메뉴 건너뛰기




Volumn 519, Issue 3, 2012, Pages 97-125

Temporal networks

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84866939709     PISSN: 03701573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physrep.2012.03.001     Document Type: Review
Times cited : (2629)

References (169)
  • 6
    • 79451475362 scopus 로고    scopus 로고
    • Spatial networks
    • Barthélemy M. Spatial networks. Phys. Rep. 2011, 499:1-101.
    • (2011) Phys. Rep. , vol.499 , pp. 1-101
    • Barthélemy, M.1
  • 7
    • 77950534276 scopus 로고    scopus 로고
    • Information dynamics shape the sexual networks of internet-mediated prostitution
    • Rocha L.E.C., Liljeros F., Holme P. Information dynamics shape the sexual networks of internet-mediated prostitution. Proc. Natl. Acad. Sci. USA 2010, 107:5706-5711.
    • (2010) Proc. Natl. Acad. Sci. USA , vol.107 , pp. 5706-5711
    • Rocha, L.E.C.1    Liljeros, F.2    Holme, P.3
  • 8
    • 0042209915 scopus 로고    scopus 로고
    • Bursty and hierarchical structure in streams
    • Kleinberg J. Bursty and hierarchical structure in streams. Data Mining and Knowledge Discovery 2003, 7:373-397.
    • (2003) Data Mining and Knowledge Discovery , vol.7 , pp. 373-397
    • Kleinberg, J.1
  • 9
    • 84880488760 scopus 로고    scopus 로고
    • On the bursty evolution of blogspace
    • in: Proceedings of the 12th International Conference on World Wide Web
    • R. Kumar, J. Novak, P. Raghavan, A. Tomkins, On the bursty evolution of blogspace, in: Proceedings of the 12th International Conference on World Wide Web, 2003.
    • (2003)
    • Kumar, R.1    Novak, J.2    Raghavan, P.3    Tomkins, A.4
  • 10
    • 18744406314 scopus 로고    scopus 로고
    • The origin of bursts and heavy tails in humans dynamics
    • Barabási A.-L. The origin of bursts and heavy tails in humans dynamics. Nature 2005, 435:207-212.
    • (2005) Nature , vol.435 , pp. 207-212
    • Barabási, A.-L.1
  • 11
    • 5144224669 scopus 로고    scopus 로고
    • Entropy of dialogues creates coherent structures in e-mail traffic
    • Eckmann J.-P., Moses E., Sergi D. Entropy of dialogues creates coherent structures in e-mail traffic. Proc. Natl. Acad. Sci. USA 2004, 101:14333-14337.
    • (2004) Proc. Natl. Acad. Sci. USA , vol.101 , pp. 14333-14337
    • Eckmann, J.-P.1    Moses, E.2    Sergi, D.3
  • 12
    • 80052584141 scopus 로고    scopus 로고
    • Impact of heterogeneous human activities on epidemic spreading
    • Yang Z., Cui A.-X., Zhou T. Impact of heterogeneous human activities on epidemic spreading. Physica A 2011, 390:4543-4548.
    • (2011) Physica A , vol.390 , pp. 4543-4548
    • Yang, Z.1    Cui, A.-X.2    Zhou, T.3
  • 15
    • 80051779678 scopus 로고    scopus 로고
    • Time-varying graphs and social network analysis: temporal indicators and metric
    • in: Proceedings of the 3rd AISB Social Networks and Multiagent Systems Symposium, SNAMAS
    • N. Santoro, W. Quattrociocchi, P. Flocchini, A. Casteigts, F. Amblard, Time-varying graphs and social network analysis: temporal indicators and metric, in: Proceedings of the 3rd AISB Social Networks and Multiagent Systems Symposium, SNAMAS, 2011, pp. 32-38.
    • (2011) , pp. 32-38
    • Santoro, N.1    Quattrociocchi, W.2    Flocchini, P.3    Casteigts, A.4    Amblard, F.5
  • 16
    • 79959907809 scopus 로고    scopus 로고
    • Dynamic networks: models and algorithms
    • Kuhn F., Oshman R. Dynamic networks: models and algorithms. ACM SIGACT News 2011, 42:82-96.
    • (2011) ACM SIGACT News , vol.42 , pp. 82-96
    • Kuhn, F.1    Oshman, R.2
  • 17
    • 34147159602 scopus 로고    scopus 로고
    • Impact of non-poissonian activity patterns on spreading processes
    • Vazquez A., Rácz B., Lukács A., Barabási A.-L. Impact of non-poissonian activity patterns on spreading processes. Phys. Rev. Lett. 2007, 98:158702.
    • (2007) Phys. Rev. Lett. , vol.98 , pp. 158702
    • Vazquez, A.1    Rácz, B.2    Lukács, A.3    Barabási, A.-L.4
  • 18
    • 68649108167 scopus 로고    scopus 로고
    • Impact of human activity patterns on the dynamics of information diffusion
    • Iribarren J.L., Moro E. Impact of human activity patterns on the dynamics of information diffusion. Phys. Rev. Lett. 2009, 103:038702.
    • (2009) Phys. Rev. Lett. , vol.103 , pp. 038702
    • Iribarren, J.L.1    Moro, E.2
  • 19
    • 79961105717 scopus 로고    scopus 로고
    • Path lengths, correlations, and centrality in temporal networks
    • Pan R.K., Saramäki J. Path lengths, correlations, and centrality in temporal networks. Phys. Rev. E 2011, 84:016105.
    • (2011) Phys. Rev. E , vol.84 , pp. 016105
    • Pan, R.K.1    Saramäki, J.2
  • 21
    • 79959426872 scopus 로고    scopus 로고
    • Empirical analysis on the human dynamics of a large-scale short message communication system
    • Zhao Z.-D., Xia H., Shang M.-S., Zhou T. Empirical analysis on the human dynamics of a large-scale short message communication system. Chinese Phys. Lett. 2011, 28:068901.
    • (2011) Chinese Phys. Lett. , vol.28 , pp. 068901
    • Zhao, Z.-D.1    Xia, H.2    Shang, M.-S.3    Zhou, T.4
  • 22
    • 0242319522 scopus 로고    scopus 로고
    • Network dynamics of ongoing social relationships
    • Holme P. Network dynamics of ongoing social relationships. Europhys. Lett. 2003, 64:427-433.
