[1]Rumney J. The science of society: an introduction to sociology[J]. American Journal of Sociology, 1939, 45(2): 588-289.
[2]Watts D J, Strogatz S H. Collective dynamics of ‘small-world’ networks[J]. Nature, 1998, 393(6684): 440-442.
[3]Barabási A L, Albert R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439): 509-512.
[4]Liljeros F, Edling C R, Amaral L A N, et al. The web of human sexual contacts[J]. Nature, 2001, 411(6840): 907-908.
[5]Eames K T D, Keeling M J. Modeling dynamic and network heterogeneities in the spread of sexually transmitted diseases[J]. Proc Natl Acad Sci USA, 2002, 99(20): 13330-13335.
[6]Eckmann J P, Moses E, Sergi D. Entropy of dialogues creates coherent structures in e-mail traffic[J]. Proc Natl Acad Sci USA, 2004, 101(40): 14333-14337.
[7]Barabási A L. The origin of bursts and heavy tails in human dynamics[J]. Nature, 2005, 435(7039): 207-211.
[8]Newman M E J, Barabási A L, Watts D J, The Structure and Dynamics of Networks[M]. Princeton: Princeton University Press, 2006:229-414.
[9]汪小帆, 李翔, 陈关荣. 网络科学导论[M]. 北京:高等教育出版社, 2012.
[10] Holme P, Saramäki J. Temporal networks[J]. Phys Rep, 2012, 519(3): 97-125.
[11] Perra N, Gonçalves B, Pastor-Satorras R, et al. Activity driven modeling of time varying networks[J]. Sci Rep, 2012, 2: 469.
[12] Karsai M, Perra N, Vespignani A. Time varying networks and the weakness of strong ties[J]. Sci Rep, 2014, 4: 4001.
[13] Holme P. Network reachability of real-world contact sequences[J]. Phys Rev E, 2005, 71(4): 046119.
[14] Zhang Y Q, Cui J, Zhang S M, et al. Modelling temporal networks of human face-to-face contacts with public activity and individual reachability[J]. Eur Phys J B, 2016, 89(2): 26.
[15] Pfitzner R, Scholtes I, Garas A, et al. Betweenness preference: quantifying correlations in the topological dynamics of temporal networks[J]. Phys Rev Lett, 2013, 110(19): 198701.
[16] Viswanath B, Mislove A, Cha M, et al. On the evolution of user interaction in facebook[C]//Proceedings of the 2nd ACM workshop on Online social networks. ACM, 2009: 37-42.
[17] Schneider C M, Moreira A A, Andrade J S, et al. Mitigation of malicious attacks on networks[J]. Proc Natl Acad Sci USA, 2011, 108(10): 3838-3841.
[18] Perra N, Baronchelli A, Mocanu D, et al. Random walks and search in time-varying networks[J]. Phys Rev Lett, 2012, 109(23): 238701.
[19] Jo H H, Perotti J I, Kaski K, et al. Analytically solvable model of spreading dynamics with non-Poissonian processes[J]. Phys Rev X, 2014, 4(1): 011041.
[20] Scholtes I, Wider N, Pfitzner R, et al. Causality-driven slow-down and speed-up of diffusion in non-Markovian temporal networks[J]. Nat Commun, 2014, 5: 5024.
[21] Moinet A, Starnini M, Pastor-Satorras R. Burstiness and aging in social temporal networks[J]. Phys Rev Lett, 2015, 114(10): 108701.
[22] Lee S, Rocha L E C, Liljeros F, et al. Exploiting temporal network structures of human interaction to effectively immunize populations[J]. PLoS One, 2012, 7(5): e36439.
[23] Starnini M, Machens A, Cattuto C, et al. Immunization strategies for epidemic processes in time-varying contact networks[J]. J Theor Biol, 2013, 337: 89-100.
[24] Salathé M, Kazandjieva M, Lee J W, et al. A high-resolution human contact network for infectious disease transmission[J]. Proc Natl Acad Sci USA, 2010, 107(51): 22020-22025.
[25] Wang J B, Wang L, Li X. Identifying spatial invasion of pandemics on metapopulation networks via anatomizing arrival history[J]. IEEE Trans Cybern, 2016, 46(12): 2782-2795.
