Search Results for "community detection algorithm"

The Algorithm is Twitter’s open source release of the core ranking system that powers the platform’s home timeline. It provides transparency into how tweets are selected, prioritized, and surfaced to users, reflecting Twitter’s move toward openness in recommendation algorithms. The repository contains the recommendation pipeline, which incorporates signals such as engagement, relevance, and content features, and demonstrates how they combine to form ranked outputs.

...The system uses functional programming principles (in Scala) to maintain reliability—state transitions, clock management, game rules, and move validation are deterministic, reducing synchronization errors. Lila also integrates rating systems (e.g. Glicko), puzzles generation, AI opponents, and cheat detection systems. A real-time socket layer (WebSocket) streams move updates, chat, and broadcast events, while REST APIs support client and bot integrations. Supporting features like database schema migrations, analytics, moderation tools, and backups are woven into the platform so the community can contribute and host clubs/variants (Chess960, King of the Hill, etc.).

The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction. ...