    • (2003) Europhys. Lett. , vol.64 , pp. 427-433
    • Holme, P.1
  • 23
    • 57349111694 scopus 로고    scopus 로고
    • Planetary-scale views on a large instant-messaging network, in: Proceedings of the 17th International World Wide Web Conference
    • J. Leskovec, E. Horvitz, Planetary-scale views on a large instant-messaging network, in: Proceedings of the 17th International World Wide Web Conference, 2008, pp. 915-924.
    • (2008) , pp. 915-924
    • Leskovec, J.1    Horvitz, E.2
  • 27
    • 79961052024 scopus 로고    scopus 로고
    • The dynamical strength of social ties in information spreading
    • Miritello G., Moro E., Lara R. The dynamical strength of social ties in information spreading. Phys. Rev. E 2011, 83:045102.
    • (2011) Phys. Rev. E , vol.83 , pp. 045102
    • Miritello, G.1    Moro, E.2    Lara, R.3
  • 28
    • 80052696932 scopus 로고    scopus 로고
    • Exploring temporal complex network metrics in mobile malware containment
    • in: 12th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WOWMOM
    • J. Tang, C. Mascolo, M. Musolesi, V. Latora, Exploring temporal complex network metrics in mobile malware containment, in: 12th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WOWMOM, 11, 2011.
    • (2011) , vol.11
    • Tang, J.1    Mascolo, C.2    Musolesi, M.3    Latora, V.4
  • 29
    • 33748871742 scopus 로고    scopus 로고
    • Tracking information epidemics in blogspace
    • in: Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
    • E. Adar, L.A. Adamic, Tracking information epidemics in blogspace, in: Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence, 2005, pp. 207-214.
    • (2005) , pp. 207-214
    • Adar, E.1    Adamic, L.A.2
  • 30
    • 43449135033 scopus 로고    scopus 로고
    • Why we twitter: understanding microblogging usage and communities
    • in: Proceedings of the 9th WebKDD and 1st SNA-KDD workshop on web mining and social network analysis
    • A. Java, X. Song, T. Finin, B. Tseng, Why we twitter: understanding microblogging usage and communities, in: Proceedings of the 9th WebKDD and 1st SNA-KDD workshop on web mining and social network analysis, 2007.
    • (2007)
    • Java, A.1    Song, X.2    Finin, T.3    Tseng, B.4
  • 31
    • 77954619566 scopus 로고    scopus 로고
    • What is Twitter, a social network or a news media? in: Proceedings of the 19th International World Wide Web Conference
    • H. Kwak, C. Lee, H. Park, S. Moon, What is Twitter, a social network or a news media? in: Proceedings of the 19th International World Wide Web Conference, 2010.
    • (2010)
    • Kwak, H.1    Lee, C.2    Park, H.3    Moon, S.4
  • 32
    • 42449155545 scopus 로고    scopus 로고
    • Tracing information flow on a global scale using Internet chain-letter data
    • Liben-Nowell D., Kleinberg J. Tracing information flow on a global scale using Internet chain-letter data. Proc. Natl. Acad. Sci. USA 2008, 105:4633-4638.
    • (2008) Proc. Natl. Acad. Sci. USA , vol.105 , pp. 4633-4638
    • Liben-Nowell, D.1    Kleinberg, J.2
  • 33
    • 84855833458 scopus 로고    scopus 로고
    • Circadian patterns of Wikipedia editorial activity: a demographic analysis
    • Yasseri T., Sumi R., Kertész J. Circadian patterns of Wikipedia editorial activity: a demographic analysis. PLoS ONE 2012, 7(1):e30091.
    • (2012) PLoS ONE , vol.7 , Issue.1
    • Yasseri, T.1    Sumi, R.2    Kertész, J.3
  • 39
    • 84866940423 scopus 로고    scopus 로고
    • On the dynamics of human proximity for data diffusion in ad-hoc networks
    • Special Issue on Social-Based Routing in Mobile and Delay-Tolerant Networks
    • Panisson A., Barrat A., Cattuto C., Van den Broeck W., Ruffo G., Schifanella R. On the dynamics of human proximity for data diffusion in ad-hoc networks. Ad Hoc Networks 2011, Special Issue on Social-Based Routing in Mobile and Delay-Tolerant Networks.
    • (2011) Ad Hoc Networks
    • Panisson, A.1    Barrat, A.2    Cattuto, C.3    Van den Broeck, W.4    Ruffo, G.5    Schifanella, R.6
  • 43
    • 35848946393 scopus 로고    scopus 로고
    • The contact network of inpatients in a regional health care system: a longitudinal case study
    • Liljeros F., Giesecke J., Holme P. The contact network of inpatients in a regional health care system: a longitudinal case study. Math. Population Stud. 2007, 14:269-284.
    • (2007) Math. Population Stud. , vol.14 , pp. 269-284
    • Liljeros, F.1    Giesecke, J.2    Holme, P.3
  • 44
    • 51349104775 scopus 로고    scopus 로고
    • Controlling nosocomial infection based on structure of hospital social networks
    • Ueno T., Masuda N. Controlling nosocomial infection based on structure of hospital social networks. J. Theoret. Biol. 2008, 254:655-666.
    • (2008) J. Theoret. Biol. , vol.254 , pp. 655-666
    • Ueno, T.1    Masuda, N.2
  • 46
    • 58149124231 scopus 로고    scopus 로고
    • Representing the UK's cattle herd as static and dynamic networks
    • Vernon M.C., Keeling M.J. Representing the UK's cattle herd as static and dynamic networks. Proc. R. Soc. B 2009, 276:469-476.
    • (2009) Proc. R. Soc. B , vol.276 , pp. 469-476
    • Vernon, M.C.1    Keeling, M.J.2
  • 51
    • 34247464637 scopus 로고    scopus 로고
    • Revealing static and dynamic modular architecture of the eukaryotic protein interaction network
    • Komurov K., White M. Revealing static and dynamic modular architecture of the eukaryotic protein interaction network. Mol. Syst. Biol. 2007, 3:110.
