Computer Analysis on Network Space Characteristics of Economic Connection in the Yangtze River Delta Urban Agglomeration

DOI

10.2991/icsnce-16.2016.106How to use a DOI?

Keywords

The Yangtze River Delta Urban Agglomeration; Gravity model; Economic network; Computer network analysis

Abstract

Networking development of urban agglomeration is one of essential characteristics of the integrative growth in the Yangtze River Delta region. In this paper, social network analysis (SNA) and kernel density estimation are combined through computer gravity model and structural model of urban agglomeration's economic networks is constructed. After an empirical study on 25 cities in the Yangtze River Delta, network density, kernel density distribution and cohesive subgroups of economic network in Yangtze River Delta urban agglomeration are analyzed by software UCINET and ArcGIS, to innovatively research the structure and networking development patterns of urban agglomeration. It is indicated by the results that a relatively mature net association has formed among cities in the Yangtze River Delta, while the centrality between cities in the network is imbalanced, so that relevant suggestions on network optimization of economic relation among Yangtze River Delta urban agglomeration are proposed.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Duo Xu
PY  - 2016/07
DA  - 2016/07
TI  - Computer Analysis on Network Space Characteristics of Economic Connection in the Yangtze River Delta Urban Agglomeration
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 543
EP  - 548
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.106
DO  - 10.2991/icsnce-16.2016.106
ID  - Xu2016/07
ER  -