Economic Data Mining Research based on Complex Networks and factor analysis

DOI

10.2991/wartia-16.2016.337How to use a DOI?

Keywords

Complex Network, Economic Development Level, Factor Analysis

Abstract

Economical data mining is practical and meaningful. Economic development levels of different regions in China are varied. We use complex network analyzing method to make network graphs and did nodal analysis and community structure detection of these regions to indicate the difference of the economic development levels of each province in China. At the same time, we did the modeling analysis of the development levels of China's provinces by multivariate statistics factor analyzing. We made the comprehensive score model and did the evaluation of the provincial economic development level. The result shows that there are regional differences between provinces in China and the regions with similar economic development levels are closely connected or related to each other.

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  - Yajie Li
AU  - Tao Huang
AU  - Liwen Ma
PY  - 2016/05
DA  - 2016/05
TI  - Economic Data Mining Research based on Complex Networks and factor analysis
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1692
EP  - 1698
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.337
DO  - 10.2991/wartia-16.2016.337
ID  - Li2016/05
ER  -