Built and analyzed a social network graph using Python and NetworkX. Explored key metrics like centrality, density, and community structure to uncover hidden patterns in connections.

A full-stack application for visualizing and analyzing social network graphs using C++, Python, and React.

The new method, Weighted Graph Anomalous Node Detection (WGAND), takes inspiration from social network analysis and is designed to identify proteins with significant roles in various human tissues.

Today, Bluesky’s social network has grown to over 33 million users, while the technology it’s built upon — the AT Protocol (or ATProto for short) — is being used to develop dozens more ...

Consider what’s going on at Meta, which has more social-network users than any other company and owns a top-tier LLM, Llama. So far, AI’s impact on Facebook has been to junk up feeds with spam ...

According to mathematical legend, Peter Sarnak and Noga Alon made a bet about optimal graphs in the late 1980s ... they’re still resistant to potential network failures. This tension, Sarnak said, ...

Using this data, we mapped out the marmots’ social networks. Our goal was to identify how many social relationships each marmot had, who was connected to whom, and the overall structure of each ...

On Monday, Meta and the FTC began a faceoff in court over monopoly claims If the FTC wins, Meta will be forced to sell off apps like Instagram and WhatsApp Meta CEO Mark Zuckerberg's relationship ...