    • (2007) Mol. Syst. Biol. , vol.3 , pp. 110
    • Komurov, K.1    White, M.2
  • 52
    • 77957930628 scopus 로고    scopus 로고
    • Statistical inference of the time-varying structure of gene-regulation networks
    • Lèbre S., Becq J., Devaux F., Stumpf M.P.H., Lelandais G. Statistical inference of the time-varying structure of gene-regulation networks. BMC Syst. Biol. 2010, 4:130.
    • (2010) BMC Syst. Biol. , vol.4 , pp. 130
    • Lèbre, S.1    Becq, J.2    Devaux, F.3    Stumpf, M.P.H.4    Lelandais, G.5
  • 53
    • 84866934189 scopus 로고    scopus 로고
    • Inferring dynamic bayesian network with low order independencies
    • Lèbre S. Inferring dynamic bayesian network with low order independencies. Stat. Appl. Genet. Mol. Biol. 2009, 8:9.
    • (2009) Stat. Appl. Genet. Mol. Biol. , vol.8 , pp. 9
    • Lèbre, S.1
  • 56
    • 55749116150 scopus 로고    scopus 로고
    • Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network
    • Chechik G., Oh E., Rando O., Weissman J., Regev A., Koller D. Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network. Nature Biotechnol. 2008, 26:1251-1259.
    • (2008) Nature Biotechnol. , vol.26 , pp. 1251-1259
    • Chechik, G.1    Oh, E.2    Rando, O.3    Weissman, J.4    Regev, A.5    Koller, D.6
  • 61
    • 60549103853 scopus 로고    scopus 로고
    • Complex brain networks: graph theoretical analysis of structural and functional systems
    • Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Rev. Neurosci. 2009, 10:186.
    • (2009) Nature Rev. Neurosci. , vol.10 , pp. 186
    • Bullmore, E.1    Sporns, O.2
  • 62
    • 44449110098 scopus 로고    scopus 로고
    • Persistent patterns of interconnection in time-varying cortical networks estimated from high-resolution eeg recordings in humans during a simple motor act
    • de Vico Fallani F., Latora V., Astolfi L., Cincotti F., Mattia D., Marciani M.G., Salinari S., Colosimo A., Babiloni F. Persistent patterns of interconnection in time-varying cortical networks estimated from high-resolution eeg recordings in humans during a simple motor act. J. Phys. A 2008, 41:224014.
    • (2008) J. Phys. A , vol.41 , pp. 224014
    • de Vico Fallani, F.1    Latora, V.2    Astolfi, L.3    Cincotti, F.4    Mattia, D.5    Marciani, M.G.6    Salinari, S.7    Colosimo, A.8    Babiloni, F.9
  • 63
    • 44849116262 scopus 로고    scopus 로고
    • Dynamic small-world behavior in functional brain networks unveiled by an event-related networks approach
    • Valencia M., Martinerie J., Dupont S., Chavez M. Dynamic small-world behavior in functional brain networks unveiled by an event-related networks approach. Phys. Rev. E 2008, 77:050905.
    • (2008) Phys. Rev. E , vol.77 , pp. 050905
    • Valencia, M.1    Martinerie, J.2    Dupont, S.3    Chavez, M.4
  • 67
    • 79951589556 scopus 로고    scopus 로고
    • Inter-subject correlation of brain hemodynamic responses during watching a movie: localization in space and frequency
    • Kauppi J.-P., Jääskeläinen I., Sams M., Tohka J. Inter-subject correlation of brain hemodynamic responses during watching a movie: localization in space and frequency. J. Neuroinformatics 2009, 4:5.
    • (2009) J. Neuroinformatics , vol.4 , pp. 5
    • Kauppi, J.-P.1    Jääskeläinen, I.2    Sams, M.3    Tohka, J.4
  • 68
    • 36849058149 scopus 로고    scopus 로고
    • A framework for community identification in dynamical social networks
    • in: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
    • C. Tantipathananandh, T.Y. Berger-Wolf, D. Kempe, A framework for community identification in dynamical social networks, in: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007, pp. 717-726.
    • (2007) , pp. 717-726
    • Tantipathananandh, C.1    Berger-Wolf, T.Y.2    Kempe, D.3
  • 74
    • 9544245816 scopus 로고    scopus 로고
    • Quantitative methods for ecological network analysis
    • Ulanowicz R.E. Quantitative methods for ecological network analysis. Comp. Biol. Chem. 2004, 28:321-339.
    • (2004) Comp. Biol. Chem. , vol.28 , pp. 321-339
    • Ulanowicz, R.E.1
  • 75
    • 0043094308 scopus 로고    scopus 로고
    • Rapid evolution drives ecological dynamics in a predator-prey system
    • Yoshida T., Jones L.E., Ellner S.P., Fussmann G.F., Hairston N.G. Rapid evolution drives ecological dynamics in a predator-prey system. Nature 2003, 424:303-306.
    • (2003) Nature , vol.424 , pp. 303-306
    • Yoshida, T.1    Jones, L.E.2    Ellner, S.P.3    Fussmann, G.F.4    Hairston, N.G.5
  • 76
    • 0042311400 scopus 로고    scopus 로고
    • The bottlenose dolphin community of Doubtful Sound features a large proportion of long-lasting associations
    • Lusseau D., Schneider K., Boisseau O.J., Haase P., Slooten E., Dawson S.M. The bottlenose dolphin community of Doubtful Sound features a large proportion of long-lasting associations. Behav. Ecol. Sociobiol. 2003, 54:396-405.
    • (2003) Behav. Ecol. Sociobiol. , vol.54 , pp. 396-405
    • Lusseau, D.1    Schneider, K.2    Boisseau, O.J.3    Haase, P.4    Slooten, E.5    Dawson, S.M.6
  • 77
    • 17044423397 scopus 로고    scopus 로고
    • Social network in the guppy (Poecilia reticulata)
    • Croft D.P., Krause J., James R. Social network in the guppy (Poecilia reticulata). Proc. R. Soc. B. 2004, 271:S516-S519.
    • (2004) Proc. R. Soc. B. , vol.271
    • Croft, D.P.1    Krause, J.2    James, R.3
  • 78
    • 79956336400 scopus 로고    scopus 로고
    • Time-ordered networks reveal limitations to information flow in ant colonies
    • Blonder B., Dornhaus A. Time-ordered networks reveal limitations to information flow in ant colonies. PLoS One 2011, 6:e20298.
