仅为了方便在此备份.

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[2] L. Lu, L. Pan, T.Zhou, Y.-C. Zhang, H. E. Stanley, Toward link predictability ofcomplex networks, PNAS 112 (2015) 2325-2330.

[3] Z. Rong, Z.-X. Wu,D. Hao, M. Z.-Q. Chen, T. Zhou, Diversity of timescalepromotes the maintenance of extortioners in a spatial prisoner's dilemma game,New J. Phys. 17 (2015) 033032.

[4] Y. Liu, M. Tang, T.Zhou, Y. Do, Core-like groups result in invalidation of identifyingsuper-spreader by k-shell decomposition, Scientific Reports 5 (2015) 9602.

[5] J. Gao, Y.-W.Dong, M.-S. Shang, S.-M. Cai, T. Zhou, Group-based ranking methodfor online rating systems with spamming attacks, EPL 110 (2015) 28003.

[6] D. Hao, Z. Rong, T. Zhou, Extortion underuncertainty: Zero-determinant strategies in noisy games, Phys. Rev. E 91 (2015)052803.

[7] Q.-M. Zhang, X.-K.Xu, Y.-X. Zhu,T. Zhou, Measuring multiple evolution mechanismsof complex networks, Scientific Reports 5 (2015) 10350.

[8] D. Lian, X. Xie,F. Zhang, N. J. Yuan, T. Zhou,Y. Rui, Mining Location-Based Social Networks: A Predictive Perspective, IEEE Data Engineering Bulletin 38(2) (2015)35-46.

[9] 张琳艳, 高见,洪翔, 周涛. 大数据导航人力资源管理. 《大数据》, 2015年第1卷第1期 , 2015012。

[10] J. Zhao, L. Miao,J. Yang, H. Fang, Q.-M. Zhang, M. Nie, P. Holme, T. Zhou, Prediction of Links and Weights in Networks byReliable Routes, Scientific Reports 5 (2015) 12261.

[11] L. Pan, D. Hao,Z. Rong, T. Zhou,Zero-Determinant Strategies in Iterated Public Goods Game, Scientific Reports 5(2015) 13096.

[12] J. Shao, Z. Han,Q. Yang, T. Zhou, CommunityDetection based on Distance Dynamics, ACM SIGKDD 2015, pp. 1075-1084.

[13] 曾伟，孔新川，陈威，周涛.大数据发现银行贷款风险. 《大数据》, 2015年第1卷第2期 , 2015024。

[14] Y. Liu, M. Tang, T. Zhou, Y. Do, Improving theaccuracy of the k-shell method by removing redundant links: From a perspectiveof spreading dynamics, Scientific Reports 5 (2015) 13172.

[15] X. Zhu, H. Tian,P. Zhang, Z. Hu, T. Zhou, Personalizedrecommendation based on unbiased consistence, EPL 111 (2015) 48007.

[16] J. Gao, T. Zhou, Y. Hu, BootstrapPercolation on Spatial Networks, Scientific Reports 5 (2015) 14662.

[17] Z. Chen, H.-T.Zhang, X. Chen, D. Chen, T. Zhou,Two-level leader-follower organization in pigeon flocks, EPL 112 (2015) 20008.

[18] 吕红胤，连德富，聂敏，夏虎，周涛.大数据引领教育未来：从成绩预测谈起. 《大数据》, 2015年第1卷第4期 , 2015045。

[19] D. Lian, Y. Ge,F. Zhang, N. J. Yuan, X. Xie, T.Zhou, Y. Rui, Content-Aware Collaborative Filtering for LocationRecommendation Based on Human, IEEE International Conference on Data Mining(ICDM'2015), pp. 261-270, IEEE Press, 2015.

[20] L. Lu, T. Zhou, Q.-M. Zhang, H. E.Stanley, The H-index of a network node and its relation to degree and coreness,Nature Communications 7 (2016) 10168.

[21] J. Yuan, Q.-M.Zhang, J. Gao, L. Zhang, X.-S. Wan, X.-J. Yu, T. Zhou, Promotion and resignation in employee networks,Physica A 444 (2016) 442-447.

[22] C.-X. Cui, Z.Yang, T. Zhou, Strong tiespromote the epidemic prevalence in susceptible–infected–susceptible spreadingdynamics, Physica A 445 (2016) 335-342.

