2nd International Summer School on
Complex Networks
Complex networks are an emerging and powerful computational tool in the physical, biological and social sciences. They aim is to capture the structural properties of data represented as graphs or networks, providing ways of characterising both the static and dynamic facets of network structure. The topic draws on ideas from graph theory, statistical physics and dynamic systems theory. Applications include communication networks, epidemiology, transportation, social networks and ecology.
The aim in the Summer School is to provide an overview of both the foundations and state of the art in the field. Lectures will be presented by intellectual leaders in the field, and there will be an opportunity to interact closely with them during the school. The school will be held in the Bertinoro Residential Centre of the University of Bologna, which is situated in beautiful hills between Ravenna and Bologna.
The summer school is aimed at PhD students, and younger postdocs or RA's working in the complex networks area. It will run for 5 days with lectures in the mornings and afternoons, and the school fee includes residential accommodation and meals at the residential centre.
List of speakers
- Michele Benzi, Emory University, USA
Lecture Title: "Edge Modification Techniques for Enhancing the Communicability,
Robustness, and Synchronizability of Networks"
- Ernesto Estrada, University of Strathclyde, UK
Lecture Title: "Traditional versus non-traditional methods in network theory"
- Jesus Gomez Gardenes, University of Zaragoza, Spain
Lecture Title: "Evolutionary Game Dynamics and Networks"
- Edwin Hancock, University of York, UK
Lecture Title: "Entropy and Networks"
- Lucas Lacasa, Queen Mary University, UK
Lecture Title: "Time series and complex networks"
- Simone Severini, University College London, UK
Lecture Title: "Networks and Quantum Physics"
- Richard Wilson, University of York, UK
Lecture Title: "Spectral Methods for Complex Networks"
Contact:
Andrea Torsello<torsello@dsi.unive.it>