    • (2011) PLoS One , vol.6
    • Blonder, B.1    Dornhaus, A.2
  • 80
    • 0001781779 scopus 로고
    • Dynamic network models for forecasting
    • in: Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence
    • P. Dagum, A. Galper, E. Horvitz, Dynamic network models for forecasting, in: Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence, 1992, pp. 41-48.
    • (1992) , pp. 41-48
    • Dagum, P.1    Galper, A.2    Horvitz, E.3
  • 81
    • 82455174855 scopus 로고    scopus 로고
    • Temporal effects in the growth of networks
    • Medo M., Cimini G., Gualdi S. Temporal effects in the growth of networks. Phys. Rev. Lett. 2011, 107:238701.
    • (2011) Phys. Rev. Lett. , vol.107 , pp. 238701
    • Medo, M.1    Cimini, G.2    Gualdi, S.3
  • 82
    • 84866936101 scopus 로고    scopus 로고
    • Modeling and analysis of time-varying graphs, e-print.
    • P. Basu, A. Bar-Noy, R. Ramanathan, M.P. Johnson, Modeling and analysis of time-varying graphs, e-print arxiv:1012.0260.
    • Basu, P.1    Bar-Noy, A.2    Ramanathan, R.3    Johnson, M.P.4
  • 83
    • 79960343355 scopus 로고    scopus 로고
    • Time-varying graphs and dynamic networks
    • in: Proceedings of the 10th International Conference on Adhoc Networks and Wireless, ADHOC-NOW
    • A. Casteigts, P. Flocchini, W. Quattrociocchi, N. Santoro, Time-varying graphs and dynamic networks, in: Proceedings of the 10th International Conference on Adhoc Networks and Wireless, ADHOC-NOW, 2011, pp. 346-359.
    • (2011) , pp. 346-359
    • Casteigts, A.1    Flocchini, P.2    Quattrociocchi, W.3    Santoro, N.4
  • 84
    • 1942450221 scopus 로고    scopus 로고
    • Computing shortest, fastest, and foremost journeys in dynamic network
    • Bui Xuan B., Ferreira A., Jarry A. Computing shortest, fastest, and foremost journeys in dynamic network. Internat. J. Found Comput. Sci. 2002, 14:267-285.
    • (2002) Internat. J. Found Comput. Sci. , vol.14 , pp. 267-285
    • Bui Xuan, B.1    Ferreira, A.2    Jarry, A.3
  • 87
    • 18144395878 scopus 로고    scopus 로고
    • Connectivity and inference problems for temporal networks
    • Kempe D., Kleinberg J., Kumar A. Connectivity and inference problems for temporal networks. J. Comput. System Sci. 2002, 64:820.
    • (2002) J. Comput. System Sci. , vol.64 , pp. 820
    • Kempe, D.1    Kleinberg, J.2    Kumar, A.3
  • 88
    • 1842661569 scopus 로고    scopus 로고
    • Structure and time-evolution of an Internet dating community
    • Holme P., Edling C.E., Liljeros F. Structure and time-evolution of an Internet dating community. Social Networks 2004, 26:155-174.
    • (2004) Social Networks , vol.26 , pp. 155-174
    • Holme, P.1    Edling, C.E.2    Liljeros, F.3
  • 90
    • 84867931189 scopus 로고    scopus 로고
    • Time-stamped graphs and their associated influence digraphs
    • Cheng E., Grossman J.W., Lipman M.J. Time-stamped graphs and their associated influence digraphs. Discrete Appl. Math. 2003, 128:317-335.
    • (2003) Discrete Appl. Math. , vol.128 , pp. 317-335
    • Cheng, E.1    Grossman, J.W.2    Lipman, M.J.3
  • 91
    • 41349102707 scopus 로고    scopus 로고
    • Network reachability of real-world contact sequences
    • Holme P. Network reachability of real-world contact sequences. Phys. Rev. E 2005, 71:046119.
    • (2005) Phys. Rev. E , vol.71 , pp. 046119
    • Holme, P.1
  • 92
    • 0034849172 scopus 로고    scopus 로고
    • Methods and measures for the description of epidemiological contact networks
    • Riolo C.S., Koopman J.S., Chick J.S. Methods and measures for the description of epidemiological contact networks. J. Urban Health 2001, 78:446-457.
    • (2001) J. Urban Health , vol.78 , pp. 446-457
    • Riolo, C.S.1    Koopman, J.S.2    Chick, J.S.3
  • 93
    • 0036749987 scopus 로고    scopus 로고
    • The importance of relationship timing for diffusion
    • Moody J. The importance of relationship timing for diffusion. Social Forces 2002, 81:25-56.
    • (2002) Social Forces , vol.81 , pp. 25-56
    • Moody, J.1
  • 95
    • 0009349631 scopus 로고
    • The shortest route through a network with time-dependent internodal transit times
    • Cooke K.L., Halsey E. The shortest route through a network with time-dependent internodal transit times. J. Math. Anal. Appl. 1966, 493.
    • (1966) J. Math. Anal. Appl. , pp. 493
    • Cooke, K.L.1    Halsey, E.2
  • 96
    • 0017996760 scopus 로고
    • Time, clocks, and the ordering of events in a distributed system
    • Lamport L. Time, clocks, and the ordering of events in a distributed system. Comm. ACM 1978, 21:558-565.
    • (1978) Comm. ACM , vol.21 , pp. 558-565
    • Lamport, L.1
  • 97
    • 0003055324 scopus 로고
    • Virtual time and global states of distributed systems
    • in: Workshop on Parallel and Distributed Algorithms.
    • F. Mattern, Virtual time and global states of distributed systems, in: Workshop on Parallel and Distributed Algorithms., 1989.
    • (1989)
    • Mattern, F.1
  • 98
    • 65449153304 scopus 로고    scopus 로고
    • The structure of information pathways in a social communication network
    • in: Proc. 14th ACM SIGKKD Intl. Conf. on Knowledge Discovery and Data Mining
    • G. Kossinets, J. Kleinberg, D.J. Watts, The structure of information pathways in a social communication network, in: Proc. 14th ACM SIGKKD Intl. Conf. on Knowledge Discovery and Data Mining, 2008, pp. 435-443.