[23] J.-H. Liu, Y.-X.Zhu, T. Zhou, Improvingpersonalized link prediction by hybrid diffusion, Physica A 447 (2016) 199-207.

[24] J.-G. Liu, J.-H.Lin, Q. Guo, T. Zhou,Locating influential nodes via dynamics-sensitive centrality, ScientificReports 6 (2016) 21380.

[25] L. Pan, T. Zhou, L. Lu, C.-K. Hu, Predictingmissing links and identifying spurious links via likelihood analysis,Scientific Reports 6 (2016) 22955.

[26] 吕琳媛，任晓龙，周涛，网络链路预测：概念与前沿，《中国计算机学会通讯》，2016年4月，第12卷第4期，12-21页。

[27] C. Zhang, L. Yu,J. Lu, T. Zhou, Z.-K. Zhang,AdaWIRL: A Novel Bayesian Ranking Approach for Personal Big-Hit PaperPrediction, LNCS 9659 (2016) 342-355 (WAIM 2016).

[28] Z.-D. Zhao, Y.-C.Gao, S.-M. Cai, T. Zhou, Dynamicpatterns of academic forum activities, Physica A 461 (2016) 117–124.

[29] Y. Liu, M. Tang, T. Zhou, Y. Do, Identifyinfluential spreaders in complex networks, the role of neighborhood, Physica A452 (2016) 289-298.

[30] Q. Wang, J. Gao, T. Zhou, Z. Hu, H. Tian, Criticalsize of ego communication networks, EPL 114 (2016) 58004.

[31] Z.-H. Rong, Q.Zhao, Z.-X. Wu, T. Zhou, C.K. Tse, Proper aspiration level promotes generous behavior in the spatialprisoner's dilemma game, Eur. Phys. J. B 89 (2016) 166.

[32] J.-H Liu, J.Wang, J. Shao, T. Zhou, Onlinesocial activity reflects economic status, Physica A 457 (2016) 581-589.

[33] D. Chen, T.Vicsek, X. Liu, T. Zhou,H.-T. Zhang, Switching hierarchical leadership mechanism in homing flight ofpigeon flocks, EPL 114 (2016) 60008.

[34] C. Ma, T. Zhou, H.-F. Zhang, Playingthe role of weak clique property in link prediction: A friend recommendationmodel, Scientific Reports 6 (2016) 30098.

[35] 高见，周涛，大数据揭示经济发展状况，《电子科技大学学报》，2016年7月，第45卷第4期，625-633页。

[36] 汪秉宏, 周涛,史冬梅，应急疏散动力学研究的意义与进展，《现代物理知识》，2016年第2期，50-56页。

[37] L. Lu, D. Chen,X.-L. Ren, Q.-M. Zhang, Y.-C. Zhang, T.Zhou, Vital nodes identification in complex networks. PhysicsReports 650 (2016) 1-63.

[38] Y. Zha, T. Zhou, C.-S. Zhou, Unfoldinglarge-scale online collaborative human dynamics, PNAS 113 (2016) 14627-14632.

[39] L.-J. Chen, Z.-K.Zhang, J.-H. Liu, J. Gao, T. Zhou,A vertex similarity index for better personalized recommendation, Physica A 466(2017) 607-615.

[40] Z. Yang, D. Lian,N. J. Yuan, X. Xie, Y. Rui, T. Zhou,Indigenization of urban mobility, Physica A 469 (2017) 232-243.

[41] R. Pech, D. Hao, L. Pan, H. Cheng, T. Zhou,Link prediction via matrix completion, EPL 117 (2017) 38002.

[42] D. Yang, L. Pan, T. Zhou, Lower bound ofassortativity coefficient in scale-free networks, Chaos 27 (2017) 033113.

[43] J. Gao, T. Zhou, Evaluating userreputation in online rating systems via an iterative group-based ranking method,Physica A 473 (2017) 546-560.

[44] Q.-H. Liu, W.Wang, M. Tang, T. Zhou, Y.-C.Lai, Explosive spreading on complex networks: The role of synergy, Phys. Rev. E95 (2017) 042320.

[45] X. Xu, Z. Rong,Z.-X. Wu, T. Zhou. C. K. Tse,Extortion provides alternative routes to the evolution of cooperation instructured populations, Phys. Rev. E 95 (2017) 052302.

[46] B.Li, D. Hao, D. Zhao, T. Zhou,Mechanism Design in Social Networks, (AAAI Press, 2017), pp. 586-592.