, doi:10.1109/TNSE.2024.3420911 .pdf
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
Yijun Ran, Xiao-Ke Xu, Tao Jia*, The maximum capability of a topological feature in link prediction, PNAS Nexus, 2024, 3: 1-10 .pdf
Bo Liu, Xiao-Ke Xu∗, Linyuan Lu∗, Uncovering patterns of multichannel mobile communication, Physica A, 2024, 636: 129546 .pdf
2024
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, doi: 10.1109/TCSS.2023.3335295
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
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
Jing Xiao, Xiao-Ke Xu*, Community detection from fuzzy and higher-order perspectives, Europhysics Letters, 2023, 144:11003 .pdf
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
He Y J, Xu X K, Xiao J. Predicting higher order links in social interaction networks[J]. IEEE Transactions on Computational Social Systems, 2023, 11(2): 2796-2806 .pdf
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
Wang Z, Liu X F, Du Z, et al. Protocol for the automatic extraction of epidemiological information via a pre-trained language model[J]. STAR protocols, 2023, 4(3): 102392.pdf
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[J]. EPJ Data Science, 2023,12(1): 1-13 .pdf
Xiao J, Zou Y C, Xu X K. A metaheuristic-based modularity optimization algorithm driven by edge directionality for directed networks[J]. IEEE Transactions on Network Science and Engineering, 2023, 10(6): 3804-3817 .pdf
Du Z, Zhang X, Wang L, et al. Characterizing human collective behaviors during COVID-19—Hong Kong SAR,China, 2020[J]. China CDC weekly, 2023, 5(4): 71 .pdf
Fu C, Pan X, Liang X, et al. Feature drift in fake news detection: an interpretable analysis[J]. Applied Sciences, 2023, 13(1): 592 .pdf
2023
Chen D, Lau Y C, Xu X K, et al. Inferring time-varying generation time, serial interval, and incubation period distributions for COVID-19[J]. Nature communications, 2022, 13(1): 772 .pdf
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[J]. The Lancet Global Health, 2022,10(11): e1612-e1622 .pdf
Cao R, Liu X F, Fang Z, et al. How do scientific papers from different journal tiers gain attention on social media?[J]. Information Processing & Management, 2023, 60(1): 103152 .pdf
Wang Z, Liu X F, Du Z, et al. Epidemiologic information discovery from open-access COVID-19 case reports via pretrained language model[J]. IScience, 2022, 25(10) .pdf
Cai Q, Du Z, Wu Y, et al. Rethinking academic conferences in the age of pandemic[J]. Applied Sciences, 2022,12(16): 8351 .pdf
Li A W, Xu X K, Fan Y. Immunization strategies for false information spreading on signed social networks[J].Chaos, Solitons & Fractals, 2022, 162: 112489 .pdf
Ran Y, Liu T, Jia T, et al. A novel similarity measure for mining missing links in long-path networks[J]. Chinese Physics B, 2022, 31(6): 068902 .pdf
Wu D, Liu Y, Tang M, et al. Impact of hopping characteristics of inter-layer commuters on epidemic spreading in multilayer networks[J]. Chaos, Solitons & Fractals, 2022, 159: 112100 .pdf
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)[EB/OL] .pdf
Sun H, Liu X, Du Z, et al. Heterogeneous influence of individuals’ behavior on mask efficacy in gathering environments[J]. Frontiers of Engineering Management, 2022, 9(4): 550-562 .pdf
Liu C, Xu L, Bai Y, et al. Local Surveillance of the COVID-19 Outbreak[J]. Frontiers in Physics, 2022, 10: 824369 .pdf
Ding L, Xie L, Xu X K. Rich-club impact on cascading failures in interdependent power and communication networks[J]. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2022, 12(1): 115-123 .pdf
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[J]. Clinical Infectious Diseases, 2022, 75(1): e293-e295.pdf
Liu S Y, Xiao J, Xu X K. Improving sign prediction of network embedding by adding motif features[J]. Physica A: Statistical Mechanics and its Applications, 2022, 593: 126966 .pdf
Xu M, Du Z, Shan S, et al. RiskEstim: a software package to quantify COVID-19 importation risk[J]. Frontiers in Physics, 2022, 10: 835992 .pdf
Xu S, Ran Y, Xu X K. Predicting scientist collaboration by multiple motif features[J]. IEEE Transactions on Computational Social Systems, 2022, 10(4): 1826-1834 .pdf
