Reciprocity of weighted networks

Scientific Reports

Volumn 3, Issue , 2013, Pages

  Squartini, Tiziano ^a   Picciolo, Francesco ^b   Ruzzenenti, Franco ^b   Garlaschelli, Diego ^a  

^a UNIVERSITEIT LEIDEN   (Netherlands)

^b UNIVERSITY OF SIENA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84884604452     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep02729     Document Type: Article

References (54)

1. Holland, P. & Leinhardt, S. in Sociological Methodology. ed Heise, D. (Jossey-Bass, San Francisco), 1-45 (1975)
2. Wasserman, S. & Faust, K. Social Network Analysis. Cambridge University Press (Cambridge, New York) (1994)
3. Garlaschelli, D. & Loffredo, M. I. Patterns of Link Reciprocity in Directed Networks. Phys. Rev. Lett. 93, 268701 (2004)
4. Garlaschelli, D. & Loffredo, M. I. Multispecies grand-canonical models for networks with reciprocity. Phys. Rev. E 73, 015101 (2006)
5. Meyers, L. A., Newman, M. E. J. & Pourbohloul, B. Predicting epidemics on directed contact networks. J. Theor. Biol. 240, 400-418 (2006)
6. Boguna, M. & Serrano, M. A. Generalized percolation in random directed networks. Phys. Rev. E 72, 016106 (2005)
7. Perra, N. et al. PageRank equation and localization in the WWW. Europhys. Lett. 88, 48002 (2009)
8. Zlatic, V. & Stefancic, H. Model of Wikipedia growth based on information exchange via reciprocal arcs. EPL 93, 58005 (2011)
9. Garlaschelli, D. & Loffredo, M. I. Structure and evolution of the world trade network. Physica A 355(1), 138-144 (2005) (Pubitemid 40920610)
10. Garlaschelli, D., Ruzzenenti, F. & Basosi, R. Complex Networks and Symmetry I: a Review. Symmetry 2(3), 1683-1709 (2010)
11. Zamora-Lopez, G., Zlatic, V., Zhou, C., Stefancic, H. & Kurths, J. Reciprocity of networkswith degree correlations and arbitrary degree sequences. Phys. Rev. E 77, 016106 (2008)
12. Zlatic, V. & Stefancic, H. Influence of reciprocal edges on degree distribution and degree correlations. Phys. Rev. E 80, 016117 (2009)
13. Stouffer, D. B., Camacho, J., Jiang, W. & Amaral, L. A. N. Evidence for the existence of a robust pattern of prey selection in food webs. Proc. R. Soc. B 274, 1931-1940 (2007) (Pubitemid 47122192)
14. Squartini, T. & Garlaschelli, D. Analytical maximum-likelihood method to detect patterns in real networks. New J. Phys. 13, 083001 (2011)
15. Milo, R. et al. Network Motifs: Simple Building Blocks of Complex Networks. Science 298, 824-827 (2002) (Pubitemid 35231534)
16. Squartini, T.&Garlaschelli, D. Triadic Motifs andDyadic Self-Organization in the World Trade Network. Lec. Notes Comp. Sci. 7166, 24-35 (2012)
17. Kovanen, L., Saramaki, J. & Kaski, K. Reciprocity of mobile phone calls. Dynamics of Socio-Economic Systems 2(2), 138-151 (2011)
18. Fagiolo, G. Directed or Undirected? A New Index to Check for Directionality of Relations in Socio-Economic Networks. Econ. Bull. 3(34), 1-12 (2006)
19. Wang, C., Lizardo, O., Hachen, D., Strathman, A., Toroczkai, Z. & Chawla, N. A dyadic reciprocity index for repeated interaction networks. Network Science 1(1), 31-48 (2013)
20. Akoglu, L., Vaz deMelo, P. O. S. & Faloutsos, C. Quantifying Reciprocity in Large Weighted Communication Networks. Lec. Notes Comp. Science 7302, 85-96 (2012)
21. Serrano, M. A., Boguna, M. & Vespignani, A. Patterns of dominant flows in the world trade web. J. Econ. Interact. Coord. 2(2), 111-124 (2007)
22. Barrat, A., Barthelemy, M., Pastor-Satorras, R. & Vespignani, A. The architecture of complex weighted networks. PNAS 101(11), 3747-3752 (2004) (Pubitemid 38381049)
23. Maslov, S. & Sneppen, K. Specificity and stability in topology of protein networks. Science 296, 910-913 (2002) (Pubitemid 34464896)
24. Maslov, S., Sneppen, K. & Zaliznyak, A. Detection of topological patterns in complex networks: correlation profile of the internet. Physica A 333, 529-540 (2004)
25. Newman, M. E. J., Strogatz, S. H. & Watts, D. J. Random graphs with arbitrary degree distributions and their applications. Phys. Rev. E 64, 026118 (2001)
