This study analyzes network of the major shareholder related issues in the financial market and analyzes

the changes of business such as business type and theme by observing the characteristics of large

shareholder network through big data analysis. Specifically, we use big data to analyze what characteristics of

a particular major shareholders are when particular major shareholders own ownership of a group affiliate, and

what characteristics of the network of the companies included in a particular industry or theme are. Although

there have been a lot of studies on the analysis of corporate value through major shareholder analysis,

research on characteristics of major shareholder networks and characteristics of networks among companies in

the industry are still insignificant for all companies listed on KOSPI and KOSDAQ. The research subjects are

all 2,200 companies listed on the stock market in 2017 and the 20,000 shareholders with the largest

shareholders, more than 10% shareholders and more than 5% shareholders. We used the MySQL tool to store

big data about major shareholder. We visualized it using NodeXL and R studio tools, which are representative

big data analysis and visualization tools, to visually analyze major shareholder network characteristics. The

theory of social network analysis theory, Axelrod. R's evolution of cooperation (1984), and A.L Barabasi

(2002) 's network economic theory are used as the theoretical background. The characteristics of connectivity,

centrality in social network analysis theory explain the characteristics of the stock market network and the

major shareholder networks of each group affiliate. Axelrod. R's theory is able to explain co-operative

relationships in these network features in terms of decision-making speed and innovation. The main results

are as follows: First, major stockholder networks in the total stock market are grouped by specific major

shareholders. Second, major shareholders have a different governance structure for each affiliate or company,

indicating that a particular company or affiliate has different characteristics depending on the essence of the

major shareholder network. Third, the networks of companies belonging to different industries and themes

have different characteristics. This implies that the type and nature of the networks among industries are

different from each other and the cooperation relationships among companies in the industry are also different.

Key word: Big Data, Stock, Major Stockholder, Network Analysis, Theme Analysis