메뉴 건너뛰기




Volumn , Issue , 2015, Pages 431-441

Topological properties and temporal dynamics of place networks in urban environments

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED COMPUTER SYSTEMS; LOCATION BASED SERVICES; MOBILE TELECOMMUNICATION SYSTEMS; SEMANTICS; TELECOMMUNICATION SERVICES; TOPOLOGY; URBAN PLANNING; WORLD WIDE WEB;

EID: 84962429797     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2740908.2745402     Document Type: Conference Paper
Times cited : (45)

References (46)
  • 1
    • 10944272139 scopus 로고    scopus 로고
    • Friends and neighbors on the web
    • L. Adamic and E. Adar. Friends and neighbors on the web. Social networks, 25(3):211-230, 2003.
    • (2003) Social Networks , vol.25 , Issue.3 , pp. 211-230
    • Adamic, L.1    Adar, E.2
  • 2
    • 79551627200 scopus 로고    scopus 로고
    • Human mobility networks, travel restrictions, and the global spread of 2009 h1n1 pandemic
    • P. Bajardi, C. Poletto, J. Ramasco, M. Tizzoni, V. Colizza, and A. Vespignani. Human mobility networks, travel restrictions, and the global spread of 2009 h1n1 pandemic. PloS ONE, 6(1):e16591, 2011.
    • (2011) PloS ONE , vol.6 , Issue.1 , pp. e16591
    • Bajardi, P.1    Poletto, C.2    Ramasco, J.3    Tizzoni, M.4    Colizza, V.5    Vespignani, A.6
  • 4
    • 84879264406 scopus 로고    scopus 로고
    • The origins of scaling in cities
    • L. Bettencourt. The origins of scaling in cities. Science, 340(6139):1438-1441, 2013.
    • (2013) Science , vol.340 , Issue.6139 , pp. 1438-1441
    • Bettencourt, L.1
  • 6
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine learning, 45(1):5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 7
    • 31444431866 scopus 로고    scopus 로고
    • The scaling laws of human travel
    • D. Brockmann, L. Hufnagel, and T. Geisel. The scaling laws of human travel. Nature, 439(7075):462-465, 2006.
    • (2006) Nature , vol.439 , Issue.7075 , pp. 462-465
    • Brockmann, D.1    Hufnagel, L.2    Geisel, T.3
  • 8
    • 84945611745 scopus 로고
    • An historical review of the gravity and potential concepts of human interaction
    • G. Carrothers. An historical review of the gravity and potential concepts of human interaction. Journal of the American Institute of Planners, 22(2):94-102, 1956.
    • (1956) Journal of the American Institute of Planners , vol.22 , Issue.2 , pp. 94-102
    • Carrothers, G.1
  • 9
    • 84884508368 scopus 로고    scopus 로고
    • Friendship and mobility: User movement in location-based social networks
    • E. Cho, S. A. Myers, and J. Leskovec. Friendship and mobility: user movement in location-based social networks. In KDD'11.
    • KDD'11
    • Cho, E.1    Myers, S.A.2    Leskovec, J.3
  • 10
    • 65549085067 scopus 로고    scopus 로고
    • Power-law distributions in empirical data
    • A. Clauset, C. Rohilla Shalizi, and M. Newman. Power-law distributions in empirical data. SIAM review, 51(4):661-703, 2009.
    • (2009) SIAM Review , vol.51 , Issue.4 , pp. 661-703
    • Clauset, A.1    Rohilla Shalizi, C.2    Newman, M.3
  • 11
    • 84890656008 scopus 로고    scopus 로고
    • The livehoods project: Utilizing social media to understand the dynamics of a city
    • J. Cranshaw, R. Schwartz, J. Hong, and N. Sadeh. The livehoods project: Utilizing social media to understand the dynamics of a city. In ICWSM'12.
    • ICWSM'12
    • Cranshaw, J.1    Schwartz, R.2    Hong, J.3    Sadeh, N.4
  • 12
    • 33645217293 scopus 로고    scopus 로고
    • Centrality measures in spatial networks of urban streets
    • P. Crucitti, V. Latora, and S. Porta. Centrality measures in spatial networks of urban streets. Physical Review E, 73(3):036125, 2006.
    • (2006) Physical Review e , vol.73 , Issue.3 , pp. 036125
    • Crucitti, P.1    Latora, V.2    Porta, S.3
  • 15
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • J. H. Friedman. Greedy function approximation: A gradient boosting machine. Annals of Statistics, pages 1189-1232, 2001.
    • (2001) Annals of Statistics , pp. 1189-1232
    • Friedman, J.H.1
  • 16
    • 84909943711 scopus 로고    scopus 로고
    • Where businesses thrive: Predicting the impact of the olympic games on local retailers through location-based services data
    • P. Georgiev, A. Noulas, and C. Mascolo. Where businesses thrive: Predicting the impact of the olympic games on local retailers through location-based services data. In ICWSM'14.
    • ICWSM'14
    • Georgiev, P.1    Noulas, A.2    Mascolo, C.3
  • 17
    • 44849122540 scopus 로고    scopus 로고
    • Understanding individual human mobility patterns
    • M. González, C. Hidalgo, and A.-L. Barabási. Understanding individual human mobility patterns. Nature, 453(7196):779-782, 2008.
    • (2008) Nature , vol.453 , Issue.7196 , pp. 779-782
    • González, M.1    Hidalgo, C.2    Barabási, A.-L.3
  • 18
    • 33748663567 scopus 로고    scopus 로고
    • Network-based predictions of retail store commercial categories and optimal locations
