#Social Networks #Twitter #Politics

Comunidades de partidarios en redes sociales: estudio de las elecciones catalanas de 2010 y 2012

Authors: Esteban Moro Book: Cotarelo, R. & Olmeda, J.A. (Comps.) (forthcoming). La democracia del siglo XXI. Política, medios de comunicación, internet y redes sociales. Actas de las II Jornadas españolas de ciberpolítica, 28 de mayo de 2013. Madrid: Centro de Estudios Políticos y Constitucionales. [pdf] Abstract: En los últimos años hemos asistido a un incremento notable de eventos de carácter político y/o social que han sido promovidos (cuando no originados) a través de medios de comunicación electrónicos. ...

#Social networks #Twitter #Sensors

Using Friends as Sensors to Detect Global-Scale Contagious Outbreaks

Authors: Manuel Garcia-Herranz, Esteban Moro, Manuel Cebrian, Nicholas A. Christakis and James H. Fowler Journal: PLoS ONE 9(4): e92413 (2014) LINK SummaryRecent research has focused on the monitoring of global–scale online data for improved detection of epidemics, mood patterns, movements in the stock market political revolutions, box-office revenues, consumer behaviour and many other important phenomena. However, privacy considerations and the sheer scale of data available online are quickly making global monitoring infeasible, and existing methods do not take full advantage of local network structure to identify key nodes for monitoring. ...

#Social networks #Twitter #Hurricane #Sandy #Disaster

Performance of Social Network Sensors During Hurricane Sandy

Authors: Yury Kryvasheyeu, Haohui Chen, Esteban Moro, Pascal Van Hentenryck, Manuel Cebrian Journal: PLoS ONE 10(2): e0117288 (2015) LINK Summary Information flow during catastrophic events is a critical aspect of disaster management. Modern communication platforms, in particular online social networks, provide an opportunity to study such flow, and a mean to derive early-warning sensors, improving emergency preparedness and response. Performance of the social networks sensor method, based on topological and behavioural properties derived from the “friendship paradox”, is studied here for over 50 million Twitter messages posted before, during, and after Hurricane Sandy. ...

#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. ...

#Human behavior #Credit Card Data #Predictability

The predictability of consumer visitation patterns

Authors: Coco Krumme, Alejandro Llorente, Manuel Cebrian, Alex (“Sandy”) Pentland & Esteban Moro Journal: Sci. Rep. 3, 1645; (2013). LINK Abstract: We consider hundreds of thousands of individual economic transactions to ask: how predictable are consumers in their merchant visitation patterns? Our results suggest that, in the long-run, much of our seemingly elective activity is actually highly predictable. Notwithstanding a wide range of individual preferences, shoppers share regularities in how they visit merchant locations over time. ...

#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. ...