0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Impacts of high-speed rail lines on the city network in China

      , ,
      Journal of Transport Geography
      Elsevier BV

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references48

          • Record: found
          • Abstract: found
          • Article: not found

          Collective dynamics of 'small-world' networks.

          Networks of coupled dynamical systems have been used to model biological oscillators, Josephson junction arrays, excitable media, neural networks, spatial games, genetic control networks and many other self-organizing systems. Ordinarily, the connection topology is assumed to be either completely regular or completely random. But many biological, technological and social networks lie somewhere between these two extremes. Here we explore simple models of networks that can be tuned through this middle ground: regular networks 'rewired' to introduce increasing amounts of disorder. We find that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs. We call them 'small-world' networks, by analogy with the small-world phenomenon (popularly known as six degrees of separation. The neural network of the worm Caenorhabditis elegans, the power grid of the western United States, and the collaboration graph of film actors are shown to be small-world networks. Models of dynamical systems with small-world coupling display enhanced signal-propagation speed, computational power, and synchronizability. In particular, infectious diseases spread more easily in small-world networks than in regular lattices.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Centrality in social networks conceptual clarification

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Node centrality in weighted networks: Generalizing degree and shortest paths

                Bookmark

                Author and article information

                Journal
                Journal of Transport Geography
                Journal of Transport Geography
                Elsevier BV
                09666923
                April 2017
                April 2017
                : 60
                : 257-266
                Article
                10.1016/j.jtrangeo.2017.03.010
                ce855f27-e54d-4b27-9c8e-d59d151643cf
                © 2017

                https://www.elsevier.com/tdm/userlicense/1.0/

                History

                Comments

                Comment on this article