A Parametric Model Approach for Structural Reconstruction of Scale-Free Networks
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[1] Tamara G. Kolda,et al. A Scalable Generative Graph Model with Community Structure , 2013, SIAM J. Sci. Comput..
[2] Pradumn Kumar Pandey,et al. Context dependent preferential attachment model for complex networks , 2015, ArXiv.
[3] J. S. Katz,et al. Scale-Independent Bibliometric Indicators , 2005 .
[4] A. Barabasi,et al. Hierarchical Organization of Modularity in Metabolic Networks , 2002, Science.
[5] S Arianos,et al. Power grid vulnerability: a complex network approach. , 2008, Chaos.
[6] S N Dorogovtsev,et al. Effect of the accelerating growth of communications networks on their structure. , 2000, Physical review. E, Statistical, nonlinear, and soft matter physics.
[7] A. Barabasi,et al. Bose-Einstein condensation in complex networks. , 2000, Physical review letters.
[8] Alexander S Mikhailov,et al. Evolutionary reconstruction of networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[9] Béla Bollobás,et al. Mathematical results on scale‐free random graphs , 2005 .
[10] Brian W. Barrett,et al. Introducing the Graph 500 , 2010 .
[11] Wen-Xu Wang,et al. Reconstructing propagation networks with natural diversity and identifying hidden sources , 2014, Nature Communications.
[12] Albert-László Barabási,et al. Statistical mechanics of complex networks , 2001, ArXiv.
[13] Francesc Comellas,et al. Spectral reconstruction of complex networks , 2008 .
[14] Mark Newman,et al. Networks: An Introduction , 2010 .
[15] Andrei Z. Broder,et al. Graph structure in the Web , 2000, Comput. Networks.
[16] Markus Porto,et al. Generating random networks with given degree-degree correlations and degree-dependent clustering. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[17] Christopher Olston,et al. What's new on the web?: the evolution of the web from a search engine perspective , 2004, WWW '04.
[18] S. N. Dorogovtsev,et al. Structure of growing networks with preferential linking. , 2000, Physical review letters.
[19] Qi Xuan,et al. A local-world network model based on inter-node correlation degree , 2007 .
[20] Marián Boguñá,et al. Tuning clustering in random networks with arbitrary degree distributions. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[21] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[22] D. Bu,et al. Topological structure analysis of the protein-protein interaction network in budding yeast. , 2003, Nucleic acids research.
[23] Massimo Marchiori,et al. Error and attacktolerance of complex network s , 2004 .
[24] Jianhua Lin,et al. Divergence measures based on the Shannon entropy , 1991, IEEE Trans. Inf. Theory.
[25] Guido Caldarelli,et al. Scale-Free Networks , 2007 .
[26] Christos Faloutsos,et al. R-MAT: A Recursive Model for Graph Mining , 2004, SDM.
[27] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[28] Mark Newman,et al. Detecting community structure in networks , 2004 .
[29] Albert-László Barabási,et al. Internet: Diameter of the World-Wide Web , 1999, Nature.
[30] Christos Faloutsos,et al. Graph evolution: Densification and shrinking diameters , 2006, TKDD.
[31] Jon M. Kleinberg,et al. The Web as a Graph: Measurements, Models, and Methods , 1999, COCOON.
[32] Eli Upfal,et al. Stochastic models for the Web graph , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.
[33] Dhabaleswar K. Panda,et al. Designing Scalable Graph500 Benchmark with Hybrid MPI+OpenSHMEM Programming Models , 2013, ISC.
[34] A. Vázquez. Disordered networks generated by recursive searches , 2001 .
[35] J. Krug,et al. Reconstruction of evolved dynamic networks from degree correlations. , 2016, Physical review. E.
[36] S N Dorogovtsev,et al. Language as an evolving word web , 2001, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[37] C. Stam,et al. The correlation of metrics in complex networks with applications in functional brain networks , 2011 .
[38] L. da F. Costa,et al. Sensitivity of complex networks measurements , 2008, 0804.1104.
[39] Albert,et al. Topology of evolving networks: local events and universality , 2000, Physical review letters.
[40] A Díaz-Guilera,et al. Self-similar community structure in a network of human interactions. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[41] Francesc Comellas,et al. Reconstruction of Networks from Their Betweenness Centrality , 2008, EvoWorkshops.
[42] Albert-László Barabási,et al. Fundamental limitations of network reconstruction , 2015, ArXiv.
[43] Markus Porto,et al. Generation of arbitrarily two-point-correlated random networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[44] Jure Leskovec,et al. {SNAP Datasets}: {Stanford} Large Network Dataset Collection , 2014 .
[45] Qi Xuan,et al. Growth model for complex networks with hierarchical and modular structures. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[46] Réka Albert,et al. Structural vulnerability of the North American power grid. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[47] Michalis Faloutsos,et al. On power-law relationships of the Internet topology , 1999, SIGCOMM '99.
[48] A. Arenas,et al. Models of social networks based on social distance attachment. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[49] Christos Faloutsos,et al. Graph mining: Laws, generators, and algorithms , 2006, CSUR.
[50] Agata Fronczak,et al. Average path length in random networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[51] Almerima Jamakovic,et al. On the relationships between topological measures in real-world networks , 2008, Networks Heterog. Media.
[52] Ravi Kumar,et al. Extracting Large-Scale Knowledge Bases from the Web , 1999, VLDB.
[53] F. Chung,et al. Complex Graphs and Networks , 2006 .
[54] A. Vázquez. Growing network with local rules: preferential attachment, clustering hierarchy, and degree correlations. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[55] M. Newman,et al. Finding community structure in networks using the eigenvectors of matrices. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[56] S. Redner. Citation Statistics From More Than a Century of Physical Review , 2004, physics/0407137.
[57] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[58] Fahui Wang,et al. Exploring the network structure and nodal centrality of China , 2011 .
[59] Eli Upfal,et al. Using PageRank to Characterize Web Structure , 2002, COCOON.
[60] Piet Van Mieghem,et al. Classification of graph metrics , 2015 .
[61] Derek de Solla Price,et al. A general theory of bibliometric and other cumulative advantage processes , 1976, J. Am. Soc. Inf. Sci..
[62] Albert-László Barabási,et al. Evolution of Networks: From Biological Nets to the Internet and WWW , 2004 .