Unveiling Latent Structure of Venture Capital Syndication Networks.
Weiwei Gu1, Ao Yang1, Lingyun Lu1
1UrbanNet Lab, College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.
Entropy (Basel, Switzerland)
|July 8, 2023
Summary
Venture capital (VC) institutions are classified using a novel iterative Loubar method, revealing distinct investment behaviors and network structures. This approach enhances understanding of the VC industry and promotes market development.
Area of Science:
- Finance
- Network Science
- Data Science
Background:
- Venture capital (VC) financing supports high-growth startups but involves significant risks.
- VC institutions form complex syndication networks through joint-investments to mitigate risks and share resources.
- Understanding VC classifications and investment behaviors is crucial for market and economic development.
Purpose of the Study:
- To develop an objective, automated method for classifying venture capital institutions.
- To reveal the latent structure and behaviors within VC joint-investment networks.
- To deepen the understanding of the venture capital industry dynamics.
Main Methods:
- An iterative Loubar method based on the Lorenz curve was devised for automated VC classification.
- Network embedding techniques were applied to analyze joint-investment relationships.
- Investment behaviors were analyzed across different VC categories.
Main Results:
- The Loubar method provides objective VC classifications without arbitrary thresholds.
- Distinct investment behaviors were identified across VC categories, with top-ranked groups investing in more industries and stages with better performance.
- Network embedding revealed potential territories and hidden structures among top-ranked VC institutions.
Conclusions:
- The developed method offers an objective approach to classifying VC institutions.
- The study uncovers distinct investment patterns and network structures within the VC industry.
- Findings contribute to a deeper understanding of VC dynamics and support healthy market development.
Keywords:
investment behaviorsnetwork embeddingobjective classificationsyndication networkventure capitalMore Related Videos
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