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Patterns of link reciprocity in directed networks.
It is found that real networks are always either correlated or anticorrelated, and that networks of the same type display similar values of the reciprocity.
Analytical maximum-likelihood method to detect patterns in real networks
This work proposes a fast method that allows one to obtain expectation values and standard deviations of any topological property analytically across the entire graph ensemble, for any binary, weighted, directed or undirected network.
Community detection for correlation matrices
This work introduces, via a consistent redefinition of null models based on random matrix theory, the appropriate correlation-based counterparts of the most popular community detection techniques, and can filter out both unit-specific noise and system-wide dependencies, and the resulting communities are internally correlated and mutually anti-correlated.
Fitness-dependent topological properties of the world trade web.
It is found that the power-law distributed gross domestic product can be successfully identified with the hidden variable determining the topology of the world trade web: all previously studied properties up to third-order correlation structure are found to be in excellent agreement with the predictions of the model.
Universal scaling relations in food webs
It is proposed to describe food webs as transportation networks by extending to them the concept of allometric scaling (how branching properties change with network size), and it is shown that, whereas the number of loops varies significantly across real webs, spanning trees are characterized by universal scaling relations.
Structure and evolution of the world trade network
Multinetwork of international trade: a commodity-specific analysis.
- M. Barigozzi, G. Fagiolo, D. Garlaschelli
- EconomicsPhysical review. E, Statistical, nonlinear, and…
- 13 August 2009
The results suggest that on the top of a relatively time-invariant "intrinsic" taxonomy, the roles played by different commodities in the ITN have become more and more dissimilar, possibly as the result of an increased trade specialization.
Complexity theory and financial regulation
Economic policy needs interdisciplinary network analysis and behavioral modeling for better monitoring and management of highly interconnected economic and financial systems and, thus, may help anticipate and manage future crises.
Maximum likelihood: extracting unbiased information from complex networks.
- D. Garlaschelli, M. I. Loffredo
- Computer SciencePhysical review. E, Statistical, nonlinear, and…
- 1 September 2006
This work shows that the maximum likelihood (ML) principle indicates a unique, statistically rigorous parameter choice, associated with a well-defined topological feature, and builds a class of safely unbiased models to overcome this problem.
Enhanced reconstruction of weighted networks from strengths and degrees
This work introduces an analytical and unbiased maximum-entropy method that works in the shortest possible time and does not require the explicit generation of reconstructed samples, and shows that, while the strengths alone give poor results, the additional knowledge of the degrees yields accurately reconstructed networks.