Creative city networks: A social network analysis of a virtual community of designers in China

He, Jinliao; Wang, Xianpeng; Zeng, Gang

doi:10.1016/j.cities.2022.103578

Cited by 13 publications

(2 citation statements)

References 62 publications

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“…Second, networks were classified as either social/communication or economic/transportation. The social and communication networks included in the meta‐analysis were typically measured by social media interactions (Cvetojevic & Hochmair, 2021; He et al., 2022; Lin et al., 2019), web page linkages (Keßler, 2017; Lin et al., 2021; Wang & Loo, 2019; Wang & Zhao, 2018) or migration (Mansury & Shin, 2015). The economic and transportation networks included were, respectively, measured by headquarter‐subsidiary locations of firms (Ma & Li, 2017; Pumain & Rozenblat, 2019; Rogov & Rozenblat, 2022; Rozenblat & Pumain, 1993) and air/rail/ground traffic (e.g.…”

Section: Methodsmentioning

confidence: 99%

Are larger cities more central in urban networks: A meta‐analysis

Li,

Neal

2023

Global Networks

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As cities develop more and longer‐range external relations, some have challenged the long‐standing notion that population size indicates a city's power in its urban system. But are population size and network centrality really independent properties in practice, or do larger cities tend to be more central in urban networks? To answer this question, we conducted a systematic literature search and meta‐analysed 41 reported correlations between city size and degree centrality. The results show that population size and degree centrality are significantly and positively correlated for cities across various urban systems (r = 0.77), but the correlation varies by network scale and type. The size‐centrality association is weaker for global economic and transportation networks (r = 0.43), and stronger for non‐global social and communication networks (r = 0.91). This clarifies seemingly contradictory predictions in the literature regarding the association betweensize and centrality for cities.

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Section: Methodsmentioning

confidence: 99%

Are larger cities more central in urban networks: A meta‐analysis

Li,

Neal

2023

Global Networks

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“…The study of regional spatial structure has gradually shifted from internal urban characteristics to external urban relations. An apparent shift toward inter-city relationships can be observed in urban studies literature, producing a spectacular landscape of urban network study in general (Jinliao et al, 2022). Urban network studies have highlighted the importance of the structural advantages of cities in contemporary global and regional economic systems (Martinus and Sigler, 2017).…”

Section: Open Accessmentioning

confidence: 99%

Understanding the structure and determinants of economic linkage network: The case of three major city clusters in Yangtze River Economic belt

Zhang

Sheng

2023

Front. Environ. Sci.

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The economic linkages between cities within the Yangtze River Economic Belt city cluster are important for precisely implementing the Yangtze River Economic Belt strategy. Accordingly, this study used the revised gravity model, social network method, and spatial Durbin model to analyze the economic linkage strength, spatial-temporal differentiation, and driving factors of the three major city cluster in the Yangtze River Economic Belt from 2006–2020. The results confirm that the Chengdu-Chongqing urban agglomeration has formed a network structure with Chengdu and Chongqing as the two poles; the urban agglomeration in the middle reaches of the Yangtze River has formed a point-axis development pattern of Wuhan, Changsha and Nanchang. The Yangtze River Delta urban agglomeration formed a multi-center radiation and sub-network development pattern. Additionally, the characteristics of network structure significantly affected the flow of factors, the level of economic development was the basis for strengthening communication and cooperation between cities. Meanwhile, the advanced industrial structures played an important role in promoting industrial linkages, and human capital exerts an obvious spatial spillover effect. Therefore, these three major urban agglomerations should implement differentiated development strategies and enhance the synergy of their linkage networks, thus promoting high-quality development.

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