Large Evolving Networks25 Feb 2016, by Sponsored events in
Organisers: Andrew Wade, Niall Adams, James Cruise, Dan Lawson & David Leslie
For slides please see: www.stats.ox.ac.uk/research/rss_applied_probability/events
This one day workshop will introduce the audience to a broad spectrum of work on modelling and inference for large evolving networks.
Invited speakers include:
Charles Bordenave (Toulouse)
Predator-prey dynamics on infinite trees
Colin Cooper (King’s College, London)
Component structure of the vacant set induced by a random walk on a random graph
Moez Draief (Imperial College, London)
Majority Consensus: Algorithms and Spectral Optimisation
Nick Heard (Imperial College, London)
Bayesian methods for monitoring a device within a large dynamic graph
Des Higham (Strathclyde)
Twitter’s big hitters
Gesine Reinert (Oxford)
Gossip processes and small-world networks
To register please download and complete the registration form below and return to Alice Adams by the 19th February 2013.
Registration will take place between 9 – 9.45am. With the workshop commencing at 9.45am and finishing at 5.30pm, with an evening wine reception to follow.
This meeting is kindly funded by the Heilbronn Institute and organised in conjunction with the Applied Probability section of the Royal Statistical Society.
Applied Probability: http://www.stats.ox.ac.uk/rss_applied_probability
Royal Statistical Society: http://www.rss.org.uk/