26. Chung, F. & Lu, L. Connected Components in Random Graphs with Given Expected Degree Sequences. Ann. Comb. 6, 125-145 (2002)
27. Park, J. &Newman, M. E. J. Origin of degree correlations in the Internet and other networks. Phys. Rev. E 68, 026112 (2003)
28. Catanzaro, M., Boguna, M. & Pastor-Satorras, R. Generation of uncorrelated random scale-free networks. Phys. Rev. E 71, 027103 (2005)
29. Park, J. &Newman, M. E. J. The statistical mechanics of networks. Phys. Rev. E 70, 066117 (2004)
30. Serrano, M. A. & Boguna, M. Weighted Configuration Model. AIP Conf. Proc. 776(1), 101-107 (2005)
31. Serrano, M. A., Boguna, M. & Pastor-Satorras, R. Correlations in weighted networks. Phys. Rev. E 74, 055101(R) (2006)
32. Serrano, M. A. Rich-club vs rich-multipolarization phenomena in weighted networks. Phys. Rev. E 78, 026101 (2008)
33. Opsahl, T., Colizza, V., Panzarasa, P. & Ramasco, J. J. Prominence and control: The weighted rich-club effect. Phys. Rev. Lett. 101, 168702 (2008)
34. Garlaschelli, D. & Loffredo, M. I. Generalized Bose-Fermi Statistics and Structural Correlations in Weighted Networks. Phys. Rev. Lett. 102, 038701 (2009)
35. Roberts, E. S. & Coolen, A. C. C. Unbiased degree-preserving randomization of directed binary networks. Phys. Rev. E 85, 046103 (2012)
36. Garlaschelli, D. The weighted random graph model. New. J. Phys. 11, 073005 (2009)
37. Snijders, T. A. B., Pattison, P. E., Robins, G. L. & Handcock, M. S. New specifications for exponential random graph models. Sociological Methodology 36(1), 99-153 (2006) (Pubitemid 44797747)
38. Robins, G., Pattison, P., Kalish, Y. & Lusher, D. An introduction to exponential random graph (p*) models for social networks. Social Networks 29(2), 173191 (2007)
39. Robins, G., Pattison, P. & Wasserman, S. Logit models and logistic regressions for social networks: III. Valued relations. Psychometrika 64(3), 371-394 (1999)
40. UCINET IV Datasets: http://vlado.fmf.uni-lj.si/pub/networks/data/ucinet/ ucidata.htm (accessed: March 2012)
41. Killworth, P. D. & Bernard, H. R. Informant accuracy in social network data. Human Organization 35, 269-386 (1976)
42. Killworth, P. D. & Bernard, H. R. Informant accuracy in social network data II. Human Communication Research 4, 3-18 (1977)
43. Killworth, P. D. & Bernard, H. R. Informant accuracy in social network data III: A comparison of triadic structure in behavioral and cognitive data. Social Networks 2, 19-46 (1979)
44. Killworth, P. D., Bernard, H. R. & Sailer, L. Informant accuracy in social network data IV: a comparison of clique-level structure in behavioral and cognitive network data. Social Networks 2, 191-218 (1979)
45. Killworth, P. D., Bernard, H. R. & Sailer, L. Informant accuracy in social-network data V. An experimental attempt to predict actual communication from recall data. Social Science Research 11, 30-66 (1982)
46. Romney, A. K. & Weller, S. C. Predicting informant accuracy from patterns of recall among individuals. Social Networks 6, 59-77 (1984)
47. Gleditsch, K. S. Expanded Trade and GDP Data. J. Conflict Resol. 46(5), 712-724 (2002)
48. De Masi, G., Iori, G. & Caldarelli, G. A fitness model for the Italian Interbank Money Market. Phys. Rev. E 74, 066112 (2006)
49. Oshio, K. et al. Database of Synaptic Connectivity of C. elegans for Computation. Tech Rep CCeP, Keio Future, Keio University 3 (2003)
50. Pajek datasets: http://vlado.fmf.uni-lj.si/pub/networks/data/bio/foodweb/ foodweb.htm (accessed: March 2012)
51. Feenstra, R. C. Advanced international trade: theory and evidence. Princeton University Press (Princeton, New Jersey) (2003)
52. Fortunato, S. Community detection in graphs. Phys. Rep. 486, 75-174 (2010)
53. Krivitsky, P. N. Exponential-family random graph models for valued networks. Electronic Journal of Statistics. 6(21), 1100-1128 (2012)
54. Desmarais, B. A. & Cranmer, S. J. Statistical inference for valued-edge networks: the generalized exponential random graph model. PLoS ONE 7(1): e30136. doi:10.1371/journal.pone.0030136 (2012).