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      A Study of the Human Flesh Search Engine: Crowd-Powered Expansion of Online Knowledge

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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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            Is Open Access

            The diameter of the world wide web

            , , (1999)
            Despite its increasing role in communication, the world wide web remains the least controlled medium: any individual or institution can create websites with unrestricted number of documents and links. While great efforts are made to map and characterize the Internet's infrastructure, little is known about the topology of the web. Here we take a first step to fill this gap: we use local connectivity measurements to construct a topological model of the world wide web, allowing us to explore and characterize its large scale properties.
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              The structure of scientific collaboration networks

              (2009)
              We investigate the structure of scientific collaboration networks. We consider two scientists to be connected if they have authored a paper together, and construct explicit networks of such connections using data drawn from a number of databases, including MEDLINE (biomedical research), the Los Alamos e-Print Archive (physics), and NCSTRL (computer science). We show that these collaboration networks form "small worlds" in which randomly chosen pairs of scientists are typically separated by only a short path of intermediate acquaintances. We further give results for mean and distribution of numbers of collaborators of authors, demonstrate the presence of clustering in the networks, and highlight a number of apparent differences in the patterns of collaboration between the fields studied.
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                Author and article information

                Journal
                Computer
                Computer
                Institute of Electrical and Electronics Engineers (IEEE)
                0018-9162
                August 2010
                August 2010
                : 43
                : 8
                : 45-53
                Article
                10.1109/MC.2010.216
                c11217af-2b10-4a9e-9824-2ac2dc088c91
                © 2010
                History

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