[26] Cattuto C, Van den Broeck W, Barrat A, et al. Dynamics of person-to-person interactions from distributed RFID sensor networks[J]. PLoS One, 2010, 5(7): e11596.
[27] Isella L, Stehlé J, Barrat A, et al. What′s in a crowd? analysis of face-to-face behavioral networks[J] J Theor Biol, 2011, 271(1): 166-180.
[28] Vanhems P, Barrat A, Cattuto C, et al. Estimating potential infection transmission routes in hospital wards using wearable proximity sensors[J]. PLoS One, 2013, 8(9): e73970.
[29] Takaguchi T, Nakamura M, Sato N, et al. Predictability of conversation partners[J]. Phys Rev X, 2011, 1(1): 011008.
[30] Stopczynski A, Sekara V, Sapiezynski P, et al. Measuring large-scale social networks with high resolution[J]. PLoS One, 2014, 9(4): e95978.
[31] Sekara V, Stopczynski A, Lehmann S. Fundamental structures of dynamic social networks[J]. Proc Natl Acad Sci USA, 2016, 113(36): 9977-9982.
[32] Zhang Y, Wang L, Zhang Y Q, et al. Towards a temporal network analysis of interactive WiFi users[J]. Europhys Lett, 2012, 98(6): 68002.
[33] Zhang Y Q, Li X. Temporal dynamics and impact of event interactions in cyber-social populations[J]. Chaos, 2013, 23(1): 013131.
[34] Zhang Y Q, Li X. When susceptible-infectious-susceptible contagion meets time-varying networks with identical infectivity[J]. Europhys Lett, 2014, 108(2): 28006.
[35] Zhang Y Q, Li X, Xu J, et al. Human interactive patterns in temporal networks[J]. IEEE Trans Syst Man Cybern -Syst, 2014, 45(2): 214-222.
[36] Sun L, Axhausen K W, Lee D H, et al. Understanding metropolitan patterns of daily encounters[J]. Proc Natl Acad Sci USA, 2013, 110(34): 13774-13779.
[37] Song C, Qu Z, Blumm N, et al. Limits of predictability in human mobility[J]. Science, 2010, 327(5968): 1018-1021.
[38] Crandall D J, Backstrom L, Cosley D, et al. Inferring social ties from geographic coincidences[J]. Proc Natl Acad Sci USA, 2010, 107(52): 22436-22441.
[39] Rocha L E C, Liljeros F, Holme P. Information dynamics shape the sexual networks of Internet-mediated prostitution[J]. Proc Natl Acad Sci USA, 2010, 107(13): 5706-5711.
[40] Génois M, Vestergaard C L, Fournet J, et al. Data on face-to-face contacts in an office building suggest a low-cost vaccination strategy based on community linkers[J]. Network Science, 2015, 3(3): 326-347.
[41] Leskovec J, Huttenlocher D, Kleinberg J. Signed networks in social media[C]//Proceedings of the SIGCHI conference on human factors in computing systems. ACM, 2010: 1361-1370.
[42] Saramäki J, Moro E. From seconds to months: an overview of multi-scale dynamics of mobile telephone calls[J]. Eur Phys J B, 2015, 88(6): 164.
[43] Holme P. Analyzing temporal networks in social media[J]. Proc IEEE, 2014, 102(12): 1922-1933.
[44] Liang D, Li X, Zhang Y Q. Identifying familiar strangers in human encounter networks[J]. Europhys Lett, 2016, 116(1): 18006.
[45] Montanari A, Saberi A. The spread of innovations in social networks[J]. Proc Natl Acad Sci USA, 2010, 107(47): 20196-20201.
[46] Rizzo A, Porfiri M. Innovation diffusion on time-varying activity driven networks[J]. Eur Phys J B, 2016, 89(1): 20.
[47] Granovetter M S. The strength of weak ties[J].Am J Social, 1977, 78(6): 347-367.
[48] Krackhardt D, Nohria N, Eccles R G. Networks and Organizations:Structure Form and Action[M]. Boston: Harrard Business School Press, 1992: 216-239.
