Tag: humans rss


28 March 2011 / / Science
We (together with Kimmo Kaski, Aalto University) are organizing the ECCS’11 Satellite conference “Complex Dynamics of Human Interactions” to be held at Vienna, September 14th. You can find more info at http://www.complexdynamics.org “It’s not enough to have a map of the structure. It is crucial to understand the dynamics of a process”, L. Barábasi Scope The nature of human interaction has undergone a substantial change in the past years and the change does not seem to be over.
11 January 2010 / / Science
Each day trillions of emails, phone calls, comments on blogs, twitter messages, exchanges in online social networks, etc. are done. Not only the number of communications has increased, but also each of these transactions leaves a digital trace that can be recorded to reconstruct our high-frequency human activity. It is not only the amount and variety of data that is recorded what is important. Also its high-frequency character and its comprehensive nature have allowed researchers, companies and agencies to investigate individual and group dynamics at an unprecedented level of detail and applied them to client modeling, organizational analysis or epidemic spreading [1].
04 August 2009 / / Science
We have just published an experimental/theoretical work on the speed of information diffusion in social networks in Physical Review Letters. Specifically we have studied the impact of the heterogeneity of human activity in propagation of emails, rumors, hoaxes, etc. Tracking email marketing campaigns, executed by IBM Corporation in 11 European countries, we were able to compare their viral propagation with our theory (see below the campaigns details). The results are very simple.
09 February 2006 / / Science
When tea is poured in a cup of hot water, we observe a phenomenon called diffusion: in the end particles of tea spread evenly throughout the mass of water and we enjoy our cup of tea. Diffusion occurs as a result of the second law of thermodynamics (increase of entropy) and can be modeled quantitatively using the diffusion equation (or heat equation). This is a funny equation, since it establishes that the velocity of spreading is infinite while the mean root square fluctuations of the position of the particles grows in time as