Found Graph Data and Planted Vertex Covers
暂无分享,去创建一个
[1] Ronald L. Breiger,et al. Structures of Economic Interdependence among Nations , 1982 .
[2] Kathryn B. Laskey,et al. Stochastic blockmodels: First steps , 1983 .
[3] Martin G. Everett,et al. Models of core/periphery structures , 2000, Soc. Networks.
[4] Cristopher Moore,et al. Independent Sets in Random Graphs from the Weighted Second Moment Method , 2010, APPROX-RANDOM.
[5] Sang Hoon Lee,et al. Detection of core–periphery structure in networks using spectral methods and geodesic paths , 2014, European Journal of Applied Mathematics.
[6] Ian T. Foster,et al. Mapping the Gnutella Network , 2002, IEEE Internet Comput..
[7] Ratul Mahajan,et al. Measuring ISP topologies with rocketfuel , 2002, TNET.
[8] Judy Goldsmith,et al. Nondeterminism Within P , 1993, SIAM J. Comput..
[9] Alan M. Frieze,et al. On the independence number of random graphs , 1990, Discret. Math..
[10] P. Holme. Core-periphery organization of complex networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[11] Matthew Andrews,et al. Spectral analysis of communication networks using Dirichlet eigenvalues , 2011, WWW.
[12] Mason A. Porter,et al. Core-Periphery Structure in Networks (Revisited) , 2017, SIAM Rev..
[13] Peter Damaschke,et al. The union of minimal hitting sets: Parameterized combinatorial bounds and counting , 2009, J. Discrete Algorithms.
[14] David A. Bader,et al. Approximating Betweenness Centrality , 2007, WAW.
[15] E. David,et al. Networks, Crowds, and Markets: Reasoning about a Highly Connected World , 2010 .
[16] Andrea Montanari,et al. Finding Hidden Cliques of Size $$\sqrt{N/e}$$N/e in Nearly Linear Time , 2013, Found. Comput. Math..
[17] Daniel A. Spielman. Erdös-Rényi Random Graphs : Warm Up , 2010 .
[18] Kathleen M. Carley,et al. Patterns and dynamics of users' behavior and interaction: Network analysis of an online community , 2009, J. Assoc. Inf. Sci. Technol..
[19] Jure Leskovec,et al. Local Higher-Order Graph Clustering , 2017, KDD.
[20] Sang Hoon Lee,et al. Density-Based and Transport-Based Core-Periphery Structures in Networks , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[21] Douglas W. Oard,et al. An Exploratory Study of the W3C Mailing List Test Collection for Retrieval of Emails with Pro/Con Argument , 2006, CEAS.
[22] Jure Leskovec,et al. The Network Completion Problem: Inferring Missing Nodes and Edges in Networks , 2011, SDM.
[23] Danai Koutra,et al. DELTACON: A Principled Massive-Graph Similarity Function , 2013, SDM.
[24] Michael R. Fellows,et al. Parameterized Complexity , 1998 .
[25] Ulrik Brandes,et al. On variants of shortest-path betweenness centrality and their generic computation , 2008, Soc. Networks.
[26] Jure Leskovec,et al. Empirical comparison of algorithms for network community detection , 2010, WWW '10.
[27] Nick Craswell,et al. Overview of the TREC 2005 Enterprise Track , 2005, TREC.
[28] David Eppstein,et al. Listing All Maximal Cliques in Large Sparse Real-World Graphs , 2011, JEAL.
[29] Mark Goadrich,et al. The relationship between Precision-Recall and ROC curves , 2006, ICML.
[30] Leonard M. Freeman,et al. A set of measures of centrality based upon betweenness , 1977 .
[31] A. Comrey. The Minimum Residual Method of Factor Analysis , 1962 .
[32] Christos Faloutsos,et al. Graphs over time: densification laws, shrinking diameters and possible explanations , 2005, KDD '05.
[33] David J. Phillips,et al. Surveillance and Empowerment , 2010 .
[34] U. Feige,et al. Finding hidden cliques in linear time , 2009 .
[35] Jimmy J. Lin,et al. TREC 2006 at Maryland: Blog, Enterprise, Legal and QA Tracks , 2006, TREC.
[36] Karl Rohe,et al. Novel sampling design for respondent-driven sampling , 2016 .
[37] Wang Chiew Tan,et al. Research Problems in Data Provenance , 2004, IEEE Data Eng. Bull..
[38] Ling-Yun Wu,et al. Structure and dynamics of core/periphery networks , 2013, J. Complex Networks.
[39] Leto Peel,et al. The ground truth about metadata and community detection in networks , 2016, Science Advances.
[40] Yiming Yang,et al. Introducing the Enron Corpus , 2004, CEAS.
[41] Ronald S. Burt,et al. Positions in Networks , 1976 .
[42] Peter Damaschke,et al. Parameterized enumeration, transversals, and imperfect phylogeny reconstruction , 2004, Theor. Comput. Sci..
[43] Terry Kuny. The digital dark ages? Challenges in the preservation of electronic information , 1998 .
[44] Yogesh L. Simmhan,et al. A survey of data provenance in e-science , 2005, SGMD.
[45] Peter Sanders,et al. Better Approximation of Betweenness Centrality , 2008, ALENEX.
[46] Emmanuel Abbe,et al. Exact Recovery in the Stochastic Block Model , 2014, IEEE Transactions on Information Theory.
[47] V. Vianu,et al. Edinburgh Why and Where: A Characterization of Data Provenance , 2017 .
[48] Sean P. Hier,et al. Surveillance: Power, Problems, and Politics , 2009 .
[49] C. Lynch. Big data: How do your data grow? , 2008, Nature.
[50] Noga Alon,et al. Finding a large hidden clique in a random graph , 1998, SODA '98.
[51] U. Brandes. A faster algorithm for betweenness centrality , 2001 .
[52] Jignesh M. Patel,et al. Big data and its technical challenges , 2014, CACM.
[53] Mark E. J. Newman,et al. The Structure and Function of Complex Networks , 2003, SIAM Rev..
[54] Elchanan Mossel,et al. Belief propagation, robust reconstruction and optimal recovery of block models , 2013, COLT.
[55] Mark S Handcock,et al. 7. Respondent-Driven Sampling: An Assessment of Current Methodology , 2009, Sociological methodology.
[56] Tamara G. Kolda,et al. Fast Triangle Counting through Wedge Sampling , 2012, ArXiv.
[57] Gueorgi Kossinets. Effects of missing data in social networks , 2006, Soc. Networks.
[58] Emmanuel Abbe,et al. Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters , 2015, NIPS.
[59] Jon M. Kleinberg,et al. Social Networks Under Stress , 2016, WWW.
[60] Emmanuel Abbe,et al. Community detection and stochastic block models: recent developments , 2017, Found. Trends Commun. Inf. Theory.
[61] Emmanuel Abbe,et al. Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation , 2016, NIPS.
[62] Christos Faloutsos,et al. Graph evolution: Densification and shrinking diameters , 2006, TKDD.
[63] P. Bickel,et al. A nonparametric view of network models and Newman–Girvan and other modularities , 2009, Proceedings of the National Academy of Sciences.
[64] Albert-László Barabási,et al. Statistical mechanics of complex networks , 2001, ArXiv.
[65] Cristopher Moore,et al. Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[66] Avi Wigderson,et al. Sum-of-squares Lower Bounds for Planted Clique , 2015, STOC.
[67] Alex Pentland,et al. Reality mining: sensing complex social systems , 2006, Personal and Ubiquitous Computing.
[68] Xiao Zhang,et al. Identification of core-periphery structure in networks , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.