Spatial distribution characteristics of relationship network of Beijing-Hangzhou Grand Canal water engineering facilities based on Gephi

IF 2.6 1区 艺术学 Q2 CHEMISTRY, ANALYTICAL
Wang Cheng, Tan Lifeng, Qiu Xin, Zhang Yiwen, Wang Guanhua, Sun Zhichao
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引用次数: 0

Abstract

The Beijing-Hangzhou Grand Canal, China’s oldest and most crucial water transportation project, ensures smooth operation and efficient water transportation through interconnected water engineering facilities. Studying the connections among the water engineering facilities of the Beijing-Hangzhou Grand Canal is theoretically and practically significant for preserving and innovating canal heritage. Therefore, this study utilizes social network analysis to comprehensively examine the spatial connections and network status of water engineering facilities along the Beijing-Hangzhou Grand Canal across different channel structure. Gephi 0.10.1 was utilized in this study to construct a relational network of water engineering facilities along the Beijing-Hangzhou Grand Canal, with each facility considered as a network node. By applying network analysis indices such as degree, closeness centrality, and betweenness centrality, the correlation between water engineering facilities was thoroughly investigated. The study’s findings reveal that: (1) the Beijing-Hangzhou Grand Canal possesses numerous overall network nodes with extensive coverage; however, its overall network density is relatively low, and the inter-node connection is weak. (2) Across the entire network, the spatial distribution of degree and betweenness centrality exhibits a clustered pattern. Their distribution patterns are centered on the Lake region section where Hongze Lake is located and the segment from Liucheng to Zhenjiang in the Lake region, the River transport confluence section, and the Nature river section, respectively. The spatial distribution characteristics of closeness centrality show a dispersed shape, with stronger areas mainly concentrated in the canal’s tributaries, especially the Nature river section, which shows more prominence. (3) Analyzed from a channel structure perspective, water engineering facilities in different sections assume distinct linking roles within the network. Facilities in the Lake region section play the strongest overall linkage role, partly due to its highest node proportion. Conversely, in the Nature river section, facilities primarily serve transshipment and direct connection functions, whereas in the River transport confluence section, they act mainly as intermediaries or “bridges”. Notably, water control facilities in the Nature river section and river engineering facilities in the River transport confluence section play pivotal driving roles in their respective sections, warranting special attention and protection as critical canal nodes.

Abstract Image

基于 Gephi 的京杭大运河水利工程设施关系网空间分布特征
京杭大运河是中国历史最悠久、最关键的水运工程,通过相互连接的水利工程设施,确保了水运的畅通和高效。研究京杭大运河水利工程设施之间的联系,对于运河遗产的保护和创新具有重要的理论和现实意义。因此,本研究利用社会网络分析法,全面考察京杭大运河沿线不同河道结构的水利工程设施的空间联系和网络状况。本研究利用 Gephi 0.10.1 构建了京杭大运河沿线水利工程设施的关系网络,将每个设施视为一个网络节点。通过运用网络分析指标,如度、亲近中心性、间中心性等,对水利工程设施之间的相关性进行了深入研究。研究结果表明(1) 京杭大运河总体网络节点众多,覆盖面广,但总体网络密度较低,节点间联系较弱。 (2) 在整个网络中,度数中心度和间度中心度的空间分布呈现聚类模式。它们的分布模式分别以洪泽湖所在的湖区段和湖区柳城至镇江段、河运汇流段、自然河段为中心。亲近中心度的空间分布特征呈现分散状,较强的区域主要集中在运河支流,尤其是大自然河段表现得更为突出。(3)从河道结构角度分析,不同河段的水利工程设施在河网中承担着不同的联系作用。湖区段设施的整体联系作用最强,部分原因是其节点比例最高。相反,在自然河段,设施主要起转运和直接连接作用,而在河流运输汇合段,设施主要起中介或 "桥梁 "作用。值得注意的是,自然河段的水利控制设施和河运汇流段的河道工程设施在各自河段中起着举足轻重的推动作用,作为重要的运河节点值得特别关注和保护。
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来源期刊
Heritage Science
Heritage Science Arts and Humanities-Conservation
CiteScore
4.00
自引率
20.00%
发文量
183
审稿时长
19 weeks
期刊介绍: Heritage Science is an open access journal publishing original peer-reviewed research covering: Understanding of the manufacturing processes, provenances, and environmental contexts of material types, objects, and buildings, of cultural significance including their historical significance. Understanding and prediction of physico-chemical and biological degradation processes of cultural artefacts, including climate change, and predictive heritage studies. Development and application of analytical and imaging methods or equipments for non-invasive, non-destructive or portable analysis of artwork and objects of cultural significance to identify component materials, degradation products and deterioration markers. Development and application of invasive and destructive methods for understanding the provenance of objects of cultural significance. Development and critical assessment of treatment materials and methods for artwork and objects of cultural significance. Development and application of statistical methods and algorithms for data analysis to further understanding of culturally significant objects. Publication of reference and corpus datasets as supplementary information to the statistical and analytical studies above. Description of novel technologies that can assist in the understanding of cultural heritage.
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