    • (2008) , pp. 435-443
    • Kossinets, G.1    Kleinberg, J.2    Watts, D.J.3
  • 99
    • 84995487609 scopus 로고    scopus 로고
    • Temporal distance metrics for social network analysis
    • in: Proceedings of the 2nd ACM SIGCOMM Workshop on Online Social Networks
    • J. Tang, M. Musolesi, C. Mascolo, V. Latora, Temporal distance metrics for social network analysis, in: Proceedings of the 2nd ACM SIGCOMM Workshop on Online Social Networks, 2009, p. 3.
    • (2009) , pp. 3
    • Tang, J.1    Musolesi, M.2    Mascolo, C.3    Latora, V.4
  • 100
    • 58149352263 scopus 로고    scopus 로고
    • Temporal graphs
    • Kostakos V. Temporal graphs. Physica A 2009, 388:1007-1023.
    • (2009) Physica A , vol.388 , pp. 1007-1023
    • Kostakos, V.1
  • 101
    • 56749182797 scopus 로고    scopus 로고
    • Diameter of opportunistic mobile networks
    • in: Proceedings of ACM Sigcomm CoNext
    • A. Chaintreau, A. Mtibaa, L. Massoulié, C. Diot, Diameter of opportunistic mobile networks, in: Proceedings of ACM Sigcomm CoNext, 2007.
    • (2007)
    • Chaintreau, A.1    Mtibaa, A.2    Massoulié, L.3    Diot, C.4
  • 103
    • 76249086506 scopus 로고    scopus 로고
    • Decomposition algorithm for global reachability analysis on a time-varying graph with an application to planetary exploration
    • in: International Conference on Intelligent Robots and Systems
    • Y. Kuwata, L. Blackmore, M. Wolf, N. Fathpour, C. Newman, A. Elfes, Decomposition algorithm for global reachability analysis on a time-varying graph with an application to planetary exploration, in: International Conference on Intelligent Robots and Systems, 2009.
    • (2009)
    • Kuwata, Y.1    Blackmore, L.2    Wolf, M.3    Fathpour, N.4    Newman, C.5    Elfes, A.6
  • 104
    • 77958028567 scopus 로고    scopus 로고
    • Analysing information flows and key mediators through temporal centrality metrics
    • in: Proceeding of the 3rd ACM EuroSys Workshop on Social Networks Systems, SNS'10
    • J. Tang, M. Musolesi, C. Mascolo, V. Latora, V. Nicosia, Analysing information flows and key mediators through temporal centrality metrics, in: Proceeding of the 3rd ACM EuroSys Workshop on Social Networks Systems, SNS'10, 2010, p. 3.
    • (2010) , pp. 3
    • Tang, J.1    Musolesi, M.2    Mascolo, C.3    Latora, V.4    Nicosia, V.5
  • 105
    • 79961047986 scopus 로고    scopus 로고
    • Dynamic model of time-dependent complex networks
    • Hill S.A., Braha D. Dynamic model of time-dependent complex networks. Phys. Rev. E 2010, 82:046105.
    • (2010) Phys. Rev. E , vol.82 , pp. 046105
    • Hill, S.A.1    Braha, D.2
  • 109
    • 84866923802 scopus 로고    scopus 로고
    • Persistence and periodicity in a dynamic proximity network
    • in: DIMACS Workshop on Computational Methods for Dynamic Interaction Networks, DIMACS, Piscataway NJ
    • A. Clauset, N. Eagle, Persistence and periodicity in a dynamic proximity network, in: DIMACS Workshop on Computational Methods for Dynamic Interaction Networks, DIMACS, Piscataway NJ, 2007.
    • (2007)
    • Clauset, A.1    Eagle, N.2
  • 110
    • 34249079154 scopus 로고    scopus 로고
    • Network motifs: theory and experimental approaches
    • Alon U. Network motifs: theory and experimental approaches. Nature Rev. Genetics 2007, 450-461.
    • (2007) Nature Rev. Genetics , pp. 450-461
    • Alon, U.1
  • 111
    • 84866898256 scopus 로고    scopus 로고
    • Time-dependent complex networks: dynamic centrality, dynamic motifs, and cycles of social interaction
    • Springer, Dordrecht, T. Gross, H. Sayama (Eds.)
    • Braha D., Bar-Yam Y. Time-dependent complex networks: dynamic centrality, dynamic motifs, and cycles of social interaction. Adaptive Networks: Theory, Models and Applications 2008, 39-50. Springer, Dordrecht. T. Gross, H. Sayama (Eds.).
    • (2008) Adaptive Networks: Theory, Models and Applications , pp. 39-50
    • Braha, D.1    Bar-Yam, Y.2
  • 112
    • 78651292681 scopus 로고    scopus 로고
    • Communication motifs: A tool to characterize social communications
    • in: Proceedings of the 19th ACM International Conference on Information and Knowledge Management
    • Q. Zhao, Y. Tian, Q. He, N. Oliver, R. Jin, W.-C. Lee, Communication motifs: A tool to characterize social communications, in: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, 2010, p. 1645.
    • (2010) , pp. 1645
    • Zhao, Q.1    Tian, Y.2    He, Q.3    Oliver, N.4    Jin, R.5    Lee, W.-C.6
  • 114
    • 2942624225 scopus 로고    scopus 로고
    • Probing human response times
    • Johansen A. Probing human response times. Physica A 2004, 330:286-291.
    • (2004) Physica A , vol.330 , pp. 286-291
    • Johansen, A.1
  • 115
    • 27644509210 scopus 로고    scopus 로고
    • Human dynamics: Darwin and Einstein correspondence patterns
    • Oliveira J.G., Barabási A.-L. Human dynamics: Darwin and Einstein correspondence patterns. Nature 2005, 437:1251.
    • (2005) Nature , vol.437 , pp. 1251
    • Oliveira, J.G.1    Barabási, A.-L.2
  • 117
    • 79051469396 scopus 로고    scopus 로고
    • Burstiness and memory in complex systems
    • Goh K.-I., Barabási A.-L. Burstiness and memory in complex systems. EPL 2008, 81:48002.
