Social network theory models relationships among nodes and ties, with key measures including degree, density, path length, clustering coefficient, centralities, modularity, and assortativity. It covers classic models like Erdős Rényi random graphs, Watts Strogatz small world model, and Barabási Albert scale-free preferential attachment, along with core concepts like homophily, structural holes, tie strength, and diffusion processes