Cimini, Giulio and Squartini, Tiziano and Musmeci, Nicolò and Puliga, Michelangelo and Gabrielli, Andrea and Garlaschelli, Diego and Battiston, Stefano and Caldarelli, Guido Reconstructing topological properties of complex networks using the fitness model. In: Social Informatics. Lecture Notes in Computer Science (8852). Springer, pp. 323-333. ISBN 978-3-319-15168-7 (2015)
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Abstract
A major problem in the study of complex socioeconomic systems is represented by privacy issues—that can put severe limitations on the amount of accessible information, forcing to build models on the basis of incomplete knowledge. In this paper we investigate a novel method to reconstruct global topological properties of a complex network starting from limited information. This method uses the knowledge of an intrinsic property of the nodes (indicated as fitness), and the number of connections of only a limited subset of nodes, in order to generate an ensemble of exponential random graphs that are representative of the real systems and that can be used to estimate its topological properties. Here we focus in particular on reconstructing the most basic properties that are commonly used to describe a network: density of links, assortativity, clustering. We test the method on both benchmark synthetic networks and real economic and financial systems, finding a remarkable robustness with respect to the number of nodes used for calibration. The method thus represents a valuable tool for gaining insights on privacy-protected systems.
| Item Type: | Book Section |
|---|---|
| Identification Number: | https://doi.org/10.1007/978-3-319-15168-7_41 |
| Additional Information: | SocInfo 2014 International Workshops, Barcelona, Spain, November 11, 2014, Revised Selected Papers |
| Uncontrolled Keywords: | Complex networks; Network reconstruction; Exponential random graphs; Fitness model |
| Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > HB Economic Theory Q Science > QC Physics |
| Research Area: | Economics and Institutional Change |
| Depositing User: | Ms T. Iannizzi |
| Date Deposited: | 09 Mar 2015 09:41 |
| Last Modified: | 08 Mar 2018 16:57 |
| URI: | http://eprints.imtlucca.it/id/eprint/2629 |
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