Breaking of the site-bond percolation universality in networks

[1]  Bruce A. Reed,et al.  A Critical Point for Random Graphs with a Given Degree Sequence , 1995, Random Struct. Algorithms.

[2]  M. Newman,et al.  Finding community structure in networks using the eigenvectors of matrices. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  Alessandro Vespignani,et al.  Reaction–diffusion processes and metapopulation models in heterogeneous networks , 2007, cond-mat/0703129.

[4]  Ulrik Brandes,et al.  Structural Similarity: Spectral Methods for Relaxed Blockmodeling , 2010, J. Classif..

[5]  Christian Bauckhage,et al.  The slashdot zoo: mining a social network with negative edges , 2009, WWW.

[6]  S. Mangan,et al.  Structure and function of the feed-forward loop network motif , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[7]  W. Zachary,et al.  An Information Flow Model for Conflict and Fission in Small Groups , 1977, Journal of Anthropological Research.

[8]  Reuven Cohen,et al.  Percolation critical exponents in scale-free networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  Neo D. Martinez Artifacts or Attributes? Effects of Resolution on the Little Rock Lake Food Web , 1991 .

[10]  D S Callaway,et al.  Network robustness and fragility: percolation on random graphs. , 2000, Physical review letters.

[11]  M. Newman,et al.  Exact solution of site and bond percolation on small-world networks. , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[12]  Marián Boguñá,et al.  Percolation in self-similar networks , 2011, Physical review letters.

[13]  M. Newman Spread of epidemic disease on networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  Trugman,et al.  Percolation with a threshold at zero: A new universality class. , 1985, Physical review. B, Condensed matter.

[15]  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.

[16]  Jens Lehmann,et al.  DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.

[17]  Lada A. Adamic,et al.  The political blogosphere and the 2004 U.S. election: divided they blog , 2005, LinkKDD '05.

[18]  Gergely Palla,et al.  Fundamental statistical features and self-similar properties of tagged networks , 2008, 0812.4236.

[19]  Filippo Radicchi,et al.  Who Is the Best Player Ever? A Complex Network Analysis of the History of Professional Tennis , 2011, PloS one.

[20]  Kathleen E. Hamilton,et al.  Tight lower bound for percolation threshold on an infinite graph. , 2014, Physical review letters.

[21]  T. Vicsek,et al.  Directed network modules , 2007, physics/0703248.

[22]  Ciro Cattuto,et al.  What's in a crowd? Analysis of face-to-face behavioral networks , 2010, Journal of theoretical biology.

[23]  Jure Leskovec,et al.  Friendship and mobility: user movement in location-based social networks , 2011, KDD.

[24]  D. Lusseau,et al.  The bottlenose dolphin community of Doubtful Sound features a large proportion of long-lasting associations , 2003, Behavioral Ecology and Sociobiology.

[25]  Albert-László Barabási,et al.  Internet: Diameter of the World-Wide Web , 1999, Nature.

[26]  Lincoln Stein,et al.  Reactome: a knowledgebase of biological pathways , 2004, Nucleic Acids Res..

[27]  R. Pastor-Satorras,et al.  Generation of uncorrelated random scale-free networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[28]  Piet Van Mieghem,et al.  Epidemic processes in complex networks , 2014, ArXiv.

[29]  Vicenç Gómez,et al.  Statistical analysis of the social network and discussion threads in slashdot , 2008, WWW.

[30]  M. Newman,et al.  Efficient Monte Carlo algorithm and high-precision results for percolation. , 2000, Physical review letters.

[31]  L. Sander,et al.  Geography in a scale-free network model. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[32]  Christos Faloutsos,et al.  Graph evolution: Densification and shrinking diameters , 2006, TKDD.

[33]  F. Radicchi Predicting percolation thresholds in networks. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[34]  A. Barabasi,et al.  Lethality and centrality in protein networks , 2001, Nature.

[35]  Munmun De Choudhury,et al.  Social Synchrony: Predicting Mimicry of User Actions in Online Social Media , 2009, 2009 International Conference on Computational Science and Engineering.

[36]  A. Arenas,et al.  Models of social networks based on social distance attachment. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[37]  Krishna P. Gummadi,et al.  On the evolution of user interaction in Facebook , 2009, WOSN '09.

[38]  S. Redner,et al.  Introduction To Percolation Theory , 2018 .

[39]  John Skvoretz,et al.  Node centrality in weighted networks: Generalizing degree and shortest paths , 2010, Soc. Networks.

[40]  Jure Leskovec,et al.  Learning to Discover Social Circles in Ego Networks , 2012, NIPS.

