To Be or Not to Be Friends: How Social Ties Command the Future of Venture Capital

TL;DR

Is venture capital just about financial statements and market size? This paper argues it’s actually about who knows whom. By introducing CoRec, a Social-Adjusted Probabilistic Matrix Factorization model, the researchers prove that social connections between VC members and startup founders aren't just "noise"—they are the strongest predictors of whether a deal gets signed. Utilizing data from Crunchbase and About.me, they demonstrate that the "social interest" generated by a Twitter follow or a Facebook friendship can boost investment probability by nearly 900%.

Problem & Motivation: The Information Gap in VC

In the high-stakes world of Venture Capital (VC), the "team" is often more important than the "product." However, analyzing team quality is notoriously difficult. Prior research was often limited to small-scale surveys or vague "organizational ties."

The authors identified a gap: nobody was looking at the individual-level, directed social ties between the person giving the money and the person receiving it. If a Senior Partner at a VC firm follows a Startup Founder on Twitter, that "directed link" signifies a level of proactive interest and trust that standard financial models completely ignore.

Methodology: The CoRec Framework

The core of the paper is the Social-Adjusted PMF. Unlike standard Recommendation Systems that treat users and items as independent entities, CoRec treats the interaction as a function of personal relationships.

1. The Social-Adjusted Prior

Instead of a standard Gaussian distribution for latent factors, the model adjusts the "interest" level $R_{nm}$ using a social factor $S_{nm}$: $R_{nm}\sim \mathcal{N}((1+S_{nm}^{\gamma })⟨u_n,v_m⟩,{\sigma }^2)$ This means if there's a strong social tie ($S_{nm}$), the predicted likelihood of investment shifts significantly.

2. Deep Feature Extraction

The model doesn't just treat a "friendship" as a binary 0 or 1. It decomposes the relationship into:

• Job Titles ($\alpha ,\beta$): Does a connection between two CEOs matter more than a connection between two junior associates?
• Connection Labels ($p,q$): Is a "LinkedIn connection" as valuable as a "Twitter follower" relationship?
• Directional Strength: Does the VC follow the startup (proactive) or vice versa (passive)?

Figure 1: The architecture showing how individual member ties (bottom) influence the VC-to-Startup investment decision (top).

Experiments & Results: The Power of Social Proof

The researchers combined Crunchbase (deal data) with About.me (social data). The statistics were startling:

• Baseline investment rate: ~0.3%
• Rate for members with extended ties: ~1.0%
• Rate for members with direct ties: 2.7%

Comparative Performance

In head-to-head tests against standard Collaborative Filtering (CF) and standard PMF, CoRec consistently achieved lower RMSE and MAE while maintaining a higher Mean Average Precision (MAP).

Figure 2: Performance metrics showing CoRec (red line) consistently outperforming baselines like UserMean and vanilla PMF.

Key Insights from Role Analysis

The model's learned parameters revealed that:

1. Founder/CEO and Managing Director ties are the most "predictive" of a deal.
2. Twitter emerged as a dominant platform for professional signal-catching in the VC ecosystem compared to other social hubs.

Critical Analysis & Conclusion

Takeaway

The paper successfully quantifies the "Trust Factor." By moving from "VC-invests-in-Startup" to "Person A-knows-Person B," the model captures the reality of the business world: investment is a social contract.

Limitations & Future Work

While the model is robust, it relies on the availability of linked social profiles (About.me), which only covered a fraction of the Crunchbase database (1.3K individuals). Future research could explore:

• Temporal Dynamics: How does the duration of a friendship affect the deal size?
• Alumni Networks: Does graduating from the same university provide a similar "Social-Adjustment" as a Twitter follow?

In conclusion, CoRec provides a blueprint for the next generation of financial "matchmaking" tools, proving that in the world of high-growth ventures, your social graph is indeed your net worth.