Characterizing the Tails of Degree Distributions in Real-World Networks
暂无分享,去创建一个
[1] Alessandro Vespignani,et al. Dynamical Processes on Complex Networks , 2008 .
[2] Joel Nishimura,et al. Configuring Random Graph Models with Fixed Degree Sequences , 2016, SIAM Rev..
[3] Sidney I. Resnick,et al. On a Minimum Distance Procedure for Threshold Selection in Tail Analysis , 2018, SIAM J. Math. Data Sci..
[4] T. Ichinomiya. Frequency synchronization in a random oscillator network. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[5] Alessandro Vespignani,et al. Epidemic spreading in scale-free networks. , 2000, Physical review letters.
[6] D. Mason. Laws of Large Numbers for Sums of Extreme Values , 1982 .
[7] S. Redner. How popular is your paper? An empirical study of the citation distribution , 1998, cond-mat/9804163.
[8] Kate E. Jones,et al. Body mass of late Quaternary mammals , 2003 .
[9] A. Clauset,et al. On the Frequency of Severe Terrorist Events , 2006, physics/0606007.
[10] Piet Van Mieghem,et al. Epidemic processes in complex networks , 2014, ArXiv.
[11] David R. Anderson,et al. Model selection and multimodel inference : a practical information-theoretic approach , 2003 .
[12] M. Newman,et al. Hierarchical structure and the prediction of missing links in networks , 2008, Nature.
[13] Yannick Malevergne,et al. Empirical distributions of stock returns: between the stretched exponential and the power law? , 2003, physics/0305089.
[14] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[15] Peter Hall,et al. Using the bootstrap to estimate mean squared error and select smoothing parameter in nonparametric problems , 1990 .
[16] Ulrik Brandes,et al. What is network science? , 2013, Network Science.
[17] M. Newman. Spread of epidemic disease on networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[18] Michael Mitzenmacher,et al. Editorial: The Future of Power Law Research , 2005, Internet Math..
[19] S. Shen-Orr,et al. Superfamilies of Evolved and Designed Networks , 2004, Science.
[20] J M Carlson,et al. Highly optimized tolerance: a mechanism for power laws in designed systems. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[21] Gipsi Lima-Mendez,et al. The powerful law of the power law and other myths in network biology. , 2009, Molecular bioSystems.
[22] Yongcheng Qi,et al. Bootstrap and empirical likelihood methods in extremes , 2008 .
[23] G. Buzsáki,et al. The log-dynamic brain: how skewed distributions affect network operations , 2014, Nature Reviews Neuroscience.
[24] T. Ito,et al. Toward a protein-protein interaction map of the budding yeast: A comprehensive system to examine two-hybrid interactions in all possible combinations between the yeast proteins. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[25] S. Redner. Citation statistics from 110 years of physical review , 2005, physics/0506056.
[26] Michael Mitzenmacher,et al. A Brief History of Generative Models for Power Law and Lognormal Distributions , 2004, Internet Math..
[27] Michael Golosovsky,et al. Power-law citation distributions are not scale-free , 2017, Physical review. E.
[28] Albert-László Barabási,et al. Statistical mechanics of complex networks , 2001, ArXiv.
[29] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[30] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[31] Aaron Clauset,et al. Scale-free networks are rare , 2018, Nature Communications.
[32] Dmitri V. Krioukov,et al. Scale-free Networks Well Done , 2018, Physical Review Research.
[33] David F. Gleich,et al. Revisiting Power-law Distributions in Spectra of Real World Networks , 2017, KDD.
[34] P. Hall. On Some Simple Estimates of an Exponent of Regular Variation , 1982 .
[35] Aaron Clauset,et al. Characterizing the structural diversity of complex networks across domains , 2017, ArXiv.
[36] T. Nakagawa,et al. The Discrete Weibull Distribution , 1975, IEEE Transactions on Reliability.
[37] H E Stanley,et al. Classes of small-world networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[38] Sang Hoon Lee,et al. Mesoscale analyses of fungal networks as an approach for quantifying phenotypic traits , 2014, bioRxiv.
[39] E. Ott,et al. Onset of synchronization in large networks of coupled oscillators. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[40] Nils Lid Hjort,et al. Model Selection and Model Averaging , 2001 .
[41] Marián Boguñá,et al. Self-similarity of complex networks and hidden metric spaces , 2007, Physical review letters.
[42] Hiroki Sayama,et al. Invasion of Cooperation in Scale-Free Networks: Accumulated versus Average Payoffs , 2017, Artificial Life.
[43] Walter Willinger,et al. Towards a Theory of Scale-Free Graphs: Definition, Properties, and Implications , 2005, Internet Math..
[44] Jon M. Kleinberg,et al. The Web as a Graph: Measurements, Models, and Methods , 1999, COCOON.
[45] B. M. Hill,et al. A Simple General Approach to Inference About the Tail of a Distribution , 1975 .
[46] L. Haan,et al. Using a Bootstrap Method to Choose the Sample Fraction in Tail Index Estimation , 2000 .
[47] A. Clauset. Trends and fluctuations in the severity of interstate wars , 2018, Science Advances.
[48] Fan Chung Graham,et al. A random graph model for massive graphs , 2000, STOC '00.
[49] Edward Ott,et al. Emergence of synchronization in complex networks of interacting dynamical systems , 2006 .