Cao R , Geng Y , Xu X ,et al.How does duplicate tweeting boost social media exposure to scholarly articles?[J].Journal of Informetrics, 2022, 16.DOI:10.1016/j.joi.2022.101249 .pdf
2022
Hong Z , Wen J , Jie Z ,et al.Nodal Memberships to Communities of Functional Brain Networks Reveal Functional Flexibility and Individualized Connectome[J].Cerebral Cortex, 2021(11):11.DOI:10.1093/cercor/bhab144 .pdf
Xiao J , Wang Y J , Xu X K .Fuzzy Community Detection Based on Elite Symbiotic Organisms Search and Node Neighborhood Information[J].Fuzzy Systems, IEEE Trans. on (T-FUZZ), 2022, 30(7):15.DOI:10.1109/TFUZZ.2021.3087235 .pdf
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. doi: 10.1093/cid/ciab491. PMID: 34037748; PMCID: PMC8241473 .pdf
Sun H C , Liu X F , Du Z W ,et al.Mitigating COVID-19 Transmission in Schools With Digital Contact Tracing[J].IEEE Transactions on Computational Social Systems, 2021, PP(99):1-9.DOI:10.1109/TCSS.2021.3073109 .pdf
Cao R , Wang X , Xu X ,et al.Multiple bursts of highly retweeted articles on social media[J].Scientometrics, 2021.DOI:10.1007/s11192-021-03970-7 .pdf
Liu X F , Xu X K , Wu Y .Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei province[J].Scientific Data, 2021, 8(1):54.DOI:10.1038/s41597-021-00844-8 .pdf
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
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, https://doi.org/10.1093/jtm/taaa236 .pdf
2021
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Chinese paper
2024
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,https://doi.org/10.1360/SSI-2023-0201 .pdf
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
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
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
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
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
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
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.DOI:10.12178/1001-0548.2021354 .pdf
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
王浩,许小可.融合文本和表情符号特征的社交网络用户性别识别[J].复杂系统与复杂性科学, 2022, 19(4):8 .pdf
李纪,许小可.参照零模型的符号社会网络嵌入性分析[J].重庆理工大学学报（自然科学版）, 2022(036-005).DOI:10.3969/j.issn.1674-8425(z).2022.05.021 .pdf
方祺娜,许小可.基于异质模体特征的社交网络链路预测[J].电子科技大学学报, 2022(002):051.DOI:10.12178/1001-0548.2021181 .pdf
张昕昕,杨晨,许小可.新冠疫情影响下民族地区人口流动的地域差异分析[J].大连民族学院学报, 2022(001):024 .pdf
2022
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
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.DOI:10.12178/1001-0548.2021147 .pdf
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.DOI:10.7544/issn1000-1239.2021.20200806 .pdf
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.DOI:10.12178/1001-0548.2020350 .pdf
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.DOI:10.12178/1001-0548.2020241 .pdf
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.DOI:10.3969/j.issn.1673-4793.2021.01.010 .pdf
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.DOI:10.7498/aps.70.20201371 .pdf
2021
2020
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
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.DOI:CNKI:SUN:KJDB.0.2018-08-005 .pdf
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
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
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
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
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
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.DOI:10.3969/j.issn.1001-0548.2014.01.002 .pdf
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
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
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
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
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.DOI:10.13306/j.1672-3813.2014.01.005 .pdf
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.DOI:CNKI:SUN:ZYKB.0.2013-00-287 .pdf
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.DOI:10.3969/j.issn.1007-6735.2012.01.004 .pdf
PUBLICATIONS
|
|