26
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Modelling terrestrial route networks to understand inter-polity interactions. A case-study from Southern Etruria

      Preprint
      , , ,

      Read this article at

      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.

          Abstract

          During the Bronze Age and the Iron Age, many regions were occupied by small political communities (city-states) whose form of organization could vary widely, from hierarchical to heterarchical systems to purely independent entities. The different developments in similar areas (e.g. state formation or collapse) make their political organization an attractive subject of study. We are interested in the nature of the interactions between these polities, as they reflect how things worked at that regional scale, although it is a challenging task to study those relations in a quantitative manner. However, inter-settlement terrestrial infrastructure networks constitute a great opportunity to achieve this goal. They both shape and were shaped by the societies who created them, and they are suitable to be studied quantitatively when represented as spatial (i.e. geographic) graphs. Here, we present a methodology based on network analysis and modelling to look into the reasons why terrestrial routes were configured the way they were. We devise three models inspired in simple decision-making hypotheses to investigate which mechanism was more likely to be responsible for the topology of the terrestrial infrastructure network. In particular, we apply this methodology to a paradigmatic case-study (the region of southern Etruria during the Iron Age) from which we managed to build empirical networks, by means of archaeological and historical sources. We then compare the topological features of the synthetic networks generated by the models against those in the empirical systems. Our results show that a rather simple model, combining local decisions with global, integrated information of the system, is a good candidate to the task at hand. It reproduces the features of the empirical systems while remaining coherent with the historical knowledge about the Etruscan region.

          Related collections

          Most cited references2

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          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.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Efficient Behavior of Small-World Networks

            We introduce the concept of efficiency of a network, measuring how efficiently it exchanges information. By using this simple measure small-world networks are seen as systems that are both globally and locally efficient. This allows to give a clear physical meaning to the concept of small-world, and also to perform a precise quantitative a nalysis of both weighted and unweighted networks. We study neural networks and man-made communication and transportation systems and we show that the underlying general principle of their construction is in fact a small-world principle of high efficiency.
              Bookmark

              Author and article information

              Journal
              2016-12-23
              Article
              1612.09321
              903bb8d7-f94a-4361-8b27-c4bf4c3c9014

              http://arxiv.org/licenses/nonexclusive-distrib/1.0/

              History
              Custom metadata
              physics.soc-ph

              General physics
              General physics

              Comments

              Comment on this article