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Mathematical Methods for Network Science D


Aalto University


<p>Mathematical methods and their use in networks science. Topics are mostly related to large random graphs and include  common approximations and assumptions  in network science, network models,  component size distributions, percolation,  branching processes, excess degree distributions, probability generating functions, master  equations, rate equations, growing network models, processes on networks, exponential  random graphs, and stochastic block  models. The project can be on a recent research topic.</p>

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Course dates
08 January 2026 - 12 February 2026
Course organizer
Mikko Kivelä
Place/Venue
School of Science / Department of Computer Science
City
Country
Finland
Workload
5
Link
https://mycourses.aalto.fi/course/search.php?...