[50] Michael Small,et al. Exactly scale-free scale-free networks , 2013, ArXiv.
[51] Edward Ott,et al. Synchronization in large directed networks of coupled phase oscillators. , 2005, Chaos.
[52] Mark Newman,et al. Networks: An Introduction , 2010 .
[53] Stephanie Forrest,et al. Email networks and the spread of computer viruses. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[54] Petter Holme,et al. Currency and commodity metabolites: their identification and relation to the modularity of metabolic networks. , 2006, IET systems biology.
[55] Walter Willinger,et al. Mathematics and the Internet: A Source of Enormous Confusion and Great Potential , 2009, The Best Writing on Mathematics 2010.
[56] M. Porter,et al. Critical Truths About Power Laws , 2012, Science.
[57] J. David Singer,et al. Resort to Arms: International and Civil Wars, 1816-1980 , 1982 .
[58] R. Tanaka,et al. Scale-rich metabolic networks. , 2005, Physical review letters.
[59] Detlef Weigel,et al. Microbial Hub Taxa Link Host and Abiotic Factors to Plant Microbiome Variation , 2016, PLoS biology.
[60] M E J Newman,et al. Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[61] R. Tweney. Error and the growth of experimental knowledge , 1998 .
[62] Chris Arney,et al. Networks, Crowds, and Markets: Reasoning about a Highly Connected World (Easley, D. and Kleinberg, J.; 2010) [Book Review] , 2013, IEEE Technology and Society Magazine.
[63] Hawoong Jeong,et al. Classification of scale-free networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[64] D. Turcotte,et al. Fractality and Self-Organized Criticality of Wars , 1998 .
[65] M. Newman,et al. Why social networks are different from other types of networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[66] Michelle Girvan,et al. Optimal design, robustness, and risk aversion. , 2002, Physical review letters.
[67] M. E. J. Newman,et al. The first-mover advantage in scientific publication , 2008, 0809.0522.
[68] S. Resnick,et al. On asymptotic normality of the hill estimator , 1998 .
[69] Brian W. Rogers,et al. Meeting Strangers and Friends of Friends: How Random are Social Networks? , 2007 .
[70] R. Solé,et al. Evolving protein interaction networks through gene duplication. , 2003, Journal of theoretical biology.
[71] Deok-Sun Lee. Synchronization transition in scale-free networks: clusters of synchrony. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[72] Matt J. Keeling,et al. Testing the hypothesis of preferential attachment in social network formation , 2015, EPJ Data Science.
[73] Natasa Przulj,et al. Biological network comparison using graphlet degree distribution , 2007, Bioinform..
[74] Q. Vuong. Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses , 1989 .
[75] H. Simon,et al. ON A CLASS OF SKEW DISTRIBUTION FUNCTIONS , 1955 .
[76] Petter Holme,et al. Radial structure of the Internet , 2006, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[77] D. Alderson,et al. Diversity of graphs with highly variable connectivity. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[78] Alessandro Vespignani,et al. Epidemic dynamics in finite size scale-free networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[79] Tamara G. Kolda,et al. An in-depth analysis of stochastic Kronecker graphs , 2011, JACM.
[80] S. Havlin,et al. Self-similarity of complex networks , 2005, Nature.
[81] D. Gamermann,et al. A comprehensive statistical study of metabolic and protein–protein interaction network properties , 2017, Physica A: Statistical Mechanics and its Applications.
[82] Fan Chung Graham,et al. A Random Graph Model for Power Law Graphs , 2001, Exp. Math..
[83] M. Newman. Power laws, Pareto distributions and Zipf's law , 2005 .
[84] Béla Bollobás,et al. Coupling Scale-Free and Classical Random Graphs , 2004, Internet Math..
[85] Laura Sacerdote,et al. Scale-free behavior of networks with the copresence of preferential and uniform attachment rules , 2017, 1704.08597.
[86] Carsten Wiuf,et al. Subnets of scale-free networks are not scale-free: sampling properties of networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[87] S. N. Dorogovtsev,et al. Evolution of networks , 2001, cond-mat/0106144.
[88] Alessandro Vespignani,et al. Detecting rich-club ordering in complex networks , 2006, physics/0602134.
[89] Alice Payne Hackett. 70 years of best sellers, 1895-1965 , 1967 .
[90] V. Paxson,et al. WHERE MATHEMATICS MEETS THE INTERNET , 1998 .
[91] Alessandro Vespignani. Modelling dynamical processes in complex socio-technical systems , 2011, Nature Physics.
[92] Albert-László Barabási,et al. Error and attack tolerance of complex networks , 2000, Nature.
[93] Christian Borgs,et al. Competition-Induced Preferential Attachment , 2004, ICALP.
[94] Raya Khanin,et al. How Scale-Free Are Biological Networks , 2006, J. Comput. Biol..
[95] Aravind Srinivasan,et al. The Effect of Random Edge Removal on Network Degree Sequence , 2012, Electron. J. Comb..
[96] Krishna P. Gummadi,et al. Measurement and analysis of online social networks , 2007, IMC '07.
[97] E. Ziv,et al. Inferring network mechanisms: the Drosophila melanogaster protein interaction network. , 2004, Proceedings of the National Academy of Sciences of the United States of America.