{"id":"2038752896762691856","url":"https://x.com/TheAhmadOsman/status/2038752896762691856","text":"If you want to actually understand graphs / networks, here’s my recommendation:\n\nFoundations:\n> Barabási – Network Science  \n> Easley & Kleinberg – Networks, Crowds, and Markets  \n\nMath backbone:\n> MIT – Math for CS  \n> Diestel – Graph Theory  \n\nAlgorithms layer:\n> Kleinberg & Tardos – Algorithm Design  \n> MIT graph lectures (for intuition fast)  \n\nDeeper theory:\n> Spielman – Spectral Graph Theory  \n\nSystems / markets angle:\n> Roughgarden – Algorithmic Game Theory  \n\nModern AI angle:\n> Stanford CS224W (Graph ML)  \n> PyTorch Geometric (when you actually build)  \n\nHands-on (this is where it clicks):\n> NetworkX (start here)  \n> Gephi (visual intuition)  \n> SNAP (real datasets)  \n> graph-tool (when you care about speed)","author":{"name":"Ahmad","username":"TheAhmadOsman","avatarUrl":"https://pbs.twimg.com/profile_images/1831406651829559296/iMbSOxdP_200x200.jpg"},"createdAt":"Mon Mar 30 22:59:03 +0000 2026","engagement":{"replies":7,"retweets":65,"likes":505,"views":52381},"quoteTweet":{"id":"2038632925189587084","url":"https://x.com/TheAhmadOsman/status/2038632925189587084","text":"Spending time learning graphs and networking theory is one of the highest-ROI investments you can make.\n\nIt quietly compounds across distributed systems, AI, infrastructure, markets, and even social dynamics.\n\nBoring on day one. Unfair advantage by year two.","author":{"name":"Ahmad","username":"TheAhmadOsman","avatarUrl":"https://pbs.twimg.com/profile_images/1831406651829559296/iMbSOxdP_200x200.jpg"},"createdAt":"Mon Mar 30 15:02:19 +0000 2026"},"adhxContext":{"savedByCount":1,"publicTags":[],"previewUrl":"https://adhx.com/TheAhmadOsman/status/2038752896762691856"}}