Esteban Moro Talk

Monday June 13th is shaping up to be an exciting day for data science in Copenhagen. I’ve already announced that Christo Wilson is giving a talk at DTU, but now I’m happy to add Esteban Moro to the speaker line-up for a fantastic double bill. (And Piotr’s PhD defense at 2pm that afternoon will also be quite an event)

Esteban Moro is a researcher at Universidad Carlos III de Madrid in the GISC group working on complex systems. On his superb blog he notes that “The fact that the systems under study are complex does not mean that its behavior cannot be understood or anticipated. I believe research must be interdisciplinary and close to real life problems and because of that, I do research in social networks, financial markets or viral marketing (complex enough!)”.

Esteban’s work is creative, inspiring, and always exciting (plus often covered in the press). We are lucky to have him. The details of Esteban’s talk are

  • Time Monday June 13th, 10:45am
  • Place: DTU, Building 321, 1st floor lab space

Title: Pace of change in urban social networks

Abstract: Urban communities are seen both as highly structured social settings as well as distinctly vibrant environments for interaction, where personal relationships are initiated, consolidated and, eventually, lost and replaced by new relationships. Here we investigate statistical relationships between the social structure of the urban community and the pace at which such structure changes over time. To this end, we analyze the 19-month evolution of the social interactions pertaining to urban communities in England, Wales and Scotland, as described by 700 million of mobile phones calls made among 20 million inhabitants. We find that different urban communities display not only distinct social structures but also alter such structures at widely different paces. Furthermore, we investigate the impact of this heterogeneity in the network varying structure on information diffusion processes by simulating SI models. Our results indicate that time to infection can be well predicted using only static variables of the network, such as the number of connections, leading to the conclusion that the observed vibrant mechanics in link creation have a negligible impact on the information diffusion in terms of geographical spreading.

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