Machine Learning and Modelling for Social Networks
GESS-COSS will offer a block course which covers computational and statistical methods to characterize the structure and dynamics of complex social networks. We cover methods such as clustering, classification, spectral analysis and Montecarlo and also specific applications to social network data and spreading processes on these networks. We discuss current research and ethical questions raised by applications.
The block course runs from 9am-12pm from the 8 May to the 12 May in the rooms list in the course catalogue (NB: these rooms are subject to change so check before the course starts).
For further information, please consult the course catalogue.
Program (TO BE ANNOUNCED SHORTLY)
|Date and Room||Time||Presenter||Topic|
|08.05.||Monday||Introduction to Machine Learning and Networks|
|09.05.||Tuesday||Inference and Spreading on Networks|
|10.05.||Wednesday||Dynamics on Networks and text analytics|
|11.05.||Thursday||Opinion dynamics, Structural Inference and Link Prediction|
||Tutorial and Evaluation Day|