[49] Albert R, Jeong H, Barabási A L. Error and attack tolerance of complex networks[J]. Nature, 2000, 406(6794): 378-382.
[50] Albert R, Barabási A L. Statistical mechanics of complex networks[J]. Rev Mod Phys, 2002, 74(1): 47.
[51] Tang J, Scellato S, Musolesi M, et al. Small-world behavior in time-varying graphs[J]. Phys Rev E, 2010, 81(5): 055101.
[52] Starnini M, Pastor-Satorras R. Topological properties of a time-integrated activity-driven network[J]. Phys Rev E, 2013, 87(6): 062807.
[53] Cui J, Zhang Y Q, Li X. On the clustering coefficients of temporal networks and epidemic dynamics[C]//2013 IEEE International Symposium on Circuits and Systems, IEEE, 2013: 2299-2302.
[54] Motter A E, Lai Y C. Cascade-based attacks on complex networks[J]. Phys Rev E, 2002, 66(6): 065102.
[55] Motter A E. Cascade control and defense in complex networks[J]. Phys Rev Lett, 2004, 93(9): 098701.
[56] Rocha L E C, Liljeros F, Holme P. Simulated epidemics in an empirical spatiotemporal network of 50,185 sexual contacts[J]. PLoS Comput Biol, 2011, 7(3): e1001109.
[57] Holme P, Saramki, J Temporal Networks[M]. Berlin: Springer, 2013:1-14.
[58] Kim H, Anderson R. Temporal node centrality in complex networks[J]. Phys Rev E, 2012, 85(2): 026107.
[59] Starnini M, Baronchelli A, Barrat A, et al. Random walks on temporal networks[J]. Phys Rev E, 2012, 85(5): 056115.
[60] Klimek P, Thurner S. Triadic closure dynamics drives scaling laws in social multiplex networks[J]. New J Phys, 2013, 15(6): 063008.
[61] Medus A D, Dorso C O. Memory effects induce structure in social networks with activity-driven agents[J]. J Stat Mech, 2014, 2014(9): P09009.
[62] Newman M E J, Forrest S, Balthrop J. Email networks and the spread of computer viruses[J]. Phys Rev E, 2002, 66(3): 035101.
[63] Serrano M á, Boguná M. Percolation and epidemic thresholds in clustered networks[J]. Phys Rev Lett, 2006, 97(8): 088701.
[64] Karsai M, KiveläM, Pan R K, et al. Small but slow world: how network topology and burstiness slow down spreading[J]. Phys Rev E, 2011, 83(2): 025102.
[65] Morone F, Makse H A. Influence maximization in complex networks through optimal percolation[J]. Nature, 2015, 524(7563): 65-68.
[66] Vestergaard C L, Génois M, Barrat A. How memory generates heterogeneous dynamics in temporal networks[J]. Phys Rev E, 2014, 90(4): 042805.
[67] Karsai M, Kaski K, Kertész J. Correlated dynamics in egocentric communication networks[J]. PLoS One, 2012, 7(7): e40612.
[68] Zhou T, Kuscsik Z, Liu J G, et al. Solving the apparent diversity-accuracy dilemma of recommender systems[J]. Proc Natl Acad Sci USA, 2010, 107(10): 4511-4515.
[69] Zhao K, Stehlé J, Bianconi G, et al. Social network dynamics of face-to-face interactions[J]. Phys Rev E, 2011, 83(5): 056109.
[70] 周涛,韩筱璞,闫小勇,等.人类行为时空特性的统计力学[J]. 电子科技大学学报, 2013, 42(4): 481-540.
Zhou Tao, Han Xiaopu, Yan Xiaoyong, et al. Statistical mechanics on temporal and spatial activities of human[J]. Journal of University of Electronic Science and Technology of China, 2013, 42(4): 481-540.
[71] Karagiannis T, Le Boudec J Y, Vojnovic M. Power law and exponential decay of intercontact times between mobile devices[J]. IEEE Trans Mob Comput, 2010, 9(10): 1377-1390.
[72] Doerr C, Blenn N, Van Mieghem P. Lognormal infection times of online information spread[J]. PLoS One, 2013, 8(5): e64349.
