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When facing complex mesoscale network structures, it is generally believed that (null) models encoding the modular organization of nodes must be employed.
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G. Fagiolo, T. Squartini, D. Garlaschelli, Null models of economic networks: the case of the World Trade Web, J. Econ. Interac. Coord. 8
2012
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P. Csermely, A. London, L.-Y. Wu, B. Uzzi, Structure and dynamics of core-periphery networks, J. Comp. Nets. 1
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T. Squartini, I. van Lelyveld, D. Garlaschelli, Early-warning signals of topological collapse in interbank networks, Sci. Rep. 3
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P. Fronczak, A. Fronczak, M. Bujok, Exponential random graph models for networks with community structure, Phys. Rev. E 88
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R. Mastrandrea, T. Squartini, G. Fagiolo, D. Garlaschelli, Enhanced reconstruction of weighted networks from strengths and degrees, New J. Phys. 16
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http://comtrade.un.org/
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S. Fortunato, D. Hric, Community detection in networks: a user guide, Phys. Rep. 659
2016
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2017
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T. Squartini, A. Almog, G. Caldarelli, I. van Lelyveld, D. Garlaschelli, G. Cimini, Enhanced capital-asset pricing model for bipartite financial networks reconstruction, Phys. Rev. E 96
2017
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F. Saracco, M. J. Straka, R. Di Clemente, A. Gabrielli, G. Caldarelli, T. Squartini, Inferring monopartite projections of bipartite networks: an entropy-based approach, New J. Phys. 19
2017
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