Large-scale networks with complex interaction patterns between elements are found in abundance in Communication Networks like: social networks, blog & collaborative networks, WWW, P2P, DTN, Sensors... In the last decade many research efforts contributed to establishing the concept of a network science to characterize, model, and analyze complex networks. Network Science founds applications in a variety of domains and show a mainstream research topic of interest for theoretical physicists, epidemiologists, biologist, economists, and computer scientists.
For the communication networking community there is a strong research interest in the analysis of the structure and properties of dynamic networks at several layers: network/communication layers but also at the social/application layers. Understanding how the interplay of these different layers of complex networks happens and the potential mutual effects they may have on each other in a dynamic graph context is a key challenge.
Eric Fleury (ENS Lyon / D-NET INRIA, France)
José Ignacio ALVAREZ-HAMELIN (Universidad de Buenos Aires, Argentina)
Artur Ziviani (National Laboratory for Scientific Computing - LNCC, Brazil)
Jussara Almeida, Federal University of Minas Gerais, Brazil
Amar Prakash Azad, INRIA, France
Alain Barrat, Centre de Physique Theorique, France
Fehmi Ben Abdesslem, University of St Andrews, UK
Marcelo Dias de Amorim, UPMC Paris Universitas
Daniel Figueiredo, UFRJ, Brazil
Marco Fiore, INSA de Lyon, France
Niloy Ganguly, Indian Institute of Technology Kharagpur, India
Marta Gonzalez, CCNR, USA
Jean-Loup Guillaume, Université Paris 6 Pierre et Marie Curie, France
Pan Hui, Deutsche Telekom Laboratories, Germany
Renaud Lambiotte, Imperial College, UK
Jeremie Leguay, Thales Communications, France
Daniele Miorandi, Create-Net, Italy
iJukka-Pekka Onnela, Harvard University, USA
Camille Roth, CAMS (Cnrs/Ehess), France
Thrasyvoulos Spyropoulos, ETHZ, Switzerland
Eiko Yoneki, University of Cambridge, UK