> By Matthieu Latapy and Abdelhamid Salah Brahim Download In a peer-to-peer (P2P) file exchange system, there is no central server that would store all available files and distribute them to users. Instead, the system self-organises in a way such that exchanges occur directly between users, between peers. Here we represent the spreading of a […]
> By Matthieu Latapy, Jean-Philippe Cointet and Adrien Friggeri The study of information diffusion among individuals in a social network is a challenging task as there are different possible definitions for a given concept. Consider for example a blogger who publishes a piece of information on his website; there are mainly two ways of quantifying […]
> By Abdelhamid Salah Brahim, Bénédicte Le Grand and Matthieu Latapy In the paper Ten Weeks in the Life of an eDonkey Server we present the capture of exchanges between a large eDonkey server and its clients during ten weeks in continuous, leading to the observation of approximately 80 million distinct clients and 275 million […]
> By Frédéric Aidouni and Matthieu Latapy This plot shows the time-evolution of the number of peers which have downloaded three specific files (one color per file) in a P2P system, as observed during a 10 weeks continuous measurement. We selected three files which have been downloaded many times but did not appear during the […]
> By Matthieu Latapy, Adrien Friggeri and Jean-Philippe Cointet Download The Happy Flu experiment aims at observing how an information may spread among web pages. It proposes to anyone who encounters the experiment on a web page he/she visits to participate. The experiment then becomes visible from his/her own page. We then register the date […]
The influence of the network topology on the dynamics of systems of coupled excitable units is studied numerically and demonstrates a lower dynamical variability for power-law networks than for Poisson ones. This effect which reflects a robust collective excitable behavior is however lower than that observed for diffusion processes or network robustness. Instead, the presence (and number) of triangles and larger loops in the networks appears as a parameter with strong influence on the considered dynamics.
