Differentiating Centrality and Power in the World City Network

Neal, Zachary P.

doi:10.1177/0042098010388954

Cited by 108 publications

(110 citation statements)

References 43 publications

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“…This pattern of relational network is attributed to the power status of relevant nodes, in other words, power is characterized by the dependencies of other nodes (Liu, 2009). In this regard, despite some scholars have made certain distinctions between centrality and power empirically (Neal, 2011), we propose the identical definitions of this two concepts for this research. Centrality research is a dominant research orientation in the social network Vol.…”

Section: Centrality Analysismentioning

confidence: 99%

World City Network in China: A Network Analysis of Air Transportation Network

Li¹,

Dawood²

2016

MAS

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World city network formation is one of the most robust trends in the context of globalization. The unprecedented economic transformation and infrastructure restructuring enable China to integrate in world city network overwhelmingly. The purpose of this paper is aiming to conduct a network analysis of Chinese air transportation network based upon large-scale collected data of inter-city air passengers' volume thereby identifying the world city network of Chinese cities, as well as the internal cooperative relationship and hierarchical structure of these articulations in the network. There are 80 sample cities are enclosed in this air transportation network model using UCINET, which is pioneering social network analytical software. Clearly, UCINET is applied to manipulate the matrix of inter-city air passengers flows in order to elaborate analyze of density of the whole network, to calculate multiple centrality of each node cities, which strives to identify the dominance of each cities' hierarchical power and positions. In addition, NetDraw program in UCINET is designed to visualize the whole network whereas CONCOR program is operationalized to classify major subgroups within national air transportation network of China. Based on the analysis, we can find that Beijing, Shanghai and Guangzhou play a dominant role in this network, and it is evident that there exist some robust cooperative relationships within and between subgroups arisen from overall air transportation network. Overall, these findings consolidate a concrete cornerstone of Chinese world city network formation.

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Section: Centrality Analysismentioning

confidence: 99%

World City Network in China: A Network Analysis of Air Transportation Network

Li¹,

Dawood²

2016

MAS

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“…As sketched in Figure 2, neither centrality nor power converts into each other [22]. Guangdong, for example, has a high ranking of centrality, signifying a large amount of linkages in the production chain of KIBS.…”

Section: Centrality and Powermentioning

confidence: 99%

“…Therefore, it is found that a city node with large centrality does not mean that it may own a large power in the meantime, and vice versa. In appreciating the asymmetry of city linkages, Neal [22] addressed a catalogue of world city based on the average of centrality and power. Likewise, China's city nodes can be classified into four groups, namely large centrality and huge power (e.g., Shanghai), large centrality and weak power (e.g., Guangdong), small centrality and huge power (e.g., Shan-xi), and small centrality and weak power (e.g., Xinjiang).…”

Section: Centrality and Powermentioning

confidence: 99%

Networked or Un-Networked? A Preliminary Study on KIBS-Based Sustainable Urban Development: The Case of China

Guo

Shan

2016

Sustainability

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Increasingly pertinent linkages of cities via knowledge intensive business services (KIBS) in the 21st century have opened a new window for academia to reconsider the approach to achieving urban sustainability. In this study, city network was investigated with an aim of identifying its attributes in the framework of sustainable urban development. Data about China's KIBS, which are compiled in an inter-regional input-output table, were calculated following the procedure of social network analysis. It was found that: (1) the degree of nodes (i.e., out-degree, in-degree and betweenness) in China varies distinctively from city to city; (2) the hierarchy of the city network is very tiny; and (3) that the network structure is subject to both "a small world" and core-periphery effects. Furthermore, city nodes in China fall into four categories, namely high centrality and power, high centrality and low power, low centrality and high power, and low centrality and power. The implication is that governmental efforts should be made to secure a reasonable decentralization of key city nodes to ensure that urban sustainability is built on a city-to-city basis.

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“…The approaches commonly used to examine international publication trends and collaboration performance of a certain research field are bibliometrics and social network analysis. Recent studies have highlighted the necessity of also considering intercity collaboration to fully understand cooperative and innovative activities [18,19]. However, studies examining the relationships among these three levels of international scientific collaboration are not yet fully developed.…”

Section: Introductionmentioning

confidence: 99%

Multilevel Analysis of International Scientific Collaboration Network in the Influenza Virus Vaccine Field: 2006–2013

et al. 2018

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Abstract:Influenza virus vaccine plays an important role in preventing influenza and protecting people's health. The international collaboration in influenza virus vaccine field is related to the sustainability of healthcare. To understand the elaborate characteristics of multiform international collaboration in the influenza virus vaccine field, this paper constructs a multilayered analytical framework (at the country, city and institution levels) of international scientific collaboration to examine the regional distribution, dynamic changes and common themes of collaboration. A total of 1878 international collaboration papers of the influenza virus vaccine field published from 2006 to 2013 were collected from the Web of Science database. Based on this dataset, the paper utilizes bibliometrics and social network analysis approaches to explore international publication trends and collaboration performance in the influenza virus vaccine field. Results show that: (1) the three kinds of collaboration networks (country, city and institution levels) all present dynamic structures, strong core-periphery characteristics, and their degree centrality distributions follows segmented Zifp-Pareto distribution; and (2) although it is known that there exist corresponding relationships among countries, cities and institutions in the geographical position, most of their associated categories, network locations and changing trends are all non-conformal. These findings suggest that multilayered analysis enables a more comprehensive understanding of international scientific collaboration in the influenza virus vaccine field. In general, detailed conclusions can help different levels of governments to draw policy implications for promoting further international collaboration research to enhance the ability on preventing the disease.

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Differentiating Centrality and Power in the World City Network

Abstract: Centrality and power have become common foci for world city network research and frequently serve as tools for describing cities' position or status in the system.

Cited by 108 publications

References 43 publications

World City Network in China: A Network Analysis of Air Transportation Network

World City Network in China: A Network Analysis of Air Transportation Network

Networked or Un-Networked? A Preliminary Study on KIBS-Based Sustainable Urban Development: The Case of China

Multilevel Analysis of International Scientific Collaboration Network in the Influenza Virus Vaccine Field: 2006–2013

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