#complexity #diffusion #humans #social networks #viral

Relationship mining

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]. ...

#humans #marketing #simulation #stochastic #viral

The speed and reach of forwarded emails, rumors, and hoaxes in electronic social networks

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. ...

Ph.D. offer... interested?

Our research group is looking for Ph.D. candidates. Here is the announcement ![mosaico](http://estebanmoro.org/wp-content/uploads/2009/06/mosaico.jpg) We offer contracts to work for a Ph.D. within the project MOSAICO (Modelling, Analysis and Simulations of Complex Systems). Candidates must have a degree in physics, math or related disciplines with outstanding marks. Info on the research lines is available from [http://www.gisc.es](http://www.gisc.es) and work will be carried out at Universities Complutense or Carlos III de Madrid. Work will begin on October 1st, 2009. ...

#arcsin law #brownian motion #paradox #stochastic

The probability of going through a bad patch

We’ve heard it: people that invest on the stock market or that gamble in lotteries, casinos, etc usually say “I’m going through a bad patch” (or bad spell). That is, they have been losing money for a while, but hey! better times are ahead and there’s no reason to quit. Are they sure? Are better times ahead? How close is “ahead” to today? Let’s work through a specific example to see how far is “ahead”. ...