    • (2008) EPL , vol.81 , pp. 48002
    • Goh, K.-I.1    Barabási, A.-L.2
  • 118
    • 77749239782 scopus 로고    scopus 로고
    • Mapping change in large networks
    • Rosvall M., Bergstrom C.T. Mapping change in large networks. PLoS One 2010, 5:e8694.
    • (2010) PLoS One , vol.5 , pp. 8694
    • Rosvall, M.1    Bergstrom, C.T.2
  • 119
    • 33947124692 scopus 로고    scopus 로고
    • On entropy measures for dynamic network topologies: limits to MANET
    • in: Proceedings of the sixth Australian Communications Theory Workshop
    • R. Timo, K. Blackmore, L. Hanlen, On entropy measures for dynamic network topologies: limits to MANET, in: Proceedings of the sixth Australian Communications Theory Workshop, 2005, pp. 95-101.
    • (2005) , pp. 95-101
    • Timo, R.1    Blackmore, K.2    Hanlen, L.3
  • 121
    • 7044264926 scopus 로고    scopus 로고
    • Chains of affection: the structure of adolescent romantic and sexual networks
    • Bearman P., Moody J., Stovel K. Chains of affection: the structure of adolescent romantic and sexual networks. American J. Sociology 2004, 110:44-91.
    • (2004) American J. Sociology , vol.110 , pp. 44-91
    • Bearman, P.1    Moody, J.2    Stovel, K.3
  • 122
    • 0037297684 scopus 로고    scopus 로고
    • Sexual networks: Implications for the transmission of sexually transmitted infections
    • Liljeros F., Edling C.E., Amaral L.A.N. Sexual networks: Implications for the transmission of sexually transmitted infections. Microbes and Infections 2003, 5:189-196.
    • (2003) Microbes and Infections , vol.5 , pp. 189-196
    • Liljeros, F.1    Edling, C.E.2    Amaral, L.A.N.3
  • 123
    • 34147137805 scopus 로고    scopus 로고
    • An introduction to exponential random graph models for social networks
    • Robins G., Pattison P., Kalish Y., Lusher D. An introduction to exponential random graph models for social networks. Social Networks 2006, 29:173-191.
    • (2006) Social Networks , vol.29 , pp. 173-191
    • Robins, G.1    Pattison, P.2    Kalish, Y.3    Lusher, D.4
  • 124
    • 79953757964 scopus 로고    scopus 로고
    • Discrete temporal models of social networks
    • Workshop on statistical network analysis, in: Proceedings of the 23rd International Conference on Machine Learning, ICML-SNA
    • S. Hanneke, E.P. Xing, Discrete temporal models of social networks. Workshop on statistical network analysis, in: Proceedings of the 23rd International Conference on Machine Learning, ICML-SNA, 2006.
    • (2006)
    • Hanneke, S.1    Xing, E.P.2
  • 125
    • 34547980513 scopus 로고    scopus 로고
    • Recovering temporally rewiring networks: a model-based approach
    • in: International Conference of Machine Learning
    • F. Guo, S. Hanneke, W. Fu, E.P. Xing, Recovering temporally rewiring networks: a model-based approach, in: International Conference of Machine Learning, 2007.
    • (2007)
    • Guo, F.1    Hanneke, S.2    Fu, W.3    Xing, E.P.4
  • 127
    • 77749328156 scopus 로고    scopus 로고
    • Dynamical and bursty interactions in social networks
    • Stehlé J., Barrat A., Bianconi G. Dynamical and bursty interactions in social networks. Phys. Rev. E 2010, 81:035101.
    • (2010) Phys. Rev. E , vol.81 , pp. 035101
    • Stehlé, J.1    Barrat, A.2    Bianconi, G.3
  • 128
    • 79961056471 scopus 로고    scopus 로고
    • Social network dynamics of face-to-face interactions
    • Zhao K., Stehlé J., Bianconi G., Barrat A. Social network dynamics of face-to-face interactions. Phys. Rev. E 2011, 83:056109.
    • (2011) Phys. Rev. E , vol.83 , pp. 056109
    • Zhao, K.1    Stehlé, J.2    Bianconi, G.3    Barrat, A.4
  • 129
    • 80051621748 scopus 로고    scopus 로고
    • Emergence of bursts and communities in evolving weighted networks
    • Jo H.-H., Pan R.K., Kaski K. Emergence of bursts and communities in evolving weighted networks. PLoS One 2011, 6:e22687.
    • (2011) PLoS One , vol.6
    • Jo, H.-H.1    Pan, R.K.2    Kaski, K.3
  • 131
    • 36549089548 scopus 로고    scopus 로고
    • Susceptible-infected-recovered epidemics in dynamic contact networks
    • Volz E., Meyers L.A. Susceptible-infected-recovered epidemics in dynamic contact networks. Proc. Roy. Soc. B 2007, 274:2925-2934.
    • (2007) Proc. Roy. Soc. B , vol.274 , pp. 2925-2934
    • Volz, E.1    Meyers, L.A.2
  • 132
    • 0029662516 scopus 로고    scopus 로고
    • Measures of concurrency in networks and the spread of infectious disease
    • Kretzschmar M., Morris M. Measures of concurrency in networks and the spread of infectious disease. Math. Biosci. 1996, 133:165-195.
    • (1996) Math. Biosci. , vol.133 , pp. 165-195
    • Kretzschmar, M.1    Morris, M.2
  • 134
    • 0000522884 scopus 로고
    • Concurrent partnerships and transmission dynamics in networks
    • Morris M., Kretzschmar M. Concurrent partnerships and transmission dynamics in networks. Social Networks 1995, 17:299-318.
    • (1995) Social Networks , vol.17 , pp. 299-318
    • Morris, M.1    Kretzschmar, M.2
  • 135
    • 33744797645 scopus 로고    scopus 로고
    • Number of sexual encounters involving intercourse and the transmission of sexually transmitted infections
    • Nordvik M.K., Liljeros F. Number of sexual encounters involving intercourse and the transmission of sexually transmitted infections. Sexually Transmitted Diseases 2006, 33:342-349.
    • (2006) Sexually Transmitted Diseases , vol.33 , pp. 342-349
    • Nordvik, M.K.1    Liljeros, F.2
  • 136
    • 41349093091 scopus 로고    scopus 로고
    • Dynamical random graphs with memory
    • Turova T.S. Dynamical random graphs with memory. Phys. Rev. E 2002, 65:066102.
