Workshops
An Introduction to Network Statistics
Date: October 24th, 2019 (Thursday), from 9:00 to 17:00
Location: The function room (1st floor), 90 High Holborn, Holborn, London, WC1V6LJ.
Abstract: Graphs (networks) have been used as tools in several domains, such as social sciences, biology, and neuroscience. For example, in social sciences, there is an interest in understanding human behaviour and how people interact with each other. In molecular biology, biomedical researchers are interested in the interactions among genes, their products, and their association with diseases. In neuroscience, researchers wish to understand what is the relationship between brain and behaviour. Thus, in this workshop, we will present a statistical framework to analyse network structure with illustrative simulated examples, and an R package, namely statGraph. The main topics of this workshop include an introduction to random graph models and their measures (e.g., centrality, entropy, modularity), and statistical approaches such as a parameter estimator for networks, a model selection approach, a concept of correlation between vectors of networks, an analysis of variance for networks, and a test to compare the clustering structure of sets of networks.
Program:
- 10:00 Introduction to some random graph models
- 11:00 Coffee break
- 11:15 Graph measures
- 12:15 Lunch
- 13:15 Parameter estimator, model selection, and correlation for graphs
- 15:00 Tea break
- 15:15 Tests to compare random graphs
- 16:15 Test to compare the clustering structure of graphs
Requirements: Basic knowledge of statistics and programming are required.
Speaker/Facilitator: André Fujita is Associate Professor at the Department of Computer Science of the University of São Paulo and vice-coordinator of the graduate program in Bioinformatics. He received the best Brazilian Ph.D. thesis award by the Brazilian Society for Computer Science, an honourable mention in biological sciences by CAPES, and a young scientist award by the Brazilian Association for Bioinformatics and Computational Biology. He is a recipient of the Special Postdoctoral Researchers Program fellowship in RIKEN (Japan), Alexander von Humboldt fellowship in Germany, and Newton Advanced fellowship in the UK. Currently, he is a visiting scientist at Prof. Schumann's lab (King's College London) with the FAPESP-ERC fellowship. He published over 70 journal papers comprising the development of statistical methods and their applications. His research interests are (but not limited to) network statistics, connectivity, and their applications to biological data.
Notes:
- Bring your own laptop.
- Install both the R environment (https://www.r-project.org/) and the igraph package (https://igraph.org/r/) beforehand. DO NOT install the statGraph package (we will release an updated version soon).
- Only 30 places available! A confirmation email will be sent out to the first 30 people registering in the workshop.