摘要：

Abstract:

【Purpose/significance】Linked Open Vocabulary (LOV) is an important part of Linked Open Data Cloud (LOD), which aims

to provide easy access to the vocabulary used in LOD . To explore the characteristics of LOV vocabulary and network structure, which

reveals the evolution and dynamic law of linked data.【Method/process】This paper starts from the two aspects of the basic characteris⁃

tics and structural characteristics of the LOV network. Through the mathematical statistics and complex network analysis methods, the

data collected from the LOV official website is analyzed in depth.【Result/conclusion】Understand the distribution law, concentration

trend, degree of dispersion, and network structure characteristics of vocabulary, and verify that the LOV network structure follows the

scale-free characteristics and small world theory in complex networks.【Innovation/limitation】Observing the LOV network from a met⁃

rics perspective provides a comprehensive understanding of the LOV vocabulary features and structure, and provides a reference for

mapping and using important vocabularies. Because this paper uses static data, we can collect dynamic data in the future to further ex⁃

plore the evolution process of thesaurus network, so as to reveal the growth pattern and law of LOV network from a deeper level.