Measuring Social Media Network Effects
Sinan Aral, Seth G Benzell, Avinash Collis, Christos Nicolaides

TL;DR
This study empirically measures local network effects on social media platforms, revealing their substantial contribution to platform value and how effects vary across different user connections and demographics.
Contribution
First large-scale empirical measurement of local network effects in social media, quantifying their impact on platform value and revealing variation across user types and connections.
Findings
Social media value ranges from $78 to $101 per user per month.
20-34% of platform value is due to local network effects.
Stronger ties are more valuable on Facebook and Instagram, weaker ties on LinkedIn and X.
Abstract
We use representative, incentive-compatible online choice experiments involving 19,923 Facebook, Instagram, LinkedIn, and X users in the US to provide the first large-scale, empirical measurement of local network effects in the digital economy. Our analysis reveals social media platform value ranges from 101 per consumer, per month, on average, and that 20-34% of that value is explained by local network effects. We also find 1) stronger ties are more valuable on Facebook and Instagram, while weaker ties are more valuable on LinkedIn and X; 2) connections known through work are most valuable on LinkedIn and least valuable on Facebook, and people looking for work value LinkedIn significantly more and Facebook significantly less than people not looking for work; 3) men value connections to women on social media significantly more than they value connections to other men,…
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