#Netmob #Mobile Phone data #Conferences

Netmob 2019

Another edition of Netmob is happening this year 2019. NetMob is the primary conference in the analysis of mobile phone datasets in social, urban, societal and industrial problems. Previous editions in Boston and Milano brought together more than 250 researchers, practitioners and decision-makers from more 140 institutions and 30 countries. I had the pleasure to organize the 2015 edition and it was a blast to put together so much interesting talks, people, projects. ...

#Temporal Networks #Social Networks #Mobile Phone Data

Temporal patterns behind the strength of persistent ties

Authors: Henry Navarro, Giovanna Miritello, Arturo Canales, Esteban Moro Journal: EPJ Data Science (2017) 6:31 LINK Abstract: Social networks are made out of strong and weak ties having very different structural and dynamical properties. But what features of human interaction build a strong tie? Here we approach this question from a practical way by finding what are the properties of social interactions that make ties more persistent and thus stronger to maintain social interactions in the future. ...

#Netmob #Mobile phone data #Conferences

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 theD4D Challenge by Orange. They were 3 amazing days of applications and analysis of mobile phone datasets, preceded by one-day school and 3 days Hackathon. ...

#Social networks #Temporal Networks #Mobile Phone Data

Time allocation in social networks: correlation between social structure and human communication dynamics

Authors: Giovanna Miritello, Rubén Lara, and Esteban Moro Book: “Temporal Networks”, Springer, 2013. Series: Understanding Complex Systems. Holme, Petter; Saramaki, Jari (Eds.) [PDF]((http://arxiv.org/pdf/1305.3865v1.pdf) Summary Recent research has shown the deep impact of the dynamics of human interactions (or temporal social networks) on the spreading of information, opinion formation, etc. In general, the bursty nature of human interactions lowers the interaction between people to the extent that both the speed and reach of information diffusion are diminished. ...

#Temporal networks #Human behavior #Mobile Phone Data

Limited communication capacity unveils strategies for human interaction

Authors: Giovanna Miritello, Rubén Lara, Manuel Cebrián and Esteban Moro Journal: Scientific Reports 3, 1950 (2013). LINK Abstract: Social connectivity is the key process that characterizes the structural properties of social networks and in turn processes such as navigation, influence or information diffusion. Since time, attention and cognition are inelastic resources, humans should have a predefined strategy to manage their social interactions over time. However, the limited observational length of existing human interaction datasets, together with the bursty nature of dyadic communications have hampered the observation of tie dynamics in social networks. ...

#Social Networks #Mobile Phone Data #Diffusion #Human behavior

Dynamical strength of social ties in information spreading

Authors: Giovanna Miritello, Esteban Moro y Rubén Lara Journal: Physical Review E (Rapid Comm) 83, 045102 (2011). LINK | arXiv Abstract: We investigate the temporal patterns of human communication and its influence on the spreading of information in social networks. The analysis of mobile phone calls of 20 million people in one country shows that human communication is bursty and happens in group conversations. These features have opposite effects in information reach: while bursts hinder propagation at large scales, conversations favor local rapid cascades. ...