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Volumn 55, Issue , 2013, Pages 301-314

Epidemics on a stochastic model of temporal network

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EID: 84913536386     PISSN: 21643679     EISSN: 21643725     Source Type: Book Series    
DOI: 10.1007/978-1-4614-6729-8_15     Document Type: Chapter
Times cited : (4)

References (25)
  • 2
    • 18744406314 scopus 로고    scopus 로고
    • The origin of bursts and heavy tails in human dynamics
    • A.-L. Barabási, The origin of bursts and heavy tails in human dynamics. Nature 435, 207-210 (2005)
    • (2005) Nature , vol.435 , pp. 207-210
    • Barabási, A.-L.1
  • 3
    • 79956262123 scopus 로고    scopus 로고
    • Dynamical patterns of cattle trade movements
    • P. Bajardi, A. Barrat, F. Natale, L. Savini, et al., Dynamical patterns of cattle trade movements. PLoS ONE 6, 5 e19869 (2011)
    • (2011) Plos ONE , vol.6 , Issue.5
    • Bajardi, P.1    Barrat, A.2    Natale, F.3    Savini, L.4
  • 5
    • 79955102913 scopus 로고    scopus 로고
    • The dynamic nature of contact networks in infectious disease epidemiology
    • S. Bansal, J. Read, B. Pourbohloul, L.A. Meyers, The dynamic nature of contact networks in infectious disease epidemiology. J. Biol. Dyn. 4, 5 478-489 (2010)
    • (2010) J. Biol. Dyn , vol.4 , Issue.5 , pp. 478-489
    • Bansal, S.1    Read, J.2    Pourbohloul, B.3    Meyers, L.A.4
  • 6
    • 65549085067 scopus 로고    scopus 로고
    • Power law distributions in empirical data
    • A. Clauset, C.R. Shalizi, M.E.J. Newman, Power law distributions in empirical data. SIAM Rev. 51(4), 661-703 (2009)
    • (2009) SIAM Rev , vol.51 , Issue.4 , pp. 661-703
    • Clauset, A.1    Shalizi, C.R.2    Newman, M.E.J.3
  • 7
    • 0034486891 scopus 로고    scopus 로고
    • The mathematics of infectious diseases
    • H.W. Hethcote, The mathematics of infectious diseases. SIAM Rev. 42(4), 599-653 (2000)
    • (2000) SIAM Rev , vol.42 , Issue.4 , pp. 599-653
    • Hethcote, H.W.1
  • 8
    • 50949118004 scopus 로고    scopus 로고
    • HIV-1 transmission, by stage of infection
    • T.D. Hollingsworth, R.M. Anderson, C. Fraser, HIV-1 transmission, by stage of infection. JID 198, 687-693 (2008)
    • (2008) JID , vol.198 , pp. 687-693
    • Hollingsworth, T.D.1    Anderson, R.M.2    Fraser, C.3
  • 9
    • 84866939709 scopus 로고    scopus 로고
    • Temporal networks
    • P. Holme, J. Saramäki, Temporal networks. To appear in Phys. Rep. 519(3), 97-125 (2012)
    • (2012) Phys. Rep. , vol.519 , Issue.3 , pp. 97-125
    • Holme, P.1    Saramäki, J.2
  • 10
    • 68649108167 scopus 로고    scopus 로고
    • Impact of human activity patterns on the dynamics of information diffusion
    • J.L. Iribarren, E. Moro, Impact of human activity patterns on the dynamics of information diffusion. PRL 103, 038702 (2009)
    • (2009) PRL , vol.103
    • Iribarren, J.L.1    Moro, E.2
  • 11
    • 0031001934 scopus 로고    scopus 로고
    • The role of early HIV infection in the spread of HIV through populations
    • J.S. Koopman, J.A. Jacquez, G.W. Welch, et al., The role of early HIV infection in the spread of HIV through populations. JAIDS 14(3), 249-258 (1997)
    • (1997) JAIDS , vol.14 , Issue.3 , pp. 249-258
    • Koopman, J.S.1    Jacquez, J.A.2    Welch, G.W.3
  • 12
    • 79952504668 scopus 로고    scopus 로고
    • Small but slow world: How network topology and burstiness slow down spreading
    • M. Karsai, M. Kivelä, R.K. Pan, K. Kaski, et al., Small but slow world: How network topology and burstiness slow down spreading. PRE 83, 025102 (2011)
    • (2011) PRE , vol.83
    • Karsai, M.1    Kivelä, M.2    Pan, R.K.3    Kaski, K.4
  • 13
    • 57449102952 scopus 로고    scopus 로고
    • A poissonian explanation for heavy tails in e-mail communication
    • R.D. Malmgren, D.B. Stouffer, A.E. Motter, L.A.N. Amaral, A poissonian explanation for heavy tails in e-mail communication. PNAS 105(47), 18153-18158 (2008)
    • (2008) PNAS , vol.105 , Issue.47 , pp. 18153-18158
    • Malmgren, R.D.1    Stouffer, D.B.2    Motter, A.E.3    Amaral, L.A.N.4
  • 15
    • 79961105717 scopus 로고    scopus 로고
