Seminar 26th November 2014 4 p.m. Building 53, Room 4025a, Highfield Campus, University of Southampton
Phase transitions in network growth: from street patterns to neural networks.
Enzo Nicosia
Queen Mary University
- Web page
- http://www.maths.qmul.ac.uk/~vnicosia/
- Categories
- Complex Systems
- Submitter
- Luke Goater
Part of the Complexity Seminar Series 2014-2015.
Abstract:
Studying how a system has evolved over time can help unravelling the elementary mechanisms responsible of its formation and understanding the complexity of the wiring patterns connecting its constituent units. We have recently found that the evolution of spatially-embedded systems, such as urban street patterns and neural networks, can be characterised by interesting phase transitions, resulting in abrupt changes of some structural descriptor of the system. In this talk we will discuss two examples of phase transition in the growth of a network, respectively corresponding to the evolution over 200 years of a large metropolitan area in Italy and to the growth of the C.elegans nematode's neural systems, and we will present reasonable models able to accurately reproduce the observed transitions.
http://cs4southampton.wordpress.com/2014/11/12/enzo-nicosia-26th-nov-2014/
All CS4 talks are free and refreshments will be provided from 5pm. No registration is required. For videos of previous talks and details of future talks please visit: http://cs4southampton.wordpress.com
CS4 is the seminar series for the Institute for Complex Systems Simulation which brings together world-class simulation modelling research activities from across the University of Southampton and hosts Southampton's Doctoral Training Center (DTC) in Complex Systems Simulation: http://www.icss.soton.ac.uk