17/06/2026
We are excited to announce the public release of Threadle v1.2.0 — an open-source network analysis system developed by IAS researcher Carl Nordlund, built for population-scale social network research.
Threadle is designed for networks that are large, multilayered, and attribute-rich. Key capabilities include native multilayer support, integrated node attributes, and a memory-efficient architecture based on mixed-mode pseudo-projection — storing two-mode layers natively rather than projecting them, representing the equivalent of several trillions of edges at a fraction of the memory cost.
Threadle is already installed on SCB Mona — Statistics Sweden's secure microdata infrastructure — and comes with threadleR, an R frontend developed by Yukun Jiao.
Free and open-source: 👉
Threadle is a high-performance network engine built for large, structurally complex multilayer and multimode datasets — such as full-population administrative registers. Built in C #/.NET, it offers memory-efficient hyperedge storage, constant-time neighbor lookups, and native support for relationa...