[73] Goh K I, Barabási A L. Burstiness and memory in complex systems[J]. Europhys Lett, 2008, 81(4): 48002.
[74] Karimi F, Ramenzoni V C, Holme P. Structural differences between open and direct communication in an online community[J]. Physica A, 2014, 414: 263-273.
[75] Kim H, Ha M, Jeong H. Scaling properties in time-varying networks with memory[J]. Eur Phys J B, 2015, 88(12): 315.
[76] Colman E R, Greetham D V. Memory and burstiness in dynamic networks[J]. Phys Rev E, 2015, 92(1): 012817.
[77] Jo H H, Karsai M, Kertész J, et al. Circadian pattern and burstiness in mobile phone communication[J]. New J Phys, 2012, 14(1): 013055.
[78] Fournet J, Barrat A. Contact patterns among high school students[J]. PLoS One, 2014, 9(9): e107878.
[79] Yasseri T, Sumi R, Kertész J. Circadian patterns of wikipedia editorial activity: a demographic analysis[J]. PLoS One, 2012, 7(1): e30091.
[80] Holme P. Modern temporal network theory: a colloquium[J]. Eur Phys J B, 2015, 88(9): 234.
[81] Gleeson J P, O’Sullivan K P, Baos R A, et al. Effects of network structure, competition and memory time on social spreading phenomena[J]. Phys Rev X, 2016, 6(2): 021019.
[82] Clauset A, Eagle N. Persistence and periodicity in a dynamic proximity network[DB/OL]. [2019-04-30]. https://arxiv.org/abs/1211.7343.
[83] Cardillo A, Petri G, Nicosia V, et al. Evolutionary dynamics of time-resolved social interactions[J]. Phys Rev E, 2014, 90(5): 052825.
[84] Backlund V P, Saramäki J, Pan R K. Effects of temporal correlations on cascades: threshold models on temporal networks[J]. Phys Rev E, 2014, 89(6): 062815.
[85] Pan R K, Saramäki J. Path lengths, correlations, and centrality in temporal networks[J]. Phys Rev E, 2011, 84(1): 016105.
[86] Bajardi P, Barrat A, Natale F, et al. Dynamical patterns of cattle trade movements[J]. PLoS One, 2011, 6(5):e19869.
[87] Gönlund A, Holme P. Networking the seceder model: Group formation in social and economic systems[J]. Phys Rev E, 2004, 70(3): 036108.
[88] Erds P, Rényi A. On the evolution of random graphs[J]. Publ Math Inst Hungar Acad Sci, 1960, 5: 17-61.
[89] Holme P. Epidemiologically optimal static networks from temporal network data[J]. PLoS Comput Biol, 2013, 9(7): e1003142.
[90] Newman M. Networks: an Introduction[M]. New York: Oxford University Press, 2010: 424-434.
[91] Rocha L E C, Blondel V D. Bursts of vertex activation and epidemics in evolving networks[J]. PLoS Comput Biol, 2013, 9(3): e1002974.
[92] Liu S Y, Baronchelli A, Perra N. Contagion dynamics in time-varying metapopulation networks[J]. Phys Rev E, 2013, 87(3): 032805.
[93] Liu S, Perra N, Karsai M, et al. Controlling contagion processes in activity driven networks[J]. Phys Rev Lett, 2014, 112(11): 118702.
[94] Starnini M, Pastor-Satorras R. Temporal percolation in activity-driven networks[J]. Phys Rev E, 2014, 89(3): 032807.
[95] Sun K, Baronchelli A, Perra N. Contrasting effects of strong ties on sir and sis processes in temporal networks[J]. Eur Phys J B, 2015, 88(12): 326.
[96] Hoppe K, Rodgers G J. Mutual selection in time-varying networks[J]. Phys Rev E, 2013, 88(4): 042804.
[97] Pozzana I, Sun K, Perra N. Epidemic spreading on activity-driven networks with attractiveness[J]. Phys Rev E, 2017, 96(4): 042310.
[98] Laurent G, Saramäki J, Karsai M. From calls to communities: a model for time-varying social networks[J]. Eur Phys J B, 2015, 88(11): 301.