[41]  Krishna P. Gummadi,et al.  Measurement and analysis of online social networks , 2007, IMC '07.

[42]  Christos Faloutsos,et al.  Graphs over time: densification laws, shrinking diameters and possible explanations , 2005, KDD '05.

[43]  Ian T. Foster,et al.  Mapping the Gnutella Network: Properties of Large-Scale Peer-to-Peer Systems and Implications for System Design , 2002, ArXiv.

[44]  Jure Leskovec,et al.  Defining and evaluating network communities based on ground-truth , 2012, Knowledge and Information Systems.

[45]  Alessandro Vespignani,et al.  Epidemic spreading in scale-free networks. , 2000, Physical review letters.

[46]  Lenka Zdeborová,et al.  Percolation on sparse networks , 2014, Physical review letters.

[47]  S. Shen-Orr,et al.  Superfamilies of Evolved and Designed Networks , 2004, Science.

[48]  S. Shen-Orr,et al.  Network motifs: simple building blocks of complex networks. , 2002, Science.

[49]  D. Bu,et al.  Topological structure analysis of the protein-protein interaction network in budding yeast. , 2003, Nucleic acids research.

[50]  Hiroaki Kitano,et al.  Biological robustness , 2008, Nature Reviews Genetics.

[51]  Michael Ley,et al.  The DBLP Computer Science Bibliography: Evolution, Research Issues, Perspectives , 2002, SPIRE.

[52]  Marko Bajec,et al.  Model of complex networks based on citation dynamics , 2013, WWW.

[53]  M. Newman,et al.  The structure of scientific collaboration networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[54]  Tore Opsahl,et al.  Clustering in weighted networks , 2009, Soc. Networks.

[55]  Alain Barrat,et al.  Contact Patterns among High School Students , 2014, PloS one.

[56]  M E J Newman,et al.  Component sizes in networks with arbitrary degree distributions. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[57]  Vikyath D Rao,et al.  Critical Phenomena in Complex Networks , 2012 .

[58]  Jure Leskovec,et al.  Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters , 2008, Internet Math..

[59]  Sergey N. Dorogovtsev,et al.  Critical phenomena in complex networks , 2007, ArXiv.

[60]  Thomas Gottron,et al.  Online dating recommender systems: the split-complex number approach , 2012, RSWeb@RecSys.

[61]  C. Lee Giles,et al.  CiteSeer: an autonomous Web agent for automatic retrieval and identification of interesting publications , 1998, AGENTS '98.

[62]  Robert L. Grossman,et al.  Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining , 2005, KDD 2005.

[63]  I. Ial,et al.  Nature Communications , 2010, Nature Cell Biology.

[64]  Guilin Qi,et al.  Zhishi.me - Weaving Chinese Linking Open Data , 2011, SEMWEB.

[65]  Marko Bajec,et al.  Software systems through complex networks science: review, analysis and applications , 2012, Software Mining.

[66]  Jure Leskovec,et al.  The dynamics of viral marketing , 2005, EC '06.

[67]  Filippo Radicchi,et al.  Percolation in real interdependent networks , 2015, Nature Physics.

[68]  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.

[69]  Reuven Cohen,et al.  Numerical evaluation of the upper critical dimension of percolation in scale-free networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[70]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[71]  Przemyslaw Kazienko,et al.  Matching Organizational Structure and Social Network Extracted from Email Communication , 2011, BIS.

[72]  Vaclav Petricek,et al.  Recommender System for Online Dating Service , 2007, ArXiv.

[73]  M E J Newman,et al.  Random graphs with clustering. , 2009, Physical review letters.

[74]  Pablo M. Gleiser,et al.  Community Structure in Jazz , 2003, Adv. Complex Syst..

[75]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[76]  Azadeh Iranmehr,et al.  Trust Management for Semantic Web , 2009, 2009 Second International Conference on Computer and Electrical Engineering.

[77]  Sergey N. Dorogovtsev,et al.  Lectures on Complex Networks , 2010 .

[78]  Cohen,et al.  Resilience of the internet to random breakdowns , 2000, Physical review letters.

[79]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[80]  Jiawei Han,et al.  ACM Transactions on Knowledge Discovery from Data: Introduction , 2007 .

[81]  James P. Gleeson,et al.  Network cloning unfolds the effect of clustering on dynamical processes , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

[82]  Massimo Marchiori,et al.  Error and attacktolerance of complex network s , 2004 .

[83]  Jérôme Kunegis,et al.  KONECT: the Koblenz network collection , 2013, WWW.

[84]  Sergey Melnik,et al.  How clustering affects the bond percolation threshold in complex networks. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.