2021
DOI: 10.1155/2021/2574025
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Delineating the Spatial Boundaries of Megaregions in China: A City Network Perspective

Abstract: Globalization and informatization have significantly reshaped the map of the global economy. Mega cities and regions have become the battlegrounds in the interplay between globalization and localization, with megaregions becoming the most globally significant spatial configurations in this regard. However, academics and government departments disagree on how to define the spatial boundaries of megaregions. In this study, on the basis of highway traffic flow data between cities, we integrate the community detec… Show more

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Cited by 46 publications
(6 citation statements)
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“…They align with research approaches that explore changes in the patterns and processes of geographical phenomena. Recently, network analysis tools have been used widely to explore the increasing connectivity of global food trade networks [12][13][14], with the study of agricultural trade networks as the most common research object. For instance, Cai and Song applied a complex network to analyze the relationship between agricultural and national trade and found that agricultural trade facilitates international commerce [15].…”
Section: Introductionmentioning
confidence: 99%
“…They align with research approaches that explore changes in the patterns and processes of geographical phenomena. Recently, network analysis tools have been used widely to explore the increasing connectivity of global food trade networks [12][13][14], with the study of agricultural trade networks as the most common research object. For instance, Cai and Song applied a complex network to analyze the relationship between agricultural and national trade and found that agricultural trade facilitates international commerce [15].…”
Section: Introductionmentioning
confidence: 99%
“…In complex networks, a community refers to a subset of a network. The nodes can be grouped into nodes that each community is closely connected to internally with sparser connections between groups, called community structure [24,25]. Modularity is one of the best-known quality measures for community detection [26].…”
Section: Community Detectionmentioning
confidence: 99%
“…The concept of a core-periphery structure, which delineates a network into a dense core and a sparse periphery, has garnered significant attention and expanded beyond its original scope [40]. While various algorithms have been proposed for identifying core-periphery structures in networks, many of them lack the capability to handle weighted networks and require robustness validation.…”
Section: Core-periphery Profilementioning
confidence: 99%