Bookmark and Share

Mathematical Methods for Network Science D


Aalto University


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.


Back

Course dates
14 January 2021 - 18 February 2021
Lecturer
Mikko Kivelä
Place/Venue
Aalto University School of Science / Department of Computer Science
City
Country
Finland
ECTS
5 points
Link
https://mycourses.aalto.fi/course/search.php?...
Language
English
Block-scheduling
No
Cost
Not available