Implicit None Blog

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Temporal networks with R and igraph (updated)

A while ago, I wrote a post about how to create animations of temporal networks using R and the amazing package igraph package. The post was written in 2012 and the code does not work with the most recent versions (1.0) of igraph. Here I revisited that post, improving its performance and also making it consistent with the new versions of...

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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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Netmob 2015

I had the pleasure to organize last edition of Netmob at MIT Media Lab (together with Sandy Pentland, Vincent Blondel and Yves-Alexandre de Montjoye). Netmob is the primary conference in the analysis of those datasets in social, urban, societal and industrial problems. Netmob 2015 also hosted the final part of the D4D Challenge by Orange. They were 3 amazing days of...

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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...