A comparative analysis of the statistical properties of large mobile phone calling networks
暂无分享,去创建一个
Rosario N. Mantegna | Salvatore Miccichè | Zhi-Qiang Jiang | Wen-Jie Xie | Ming-Xia Li | Wei-Xing Zhou | Michele Tumminello | M. Tumminello | R. Mantegna | Zhi-Qiang Jiang | Wen-Jie Xie | Ming-Xia Li | Wei‐Xing Zhou | S. Miccichè
[1] Marián Boguñá,et al. Extracting the multiscale backbone of complex weighted networks , 2009, Proceedings of the National Academy of Sciences.
[2] Tao Zhou,et al. Diversity of individual mobility patterns and emergence of aggregated scaling laws , 2012, Scientific Reports.
[3] M E J Newman. Assortative mixing in networks. , 2002, Physical review letters.
[4] Raj Kumar Pan,et al. Emergence of Bursts and Communities in Evolving Weighted Networks , 2011, PloS one.
[5] David Lazer,et al. Inferring friendship network structure by using mobile phone data , 2009, Proceedings of the National Academy of Sciences.
[6] Albert-László Barabási,et al. Understanding individual human mobility patterns , 2008, Nature.
[7] T. Geisel,et al. The scaling laws of human travel , 2006, Nature.
[8] A. Vespignani,et al. The architecture of complex weighted networks. , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[9] M. Tumminello,et al. Quantifying preferential trading in the e-MID interbank market , 2013 .
[10] Xiao Liang,et al. Unraveling the origin of exponential law in intra-urban human mobility , 2012, Scientific Reports.
[11] Rosario N. Mantegna,et al. Statistically validated mobile communication networks: the evolution of motifs in European and Chinese data , 2014, ArXiv.
[12] Fabrizio Lillo,et al. Community characterization of heterogeneous complex systems , 2010, ArXiv.
[13] Albert-László Barabási,et al. The origin of bursts and heavy tails in human dynamics , 2005, Nature.
[14] Pietro Liò,et al. Collective Human Mobility Pattern from Taxi Trips in Urban Area , 2012, PloS one.
[15] A-L Barabási,et al. Structure and tie strengths in mobile communication networks , 2006, Proceedings of the National Academy of Sciences.
[16] Albert-László Barabási,et al. Limits of Predictability in Human Mobility , 2010, Science.
[17] A. Barabasi,et al. Analysis of a large-scale weighted network of one-to-one human communication , 2007, physics/0702158.
[18] Xiao Liang,et al. The scaling of human mobility by taxis is exponential , 2011, ArXiv.
[19] A. Barabasi,et al. Analysis of a large-scale weighted network of one-toone human communication , 2007 .
[20] Bin Jiang,et al. Characterizing the human mobility pattern in a large street network. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[21] Marta C. González,et al. A universal model for mobility and migration patterns , 2011, Nature.
[22] Jari Saramäki,et al. Emergence of communities in weighted networks. , 2007, Physical review letters.
[23] L. Amaral,et al. On Universality in Human Correspondence Activity , 2009, Science.
[24] G. Madey,et al. Uncovering individual and collective human dynamics from mobile phone records , 2007, 0710.2939.
[25] Tao Zhou,et al. Empirical analysis on temporal statistics of human correspondence patterns , 2008 .
[26] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[27] B. M. Fulk. MATH , 1992 .
[28] Chaogui Kang,et al. Intra-urban human mobility patterns: An urban morphology perspective , 2012 .
[29] M. Tumminello,et al. Statistically Validated Networks in Bipartite Complex Systems , 2010, PloS one.
[30] Jürgen Kurths,et al. Evidence for a bimodal distribution in human communication , 2010, Proceedings of the National Academy of Sciences.
[31] Petter Holme,et al. Predictability of population displacement after the 2010 Haiti earthquake , 2012, Proceedings of the National Academy of Sciences.
[32] Albert-László Barabási,et al. Universal features of correlated bursty behaviour , 2011, Scientific Reports.
[33] 洪伟,et al. Heavy-Tailed Statistics in Short-Message Communication , 2009 .
[34] Harry Eugene Stanley,et al. Calling patterns in human communication dynamics , 2013, Proceedings of the National Academy of Sciences.
[35] Adilson E. Motter,et al. A Poissonian explanation for heavy tails in e-mail communication , 2008, Proceedings of the National Academy of Sciences.
[36] Wang Bing-Hong,et al. Heavy-Tailed Statistics in Short-Message Communication , 2009 .
[37] Fabrizio Lillo,et al. Identification of clusters of investors from their real trading activity in a financial market , 2011, ArXiv.
[38] Jari Saramäki,et al. Temporal motifs reveal homophily, gender-specific patterns, and group talk in call sequences , 2013, Proceedings of the National Academy of Sciences.
[39] Claudio Castellano,et al. Defining and identifying communities in networks. , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[40] Albert-László Barabási,et al. Uncovering the role of elementary processes in network evolution , 2013, Scientific Reports.
[41] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[42] Hunter N. B. Moseley,et al. Limits of Predictability in Human Mobility , 2010 .
[43] Zhi-Dan Zhao,et al. Empirical Analysis on the Human Dynamics of a Large-Scale Short Message Communication System , 2011 .
[44] Kimmo Kaski,et al. Correlated Dynamics in Egocentric Communication Networks , 2012, PloS one.
[45] A. Barabasi,et al. Quantifying social group evolution , 2007, Nature.