    • P. Jensen. Network-based predictions of retail store commercial categories and optimal locations. Physical Review E, 74(3):035101, 2006.
    • (2006) Physical Review e , vol.74 , Issue.3 , pp. 035101
    • Jensen, P.1
  • 19
    • 84984991118 scopus 로고    scopus 로고
    • Geo-spotting: Mining online location-based services for optimal retail store placement
    • D. Karamshuk, A. Noulas, S. Scellato, V. Nicosia, and C. Mascolo. Geo-spotting: mining online location-based services for optimal retail store placement. In KDD'13.
    • KDD'13
    • Karamshuk, D.1    Noulas, A.2    Scellato, S.3    Nicosia, V.4    Mascolo, C.5
  • 21
    • 84859081889 scopus 로고    scopus 로고
    • Exploring maps with greedy navigators
    • S. H. Lee and P. Holme. Exploring maps with greedy navigators. Physical Review Letters, 108(12):128701, 2012.
    • (2012) Physical Review Letters , vol.108 , Issue.12 , pp. 128701
    • Lee, S.H.1    Holme, P.2
  • 22
    • 32344436210 scopus 로고    scopus 로고
    • Graphs over time: Densification laws, shrinking diameters and possible explanations
    • J. Leskovec, J. Kleinberg, and C. Faloutsos. Graphs over time: densification laws, shrinking diameters and possible explanations. In KDD'05.
    • KDD'05
    • Leskovec, J.1    Kleinberg, J.2    Faloutsos, C.3
  • 28
    • 84881497479 scopus 로고    scopus 로고
    • Limited urban growth: London's street network dynamics since the 18th century
    • A. P. Masucci, K. Stanilov, and M. Batty. Limited urban growth: London's street network dynamics since the 18th century. PloS ONE, 8(8):e69469, 2013.
    • (2013) PloS ONE , vol.8 , Issue.8 , pp. e69469
    • Masucci, A.P.1    Stanilov, K.2    Batty, M.3
  • 30
    • 18744389789 scopus 로고    scopus 로고
    • Assortative mixing in networks
    • M. Newman. Assortative mixing in networks. Physical review letters, 89(20):208701, 2002.
    • (2002) Physical Review Letters , vol.89 , Issue.20 , pp. 208701
    • Newman, M.1
  • 31
    • 84980125440 scopus 로고
    • An economic derivation of the gravity law of spatial interaction
    • J. H. Niedercorn and B. Bechdolt. An economic derivation of the gravity law of spatial interaction. Journal of Regional Science, 9(2):273-282, 1969.
    • (1969) Journal of Regional Science , vol.9 , Issue.2 , pp. 273-282
    • Niedercorn, J.H.1    Bechdolt, B.2
  • 32
    • 84861536130 scopus 로고    scopus 로고
    • A tale of many cities: Universal patterns in human urban mobility
    • A. Noulas, S. Scellato, R. Lambiotte, M. Pontil, and C. Mascolo. A tale of many cities: universal patterns in human urban mobility. PloS ONE, 7(5):e37027, 2012.
    • (2012) PloS ONE , vol.7 , Issue.5 , pp. e37027
    • Noulas, A.1    Scellato, S.2    Lambiotte, R.3    Pontil, M.4    Mascolo, C.5
  • 33
    • 84874044333 scopus 로고    scopus 로고
    • Mining user mobility features for next place prediction in location-based services
    • A. Noulas, S. Scellato, N. Lathia, and C. Mascolo. Mining user mobility features for next place prediction in location-based services. In ICDM'12.
    • ICDM'12
    • Noulas, A.1    Scellato, S.2    Lathia, N.3    Mascolo, C.4
  • 38
    • 79251537474 scopus 로고    scopus 로고
    • Structure of urban movements: Polycentric activity and entangled hierarchical flows
    • C. Roth, S. M. Kang, M. Batty, and Marc Barthélemy. Structure of urban movements: polycentric activity and entangled hierarchical flows. PloS one, 6(1):e15923, 2011.
    • (2011) PloS One , vol.6 , Issue.1 , pp. e15923
    • Roth, C.1    Kang, S.M.2    Batty, M.3    Barthélemy, M.4
  • 39
    • 84858047766 scopus 로고    scopus 로고
    • Finding your friends and following them to where you are
    • A. Sadilek, H. Kautz, and J. Bigham. Finding your friends and following them to where you are. In WSDM'12.
    • WSDM'12
    • Sadilek, A.1    Kautz, H.2    Bigham, J.3
  • 40
  • 41
    • 84874408484 scopus 로고    scopus 로고
    • Exploiting place features in link prediction on location-based social networks
    • S. Scellato, A. Noulas, and C. Mascolo. Exploiting place features in link prediction on location-based social networks. In KDD'11.
    • KDD'11
    • Scellato, S.1    Noulas, A.2    Mascolo, C.3
  • 42
    • 84859451205 scopus 로고    scopus 로고
    • A universal model for mobility and migration patterns
    • F. Simini, M. González, A. Maritan, and A.-L. Barabási. A universal model for mobility and migration patterns. Nature, 484(7392):96-100, 2012.
    • (2012) Nature , vol.484 , Issue.7392 , pp. 96-100
    • Simini, F.1    González, M.2    Maritan, A.3    Barabási, A.-L.4
  • 45
    • 84879749319 scopus 로고    scopus 로고
    • Automatic versus human navigation in information networks
    • R. West and J. Leskovec. Automatic versus human navigation in information networks. In ICWSM'12.
    • ICWSM'12
    • West, R.1    Leskovec, J.2
  • 46
    • 84860854322 scopus 로고    scopus 로고
    • Human wayfinding in information networks
    • R. West and J. Leskovec. Human wayfinding in information networks. In WWW'12.
    • WWW'12
    • West, R.1    Leskovec, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.