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A Study On the Industrial Clusters In a Region Using Big data

빅데이타 분석을 이용한 지역내 산업클러스터 연구

  • Received : 2016.11.07
  • Accepted : 2016.11.29
  • Published : 2017.02.28

Abstract

We tried to get useful information from social network analysis on the transaction network for the companies in Busan, Ulsan, Kyong-nam region using more than 80 thousand company transaction data obtained from Korean enterprise data (KED). We found that there are 282 clusters having more than 3 companies when we made clusters composed of the companies having the transactions with each other as the first transaction partners in the region. Most of clusters have a major big company with most of sales in the clusters and have the member companies without the transaction with other cluster's member companies so that they have closed and hierarchical transaction pattern. Analysing the transaction network using the network index, we know that there are small medium size companies playing the central role in the regional transaction network and a few clusters have many transactions with other clusters. Also we found that there are very rare sale transactions to the companies outside the region and many purchasing transactions from the companies outside the region. Policy makers need to try to diversify the transaction patterns and to use the exceptional companies and clusters as the levers.

Keywords

Business Network;Social Network Analysis;Network Characteristics;Big Data;Busan

Acknowledgement

Supported by : 부경대학교

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