基于新闻中地名共现网络的中原城市群中尺度结构特征探测

Detection of meso-scale structure characteristics of the central plains urban agglomeration based on the network built from toponym co-occurrences in the news

本文以中原城市群为研究区,构建了新闻中地名共现网络,并搭建了探测城市网络社区结构和核心-边缘结构的方法框架。结果表明:(1)中原城市群被划分为5个社区,省级界线在虚拟网络空间城市的交互中起到了较大的阻碍作用;(2)在河南省城市所组成的核心-边缘结构中,核心城市围绕郑州呈斜"L"形分布;(3)中原城市群内郑州的中心地位较突出,洛阳的副中心地位不明显,整体多中心水平较低。基于以上结果,本文从区域规划、城市角色定位等方面给出了建议,对于中原城市群的一体化集成与发展有一定的促进作用。

In this study, the central plains urban agglomeration(CPUA) is selected as the study area to construct a city network using toponym co-occurrence in the news. Furthermore, a method framework is proposed to detect community structure and core-peripheral structure of the resultant network. The following findings are obtained:(1) The CPUA are divided into 5 communities and the provincial boundary has played a major role in hindering the interaction between cities in virtual cyberspace.(2) In the core-periphery structure composed of cities in Henan province, the identified core cities are distributed in an oblique "L" shape around Zhengzhou.(3)The central position of Zhengzhou is more prominent, while Luoyang’s sub-center status is not obvious, and the overall multi-center level of CPUA is relatively low. Based on the above findings, suggestions are given from regional planning and urban role positioning for the integration of cities within the CPUA.