Title: Analysis of spatial information service composition network based on Ricci curvature
Authors: Yang Sun; Zuoqin Shi; Ling Zhao; Sumin Li; Zhenshi Zhang; Ronghua Du; Zhixiang Hou
Addresses: 72465 Unit of the PLA, Jinan 250022, China ' School of Geosciences and Info-Physics, Central South University, Changsha 410083, China ' School of Geosciences and Info-Physics, Central South University, Changsha 410083, China ' School of Architecture, Changsha University of Science and Technology, Changsha 610059, China ' College of Basic Education, National University of Defense Technology, Changsha 410073, China ' School of Vehicle and Mechanical Engineering, Changsha University of Science and Technology, Changsha 610059, China ' School of Vehicle and Mechanical Engineering, Changsha University of Science and Technology, Changsha 610059, China
Abstract: In order to improve the efficiency of spatial information service composition and enhance its stability, this paper proposes to introduce the spatial information service combination network into the geometric space and use Ricci curvature to study the local structure of spatial information service chain and explore the way of connecting to the spatial information service network, and analyse the Ricci curvature and its distribution and excavate the network structure and analyse its meaning. It is found that negative curvature nodes are more heavily loaded and have more service invocations. They are prefer to be distributed over the edge of the graph structure composed of spatial information service chains, and more inclined to the intersection of local structures of the network, the positive curvature on the contrary. And the proportion of negative curvature of this service network is large, which indicates that there is strong connectivity and recall between these different service chains.
Keywords: spatial information service composition; Ricci curvature; complex network.
DOI: 10.1504/IJIPT.2019.103709
International Journal of Internet Protocol Technology, 2019 Vol.12 No.4, pp.205 - 212
Received: 09 Aug 2018
Accepted: 10 Oct 2018
Published online: 25 Nov 2019 *