[99] Kossinets G, Watts D J. Empirical analysis of an evolving social network[J]. Science, 2006, 311(5757): 88-90.
[100] Sunny A, Kotnis B, Kuri J. Dynamics of history-dependent epidemics in temporal networks[J]. Phys Rev E, 2015, 92(2): 022811.
[101] Starnini M, Baronchelli A, Pastor-Satorras R. Modeling human dynamics of face-to-face interaction networks[J]. Phys Rev Lett, 2013, 110(16): 168701.
[102] Zhang Y Q, Li X, Liang D, et al. Characterizing bursts of aggregate pairs with individual poissonian activity and preferential mobility[J]. IEEE Commun Lett, 2015, 19(7): 1225-1228.
[103] Li J, Li C, Li X. Quantifying the contact memory in temporal human interactions[C]//2018 IEEE International Symposium on Circuits and Systems, IEEE, 2018: 1-5.
[104] Valdano E, Poletto C, Giovannini A, et al. Predicting epidemic risk from past temporal contact data[J]. PLoS Comput Biol, 2015, 11(3): e1004152.
[105] Ubaldi E, Perra N, Karsai M, et al. Asymptotic theory of time-varying social networks with heterogeneous activity and tie allocation[J]. Sci Rep, 2016, 6: 35724.
[106] Ubaldi E, Vezzani A, Karsai M, et al. Burstiness and tie activation strategies in time-varying social networks[J]. Sci Rep, 2017, 7: 46225.
[107] Li C, Li J, Li X. Evolving nature of human contact networks with its impact on epidemic processes[DB/OL]. [2019-04-30]. https://arXivorg/abs/1905.08525?context=physics.soc-ph.
[108] Qu B, Li C, Van Mieghem P, et al. Ranking of nodal infection probability in susceptible-infected-susceptible epidemic[J]. Sci Rep, 2017, 7(1): 9233.
[109] Iribarren J L, Moro E. Impact of human activity patterns on the dynamics of information diffusion[J]. Phys Rev Lett, 2009, 103(3): 038702.
[110] Wang D, Wen Z, Tong H, et al. Information spreading in context[C]//Proceedings of the 20th international conference on World wide web. ACM, 2011: 735-744.
[111] Pastor-Satorras R, Castellano C, Van Mieghem P, et al. Epidemic processes in complex networks[J]. Rev Mod Phys, 2015, 87(3): 925.
[112] Kermack W O, McKendrick A G. A contribution to the mathematical theory of epidemics[J]. Proceedings of the royal society of london. Series A, Containing papers of a mathematical and physical character, 1927, 115(772): 700-721.
[113] Anderson R M, May R M. Infectious Diseases of Humans: Dynamics and Control[M]. Oxford: Oxford University Press, 1992:13-23.
[114] Keeling M J, Rohani P. Modeling Infectious Diseases in Humans and Animals[M]. Princeton: Princeton University Press, 2007:279-334.
[115] Miritello G, Moro E, Lara R. Dynamical strength of social ties in information spreading[J]. Phys Rev E, 2011, 83(4): 045102.
[116] KiveläM, Pan R K, Kaski K, et al. Multiscale analysis of spreading in a large communication network[J]. J Stat Mech, 2012,(3): 03005.
[117] Gao L, Wang W, Shu P, et al. Promoting information spreading by using contact memory[J]. Europhys Lett, 2017, 118(1): 18001.
[118] Tang J, Mascolo C, Musolesi M, et al. Exploiting temporal complex network metrics in mobile malware containment[C]//2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, IEEE, 2011: 1-9.
[119] Wang H, Chen C, Qu B, et al. Epidemic mitigation via awareness propagation in communication networks: the role of time scales[J]. New J Phys, 2017, 19(7): 073039.
[120] Fournet J, Barrat A. Estimating the epidemic risk using non-uniformly sampled contact data[J]. Sci Rep, 2017, 7(1): 9975.
[121] Génois M, Vestergaard C L, Cattuto C, et al. Compensating for population sampling in simulations of epidemic spread on temporal contact networks[J].Nat Commun, 2015, 6: 8860.
