학술논문
公共艺术的网络结构研究
Research on the Network Structure of Public Art
공공예술적망락결구연구
Research on the Network Structure of Public Art
공공예술적망락결구연구
Document Type
Article
Text
Text
Source
Journal of China Studies, 12/31/2020, Vol. 23, Issue 4, p. 143-160
Subject
Language
Chinese
ISSN
1975-5902
Abstract
Based on computer thinking and the prompt development of Internet network science and also to promote and expand this knowledge from physics, engineering, information and fields to the humanities and society. Meanwhile, public art that has become an important chapter in humanities subject and it also provided with the basic attributes of the network structure. Therefore, using the research results of network science is the main research method of application of study public art. The study of public art by network thinking is to take network science as a tool to study public art. It focuses on the importance of network node "connection" and the influence of the network on individual practitioners. Meanwhile, the structural characteristics of the network are also crucial to its survival and competitiveness. In the research on the network structure of public art, this paper first systematically analyzes the source of network nodes, the value of "centrality" and the importance of "bridges". Secondly, it elaborates the basic characteristics of public art network nodes from distance connection, intensity, and power-law distribution which summarizes the network nature of public art from the network density, network efficiency, network resilience and informal network. Finally, it expounds the operation mechanism of public art from network infection, threshold model, self-organization function and dynamic network of public art. In conclusion, this study is from the perspective of the network to analyze the study of public art by using connections, network, and mechanisms, describing the characteristics and attributes of the network nodes, various relations between nodes and their impact to network structure, and the operation mechanism of network structure itself. The result of this study will offer new possibilities to the research of public art.