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Analysis and Visualization of the LOD Network Structure |
Lixin Xia,Ying Tan() |
School of Information Management, Central China Normal University, Wuhan 430079, China |
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Abstract [Objective] This paper aims to analyze the structural features of Linked Open Data (LOD), and the results can be used to guide the organization of linked data in practice. [Methods] Describing LOD network with degree distribution, average path length, clustering coefficient and other indexes, this paper compares scale-free network and small-world network in the complex network theory. [Results] The structure of LOD network shows a power-law distribution, approximate the scale-free network. The Publication subnet of LOD shows a relatively homogeneous exponential distribution. Two networks both have a short average path length and high clustering coefficient. [Limitations] Lack of assigning key nodes to more weight. [Conclusions] Small-world phenomenon of LOD can optimize the retrieval efficiency, and scale-free feature will reduce the stability of the entire network.
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Received: 20 July 2015
Published: 04 February 2016
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