    • (2002) Phys. Rev. E , vol.65 , pp. 066102
    • Turova, T.S.1
  • 138
    • 73649133526 scopus 로고    scopus 로고
    • Introduction to stochastic actor-based models for network dynamics
    • Snijders T.A.B., van de Bunt G.G., Steglich C.E.G. Introduction to stochastic actor-based models for network dynamics. Social Networks 2010, 32:44-60.
    • (2010) Social Networks , vol.32 , pp. 44-60
    • Snijders, T.A.B.1    van de Bunt, G.G.2    Steglich, C.E.G.3
  • 139
    • 0025844446 scopus 로고
    • High time-resolution measurement and analysis of LAN traffic: implications for lan interconnection
    • in: Proceedings of InfoCom91
    • W.E. Leland, D.V. Wilson, High time-resolution measurement and analysis of LAN traffic: implications for lan interconnection, in: Proceedings of InfoCom91, 1991, pp. 1360-1366.
    • (1991) , pp. 1360-1366
    • Leland, W.E.1    Wilson, D.V.2
  • 141
    • 84856478934 scopus 로고    scopus 로고
    • Circadian pattern and burstiness in human communication activity
    • Jo H.-H., Karsai M., Kertész J., Kaski K. Circadian pattern and burstiness in human communication activity. New J. Phys. 2012, 14:013055.
    • (2012) New J. Phys. , vol.14 , pp. 013055
    • Jo, H.-H.1    Karsai, M.2    Kertész, J.3    Kaski, K.4
  • 142
    • 84862950631 scopus 로고    scopus 로고
    • Relative clock verifies endogenous bursts of human dynamics
    • Zhou T., Zhao Z.-D., Yang Z., Zhou C. Relative clock verifies endogenous bursts of human dynamics. EPL 2012, 97:18006.
    • (2012) EPL , vol.97 , pp. 18006
    • Zhou, T.1    Zhao, Z.-D.2    Yang, Z.3    Zhou, C.4
  • 143
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of 'small-world' networks
    • Watts D.J., Strogatz S.H. Collective dynamics of 'small-world' networks. Nature 1998, 393:409-410.
    • (1998) Nature , vol.393 , pp. 409-410
    • Watts, D.J.1    Strogatz, S.H.2
  • 144
    • 0035794256 scopus 로고    scopus 로고
    • Epidemic spreading in scale-free networks
    • Pastor-Satorras R., Vespignani A. Epidemic spreading in scale-free networks. Phys. Rev. Lett. 2001, 86:3200-3203.
    • (2001) Phys. Rev. Lett. , vol.86 , pp. 3200-3203
    • Pastor-Satorras, R.1    Vespignani, A.2
  • 145
  • 146
    • 2942562709 scopus 로고    scopus 로고
    • Epidemic spreading in complex networks with degree correlations
    • Springer, Berlin, R. Pastor-Satorras, M. Rubi, A. Diaz-Guilera (Eds.)
    • Boguñá M., Pastor-Satorras R., Vespignani A. Epidemic spreading in complex networks with degree correlations. Statistical Mechanics of Complex Networks 2003, 127-147. Springer, Berlin. R. Pastor-Satorras, M. Rubi, A. Diaz-Guilera (Eds.).
    • (2003) Statistical Mechanics of Complex Networks , pp. 127-147
    • Boguñá, M.1    Pastor-Satorras, R.2    Vespignani, A.3
  • 147
    • 77649196314 scopus 로고    scopus 로고
    • Dynamic networks from hierarchical Bayesian graph clustering
    • Park Y., Moore C., Bader J.S. Dynamic networks from hierarchical Bayesian graph clustering. PLoS One 2010, 5:e8118.
    • (2010) PLoS One , vol.5
    • Park, Y.1    Moore, C.2    Bader, J.S.3
  • 149
    • 0034486891 scopus 로고    scopus 로고
    • The mathematics of infectious diseases
    • Hethcote H.W. The mathematics of infectious diseases. SIAM Rev. 2000, 42:599.
    • (2000) SIAM Rev. , vol.42 , pp. 599
    • Hethcote, H.W.1
  • 150
    • 79955102913 scopus 로고    scopus 로고
    • The dynamic nature of contact networks in infectious disease epidemiology
    • Bansal S., Read J., Pourbohloul B., Meyers L.A. The dynamic nature of contact networks in infectious disease epidemiology. J. Biol. Dynam. 2010, 4:478-489.
    • (2010) J. Biol. Dynam. , vol.4 , pp. 478-489
    • Bansal, S.1    Read, J.2    Pourbohloul, B.3    Meyers, L.A.4
  • 151
    • 79953142517 scopus 로고    scopus 로고
    • Spreading dynamics following bursty human activity patterns
    • Min B., Goh K.-I., Vazquez A. Spreading dynamics following bursty human activity patterns. Phys. Rev. E 2011, 83:036102.
    • (2011) Phys. Rev. E , vol.83 , pp. 036102
    • Min, B.1    Goh, K.-I.2    Vazquez, A.3
  • 152
    • 81555209062 scopus 로고    scopus 로고
    • Branching dynamics of viral information spreading
    • Iribarren J.L., Moro E. Branching dynamics of viral information spreading. Phys. Rev. E 2011, 84:046116.
    • (2011) Phys. Rev. E , vol.84 , pp. 046116
    • Iribarren, J.L.1    Moro, E.2
  • 154
    • 79961100473 scopus 로고    scopus 로고
    • Miguel, Update rules and interevent time distributions: slow ordering versus no ordering in the voter model
    • Gracia J.F., Egu'iluz V.M., San M. Miguel, Update rules and interevent time distributions: slow ordering versus no ordering in the voter model. Phys. Rev. E 2011, 015103.
    • (2011) Phys. Rev. E , pp. 015103
    • Gracia, J.F.1    Egu'iluz, V.M.2    San, M.3
  • 155
    • 79953671188 scopus 로고    scopus 로고
    • Simulated epidemics in an empirical spatiotemporal network of 50,185 sexual contacts
    • Rocha L.E.C., Liljeros F., Holme P. Simulated epidemics in an empirical spatiotemporal network of 50,185 sexual contacts. PloS Comp. Biol. 2011, e1001109.
