Social Network Analysis of Real Estate Transactions in Korea

Seung Chul Noh
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Abstract

This study analyzes the characteristics of real estate transactions from 2017 to 2022, distinguishing between transactions within the region(si, gun, gu), adjacent regions, and non-adjacent regions. It uses social network analysis methods to derive the characteristics of the network and the actors (si. gun, gu). The research results show that about 50~55% of the collective building transactions occur within the region, about 15% between adjacent regions, and about 30% between non-adjacent regions. As a result of analyzing transactions between non-adjacent regions through a network approach, most regions belong to one real estate transaction network centered on the metropolitan area, and many regions can influence each other in real estate transactions. The significance of this study lies in presenting a new approach to real estate transactions by analyzing real estate transactions between cities and counties in Korea through a social network approach, and deriving policy implications through this.
韩国房地产交易的社会网络分析
本研究分析了 2017 年至 2022 年房地产交易的特征,区分了区域内(si、gun、gu)、相邻区域和非相邻区域的交易。它利用社会网络分析方法得出网络和行为主体(si、gun、gu)的特征。研究结果表明,约 50% 至 55% 的集体建设交易发生在区域内,约 15% 发生在相邻区域间,约 30% 发生在非相邻区域间。通过网络方法分析非相邻区域间的交易,发现大部分区域属于一个以都市圈为中心的房地产交易网络,许多区域在房地产交易中可以相互影响。本研究的意义在于通过社会网络法分析韩国各市郡之间的房地产交易,提出了一种新的房地产交易方法,并由此得出政策启示。
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