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      A computational approach for the experimental study of EU case law: analysis and implementation

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          Is Open Access

          Evolution of the social network of scientific collaborations

          The co-authorship network of scientists represents a prototype of complex evolving networks. By mapping the electronic database containing all relevant journals in mathematics and neuro-science for an eight-year period (1991-98), we infer the dynamic and the structural mechanisms that govern the evolution and topology of this complex system. First, empirical measurements allow us to uncover the topological measures that characterize the network at a given moment, as well as the time evolution of these quantities. The results indicate that the network is scale-free, and that the network evolution is governed by preferential attachment, affecting both internal and external links. However, in contrast with most model predictions the average degree increases in time, and the node separation decreases. Second, we propose a simple model that captures the network's time evolution. Third, numerical simulations are used to uncover the behavior of quantities that could not be predicted analytically.
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            The authority of Supreme Court precedent

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              Hubs, authorities, and communities

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                Author and article information

                Journal
                Social Network Analysis and Mining
                Soc. Netw. Anal. Min.
                Springer Nature
                1869-5450
                1869-5469
                December 2016
                August 2 2016
                December 2016
                : 6
                : 1
                Article
                10.1007/s13278-016-0365-6
                c94e232a-9bbf-41f2-af25-110b9d771b84
                © 2016

                http://www.springer.com/tdm

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