    • (2011) PloS Comp. Biol.
    • Rocha, L.E.C.1    Liljeros, F.2    Holme, P.3
  • 156
    • 41349106348 scopus 로고    scopus 로고
    • Spread of epidemic disease on networks
    • Newman M.E.J. Spread of epidemic disease on networks. Phys. Rev. E 2002, 66:16128.
    • (2002) Phys. Rev. E , vol.66 , pp. 16128
    • Newman, M.E.J.1
  • 157
    • 34848857029 scopus 로고    scopus 로고
    • Second look at the spread of epidemics on networks
    • Kenah E., Robins J.M. Second look at the spread of epidemics on networks. Phys. Rev. E 2007, 76:036113.
    • (2007) Phys. Rev. E , vol.76 , pp. 036113
    • Kenah, E.1    Robins, J.M.2
  • 158
    • 78649648877 scopus 로고    scopus 로고
    • Untangling the interplay between epidemic spread and transmission network dynamics
    • Kamp C. Untangling the interplay between epidemic spread and transmission network dynamics. PLoS Comp. Biol. 2010, e1000984.
    • (2010) PLoS Comp. Biol.
    • Kamp, C.1
  • 159
    • 0942268259 scopus 로고    scopus 로고
    • Efficient immunization strategies for computer networks and populations
    • Cohen R., Havlin S., Ben-Avraham D. Efficient immunization strategies for computer networks and populations. Phys. Rev. Lett. 2003, 91:247901.
    • (2003) Phys. Rev. Lett. , vol.91 , pp. 247901
    • Cohen, R.1    Havlin, S.2    Ben-Avraham, D.3
  • 160
    • 84866936100 scopus 로고    scopus 로고
    • Exploiting temporal network structures of human interaction to effectively immunize populations, e-print.
    • S. Lee, L.E.C. Rocha, F. Liljeros, P. Holme, Exploiting temporal network structures of human interaction to effectively immunize populations, e-print arxiv:1011.3928.
    • Lee, S.1    Rocha, L.E.C.2    Liljeros, F.3    Holme, P.4
  • 161
    • 3242889980 scopus 로고    scopus 로고
    • Polynomial epidemics and clustering in contact networks
    • Szendroi B., Csanyi G. Polynomial epidemics and clustering in contact networks. Proc. Roy. Soc. B 2004, 271:S364-S366.
    • (2004) Proc. Roy. Soc. B , vol.271
    • Szendroi, B.1    Csanyi, G.2
  • 162
    • 38349157799 scopus 로고    scopus 로고
    • Adaptive coevolutionary networks: a review
    • Gross T., Blasius B. Adaptive coevolutionary networks: a review. J. Roy. Soc. Interface 2008, 5:259-271.
    • (2008) J. Roy. Soc. Interface , vol.5 , pp. 259-271
    • Gross, T.1    Blasius, B.2
  • 163
    • 0040749676 scopus 로고    scopus 로고
    • Vulnerability of scheduled networks and a generalization of menger's theorem
    • Berman K. Vulnerability of scheduled networks and a generalization of menger's theorem. Networks 1996, 28:125-134.
    • (1996) Networks , vol.28 , pp. 125-134
    • Berman, K.1
  • 164
    • 74049087026 scopus 로고    scopus 로고
    • Community detection in graphs
    • Fortunato S. Community detection in graphs. Phys. Rep. 2010, 486:75-174.
    • (2010) Phys. Rep. , vol.486 , pp. 75-174
    • Fortunato, S.1
  • 165
    • 77952328459 scopus 로고    scopus 로고
    • Community structure in time-dependent, multiscale, and multiplex networks
    • Mucha P.J., Richardson T., Macon K., Porter M.A., Onnela J.-P. Community structure in time-dependent, multiscale, and multiplex networks. Science 2010, 328:876-878.
    • (2010) Science , vol.328 , pp. 876-878
    • Mucha, P.J.1    Richardson, T.2    Macon, K.3    Porter, M.A.4    Onnela, J.-P.5
  • 166
    • 34247223815 scopus 로고    scopus 로고
    • Quantifying social group evolution
    • Palla G., Barabási A.-L., Vicsek T. Quantifying social group evolution. Nature 2007, 446:664-667.
    • (2007) Nature , vol.446 , pp. 664-667
    • Palla, G.1    Barabási, A.-L.2    Vicsek, T.3
  • 167
    • 80455129373 scopus 로고    scopus 로고
    • Detecting hidden spatial and spatio-temporal structures in glasses and complex physical systems by multiresolution network clustering
    • Ronhovde P., Chakrabarty S., Hu D., Sahu M., Kelton K.F., Mauro N.A., Sahu K.K., Nussinov Z. Detecting hidden spatial and spatio-temporal structures in glasses and complex physical systems by multiresolution network clustering. Eur. Phys. J. B 2011, 34:105.
    • (2011) Eur. Phys. J. B , vol.34 , pp. 105
    • Ronhovde, P.1    Chakrabarty, S.2    Hu, D.3    Sahu, M.4    Kelton, K.F.5    Mauro, N.A.6    Sahu, K.K.7    Nussinov, Z.8
  • 168
    • 57349153901 scopus 로고    scopus 로고
    • Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
    • in: Proceedings of the 17th International Conference on World Wide Web
    • Y.-R. Lin, Y. Chi, S. Zhu, H. Sundaram, B.L. Tseng, Facetnet: a framework for analyzing communities and their evolutions in dynamic networks, in: Proceedings of the 17th International Conference on World Wide Web, 2008, pp. 685-694.
    • (2008) , pp. 685-694
    • Lin, Y.-R.1    Chi, Y.2    Zhu, S.3    Sundaram, H.4    Tseng, B.L.5
  • 169
    • 33745668441 scopus 로고    scopus 로고
    • An experimental comparison of fast algorithms for drawing general large graphs
    • Hachul S., Jünger M. An experimental comparison of fast algorithms for drawing general large graphs. Lect. Notes Comput. Sci. 2006, 3843:235-250.
    • (2006) Lect. Notes Comput. Sci. , vol.3843 , pp. 235-250
    • Hachul, S.1    Jünger, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.