Category: Publications

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Rapid assessment of disaster damage using social media activity

Yury Kryvasheyeu1, Haohui Chen, Nick Obradovich, Esteban Moro, Pascal Van Hentenryck, James Fowler and Manuel Cebrian, Science Advances  11 Mar 2016: Vol. 2, no. 3, e1500779 [LINK] Summary: 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...

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Fully nonlinear dynamics of stochastic thin-film dewetting

S. Nesic, R. Cuerno, E. Moro, and L. Kondic Physical Review E 92, 061002(R) [LINK] [PDF] Summary: 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...

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Daily rhythms in mobile telephone communication

Talayeh Aledavood , Eduardo López, Sam G. B. Roberts, Felix Reed-Tsochas, Esteban Moro, Robin I. M. Dunbar, Jari Saramäki PLoS ONE 10(9), e0138098 [LINK] Summary: Circadian rhythms are known to be important drivers of human activity and the recent availability of electronic records of human behaviour has provided fine-grained data of temporal patterns of activity on a large scale. Further, questionnaire studies...

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From Seconds to Months: multi-scale dynamics of mobile telephone calls

Jari Saramaki, Esteban Moro arXiv:1504.01479 [PDF] Summary: Big Data on electronic records of social interactions allow approaching human behaviour and sociality from a quantitative point of view with unforeseen statistical power. Mobile telephone Call Detail Records (CDRs), automatically collected by telecom operators for billing purposes, have proven especially fruitful for understanding one-to-one communication patterns as well as the dynamics of social...

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Social media fingerprints of unemployment

Alejandro Llorente, Manuel García-Herránz, Manuel Cebrián and Esteban Moro (2014), PLoS ONE 10(5): e0128692 [LINK] Summary: Publicly available social media data can be used to quantify deviations from typical patterns of behavior and uncover how these deviations signal the socio-economical status of regions. Using data from geolocalized Twitter messages, we find that unemployment is correlated with technology adoption, daily activity, diversity in...