    • Path lengths, correlations, and centrality in temporal networks
    • R.K. Pan, J. Saramäki, Path lengths, correlations, and centrality in temporal networks. PRE 84, 016105 (2011)
    • (2011) PRE , vol.84
    • Pan, R.K.1    Saramäki, J.2
  • 16
    • 84875987140 scopus 로고    scopus 로고
    • Bursts of vertex activation and epidemics in evolving networks
    • arXiv:1206.6036
    • L.E.C. Rocha, V.D. Blondel, Bursts of vertex activation and epidemics in evolving networks. To appear in PLoS Comput. Bio. arXiv:1206.6036 (2013)
    • (2013) Plos Comput. Bio
    • Rocha, L.E.C.1    Blondel, V.D.2
  • 17
    • 47649090559 scopus 로고    scopus 로고
    • Dynamic social networks and the implications for the spread of infectious disease
    • J.M. Read, K.T.D. Eames, W.J. Edmunds, Dynamic social networks and the implications for the spread of infectious disease. J. R. Soc. Interface 5, 26 1001-1007 (2008)
    • (2008) J. R. Soc. Interface , vol.5 , Issue.26 , pp. 1001-1007
    • Read, J.M.1    Eames, K.T.D.2    Edmunds, W.J.3
  • 18
    • 77950534276 scopus 로고    scopus 로고
    • Information dynamics shape the sexual networks of internet-mediated prostitution
    • L.E.C. Rocha, F. Liljeros, P. Holme, Information dynamics shape the sexual networks of internet-mediated prostitution. PNAS 107(13), 5706-5711 (2010)
    • (2010) PNAS , vol.107 , Issue.13 , pp. 5706-5711
    • Rocha, L.E.C.1    Liljeros, F.2    Holme, P.3
  • 19
    • 79953671188 scopus 로고    scopus 로고
    • Simulated epidemics in an empirical spatiotemporal network of 50,185 sexual contacts
    • L.E.C. Rocha, F. Liljeros, P. Holme, Simulated epidemics in an empirical spatiotemporal network of 50,185 sexual contacts. PLoS Comput. Biol. 7(3), e1001109 (2011)
    • (2011) Plos Comput. Biol , vol.7 , Issue.3
    • Rocha, L.E.C.1    Liljeros, F.2    Holme, P.3
  • 20
    • 78650671288 scopus 로고    scopus 로고
    • A high-resolution human contact network for infectious disease transmission
    • M. Salathé, M. Kazandjieva, J.W. Leeb, et al., A high-resolution human contact network for infectious disease transmission. PNAS 107(51), 22020-22025 (2010)
    • (2010) PNAS , vol.107 , Issue.51 , pp. 22020-22025
    • Salathé, M.1    Kazandjieva, M.2    Leeb, J.W.3
  • 21
    • 79960559609 scopus 로고    scopus 로고
    • Simulation of a SEIR infectious disease model on the dynamic contact network of conference attendees
    • J. Stehlé, N. Voirin, A. Barrat, C. Cattuto, et al., Simulation of a SEIR infectious disease model on the dynamic contact network of conference attendees. BMC Med. 9(87), 1-15 (2011)
    • (2011) BMC Med , vol.9 , Issue.87 , pp. 1-15
    • Stehlé, J.1    Voirin, N.2    Barrat, A.3    Cattuto, C.4
  • 22
    • 77953098690 scopus 로고    scopus 로고
    • Small-world behavior in time-varying graphs
    • J. Tang, S. Scellato, M. Musolesi, et al., Small-world behavior in time-varying graphs. PRE 81, 055101(R) (2010)
    • (2010) PRE , vol.81
    • Tang, J.1    Scellato, S.2    Musolesi, M.3
  • 23
    • 34147159602 scopus 로고    scopus 로고
    • Impact of non-Poisson activity patterns on spreading processes
    • A. Vazquez, B. Rácz, A. Lukács, A.-L. Barabási, Impact of non-Poisson activity patterns on spreading processes. PRL 98, 158702 (2007)
    • (2007) PRL , vol.98
    • Vazquez, A.1    Rácz, B.2    Lukács, A.3    Barabási, A.-L.4
  • 24
    • 58149124231 scopus 로고    scopus 로고
    • Representing the UK cattle herd as static and dynamic networks
    • M. Vernon, M.J. Keeling, Representing the UK cattle herd as static and dynamic networks. Proc. R. Soc. Lond. B Bio. 276, 469-476 (2009)
    • (2009) Proc. R. Soc. Lond. B Bio , vol.276 , pp. 469-476
    • Vernon, M.1    Keeling, M.J.2
  • 25
    • 36549089548 scopus 로고    scopus 로고
    • Susceptible-infected-recovered epidemics in dynamic contact networks
    • E. Volz, L.A. Meyers, Susceptible-infected-recovered epidemics in dynamic contact networks. Proc. R. Soc. B 274 2925-2933 (2007)
    • (2007) Proc. R. Soc. B , vol.274 , pp. 2925-2933
    • Volz, E.1    Meyers, L.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.