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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the concepts of scale-free networks, power laws, and preferential attachment. It explains the Pareto Law, degree distributions, the Barabasi-Albert Model, and the Simon model. The lecture delves into the implementation of the Preferential Attachment rule, different versions of the Barabasi-Albert Model, and the expected node degree. It also discusses alternative approximations using Continuum Theory, assortativity in networks, and the size of the Giant component. The lecture concludes with a critique of scale-free networks and a comparison between Power Law and Lognormal distributions.