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      Network analysis in the legal domain: a complex model for European Union legal sources

      1 , 2 , 1

      Journal of Complex Networks

      Oxford University Press (OUP)

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          Most cited references 37

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          Emergence of scaling in random networks

          Systems as diverse as genetic networks or the world wide web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature is found to be a consequence of the two generic mechanisms that networks expand continuously by the addition of new vertices, and new vertices attach preferentially to already well connected sites. A model based on these two ingredients reproduces the observed stationary scale-free distributions, indicating that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
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            Is Open Access

            The structure and function of complex networks

             M. Newman (2003)
            Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
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              Statistical mechanics of complex networks

              Complex networks describe a wide range of systems in nature and society, much quoted examples including the cell, a network of chemicals linked by chemical reactions, or the Internet, a network of routers and computers connected by physical links. While traditionally these systems were modeled as random graphs, it is increasingly recognized that the topology and evolution of real networks is governed by robust organizing principles. Here we review the recent advances in the field of complex networks, focusing on the statistical mechanics of network topology and dynamics. After reviewing the empirical data that motivated the recent interest in networks, we discuss the main models and analytical tools, covering random graphs, small-world and scale-free networks, as well as the interplay between topology and the network's robustness against failures and attacks.
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                Author and article information

                Journal
                Journal of Complex Networks
                Oxford University Press (OUP)
                2051-1310
                2051-1329
                April 2018
                April 01 2018
                August 07 2017
                April 2018
                April 01 2018
                August 07 2017
                : 6
                : 2
                : 243-268
                Affiliations
                [1 ]Knowledge and Database Systems Laboratory, Division of Computer Science, School of Electrical and Computer Engineering, National Technical University of Athens, Iroon Polytechniou 9, Zographou Campus, 15780 Athens, Greece
                [2 ]Department of Computer Science and Biomedical Informatics, School of Sciences, University of Thessaly, Papassiopoulou 2-4, 35131 Lamia, Greece
                Article
                10.1093/comnet/cnx029
                © 2017

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