[3Win5] Poster session 3

[3Win5-22] Network Analysis of Investment Relationships in Startups

〇Koutarou Tamura¹ (1.Uzabase,Inc.)

Keywords:Finance

This study analyzes the investment relationships between startups and institutional investors using data from SPEEDA Startup Insights (formerly INITIAL). By constructing an investment network, we examine its structural properties, focusing on degree distribution and preferential attachment. Our findings indicate that the network obeys a power-law degree distribution with an exponent of approximately -2.9 and a sub-linear preferential attachment rate with an exponent of 0.65. These results suggest that while highly connected startups are more likely to receive new investments, the effect is weaker than in classical preferential attachment models.