Hidden Patterns: The Visual Journey of Networks
About the event
Have you ever wondered why one startup, one tweet, or one node in your product's user graph explodes while a thousand identical-looking others don't?
You've already run into [Albert-László Barabási](https://en.wikipedia.org/wiki/Albert-L%C3%A1szl%C3%B3_Barab%C3%A1si)'s work, whether you knew his name or not. He's the physicist who discovered [scale-free networks](https://en.wikipedia.org/wiki/Scale-free_network): the finding that most real networks, from the web to your own social graph, run on a small number of massive hubs instead of evenly spread connections.
That's the math behind preferential attachment, and it's why the web, social networks, and citation networks all follow the same power law.
In collaboration with the [National Arts Club](https://www.nacnyc.org/) and its [Art and Technology Committee](https://www.nacnyc.org/arts-and-programs/committees), Barabási will walk through 25 years spent turning that math into something you can look at.
[BarabásiLab's work](https://barabasi.com/) has moved from raw data visualizations to physical, 3D-printed network sculptures, and from academic papers to museum installations.
The current centerpiece is [Constructing La Biennale](https://www.labiennale.org/en/architecture/2025/living-lab/constructing-la-biennale), a 30-by-8-meter data visualization wrapped around the scaffolding of the Central Pavilion at the 2025 Venice Architecture Biennale. It maps roughly 12,000 architects and 3,800 projects across the Biennale's 45-year history, back to its first edition in 1980, as a single connected graph.
Barabási has called it the most visible work at the Biennale, and building it, in his words, "*was a massive data science project*."
If your product, your portfolio, or your own career runs on network effects, this is a rare chance to hear from the person who wrote the math for it.
Reserve your spot and arrive early. Space is limited.
