University of Cambridge > Talks.cam > MRC Biostatistics Unit Seminars > BSU Seminar: “Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities”

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹ️ Information

BSU Seminar: “Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities”

Download to your calendar using vCal

If you have a question about this talk, please contact Alison Quenault .

In this talk I will describe a novel statistical model for sparse networks with overlapping community Structure and heavy tailed degree distributions. The model is based on representing the graph as an exchangeable point process, and naturally generalizes existing probabilistic models with overlapping block-structure to the sparse regime. Our construction builds on vectors of completely random measures, and has interpretable parameters, each node being assigned a vector representing its level of affiliation to some latent communities. We develop methods for simulating this class of random graphs, as well as to perform posterior inference. We show that the proposed approach can recover interpretable structure from two real-world networks and can handle graphs with thousands of nodes and tens of thousands of edges.

This talk is part of the MRC Biostatistics Unit Seminars series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Triple Helix Cambridge Arts School Room A Room 930, Rutherford building.

Other talks

Online Causal Inference Seminar Online Causal Inference Semina Tea and Coffee Break Polar Oceans Seminar Talk Title to follow Formal Dinner at Selwyn College
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity