Generation of arbitrary two-point correlated directed networks with given modularity

In this Letter, we introduce measures of correlation in directed networks and develop an efficient algorithm for generating directed networks with arbitrary two-point correlation. Furthermore, a method is proposed for adjusting community structure in directed networks without changing the correlation. Effectiveness of both methods is verified by numerical results.

[1]  M. Newman,et al.  Mixing patterns in networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Andrea Lancichinetti,et al.  Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  Michael T. Gastner,et al.  Price of anarchy in transportation networks: efficiency and optimality control. , 2007, Physical review letters.

[4]  Anat Kreimer,et al.  The evolution of modularity in bacterial metabolic networks , 2008, Proceedings of the National Academy of Sciences.

[5]  H E Stanley,et al.  Towards design principles for optimal transport networks. , 2010, Physical review letters.

[6]  L F Lago-Fernández,et al.  Fast response and temporal coherent oscillations in small-world networks. , 1999, Physical review letters.

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

[8]  Réka Albert,et al.  Structural vulnerability of the North American power grid. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  Leon Danon,et al.  Comparing community structure identification , 2005, cond-mat/0505245.

[10]  Andrei Z. Broder,et al.  Graph structure in the Web , 2000, Comput. Networks.

[11]  M E J Newman,et al.  Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Andrea Lancichinetti,et al.  Community detection algorithms: a comparative analysis: invited presentation, extended abstract , 2009, VALUETOOLS.

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

[14]  Edward A. Bender,et al.  The Asymptotic Number of Labeled Graphs with Given Degree Sequences , 1978, J. Comb. Theory A.

[15]  J. Hopfield,et al.  From molecular to modular cell biology , 1999, Nature.

[16]  F. C. Santos,et al.  Scale-free networks provide a unifying framework for the emergence of cooperation. , 2005, Physical review letters.

[17]  Reka Albert,et al.  Mean-field theory for scale-free random networks , 1999 .

[18]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[19]  Béla Bollobás,et al.  A Probabilistic Proof of an Asymptotic Formula for the Number of Labelled Regular Graphs , 1980, Eur. J. Comb..

[20]  Alessandro Vespignani,et al.  Large-scale topological and dynamical properties of the Internet. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[21]  R. Albert,et al.  The large-scale organization of metabolic networks , 2000, Nature.

[22]  Marián Boguñá,et al.  Tuning clustering in random networks with arbitrary degree distributions. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  M. Pascual,et al.  Ecological networks : Linking structure to dynamics in food webs , 2006 .

[24]  Jun Tanimoto Promotion of cooperation through co-evolution of networks and strategy in a 2 × 2 game , 2009 .

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

[26]  M E J Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

[28]  Ali A. Minai,et al.  Efficient associative memory using small-world architecture , 2001, Neurocomputing.

[29]  J. Tanimoto Dilemma solving by the coevolution of networks and strategy in a 2 x 2 game. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[30]  P. Gács,et al.  Algorithms , 1992 .

[31]  R. Rosenfeld Nature , 2009, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[32]  Bruce A. Reed,et al.  The Size of the Giant Component of a Random Graph with a Given Degree Sequence , 1998, Combinatorics, Probability and Computing.

[33]  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.

[34]  F. Radicchi,et al.  Benchmark graphs for testing community detection algorithms. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[35]  Stroud,et al.  Exact results and scaling properties of small-world networks , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[36]  Olaf Sporns,et al.  Connectivity and complexity: the relationship between neuroanatomy and brain dynamics , 2000, Neural Networks.

[37]  A. Arkin,et al.  Motifs, modules and games in bacteria. , 2003, Current opinion in microbiology.

[38]  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.

[39]  E A Leicht,et al.  Community structure in directed networks. , 2007, Physical review letters.

[40]  M E J Newman Assortative mixing in networks. , 2002, Physical review letters.

[41]  B. Tadić Dynamics of directed graphs: the world-wide Web , 2000, cond-mat/0011442.

[42]  I. Sokolov,et al.  Reshuffling scale-free networks: from random to assortative. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[43]  Markus Porto,et al.  Generation of arbitrarily two-point-correlated random networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[44]  Markus Porto,et al.  Impact of topology on the dynamical organization of cooperation in the prisoner's dilemma game. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[45]  Mark Newman,et al.  Detecting community structure in networks , 2004 .

[46]  D. Signorini,et al.  Neural networks , 1995, The Lancet.