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Authors: Yury Kryvasheyeu1, Haohui Chen, Nick Obradovich, Esteban Moro, Pascal Van Hentenryck, James Fowler and Manuel Cebrian Journal: Science Advances 11 Mar 2016: Vol. 2, no. 3, e1500779 (2016) LINK Abstract: Could social media data aid in disaster response and damage assessment? Countries face both an increasing frequency and an increasing intensity of natural disasters resulting from climate change. During such events, citizens turn to social media platforms for disaster-related communication and information. ...

Authors: S. Nesic, R. Cuerno, E. Moro, and L. Kondic Journal: Physical Review E 92, 061002(R) LINK | PDF Abstract: The spontaneous formation of droplets via dewetting of a thin fluid film from a solid substrate allows materials nanostructuring. Often, it is crucial to be able to control the evolution, and to produce patterns characterized by regularly spaced droplets. While thermal fluctuations are expected to play a role in the dewetting process, their relevance has remained poorly understood, particularly during the nonlinear stages of evolution that involve droplet formation. ...

From the “Small World Experiment” to the “Red Balloon Challenge,” and beyond We live in a small world, right? But the cost and fragility of navigating it could harm any potential strategy to leverage the power of social networks. Read this fascinating story of the research, experiments, and failures in the quest for using social networks to search information/people: [Excerpt of the article] Our ability to search social networks for people and information is fundamental to our success. ...

El Mundo “Papel” Magazine published an interview with me about the uses (and abuses) of big data in research/industry. The headline is a little bit controversial, but I talk about many other things like the use of BigData in development, administrations, health and politics. Here is the link And the printer version is here:

This is a recent article publish in Medium.com by David Martín-Corral, Manuel Cebrián and myself in which we analyze the super-scaling of touristic attraction (number of events) with population. Amazingly we found that the number of events (music/theater/sports/etc.) scales super-linearly with the population of the city. So yes! more people means more fun! Read the article in Medium

Video of my talk “Dynamics in Complex Networks: Analysing Real-world Data” at the Workshop on Complex Network Mining and Analysis in Wrocław, Poland, January 2016 You can also find the transparencies here