#Social Mobilization #Social Networks

Limits of social mobilization

Authors: Alex Rutherford, Manuel Cebrian, Sohan Dsouza, Esteban Moro, Alex Pentland, and Iyad Rahwan Journal: PNAS 110 (16), 6281-6286 (2013) LINK Abstract: The Internet and social media have enabled the mobilization of large crowds to achieve time-critical feats, ranging from mapping crises in real time, to organizing mass rallies, to conducting search-and-rescue operations over large geographies. Despite significant success, selection bias may lead to inflated expectations of the efficacy of social mobilization for these tasks. ...

#Social Networks #Human Behavior #Strategies

Time as a limited resource: Communication Strategy in Mobile Phone Networks

Authors: Giovanna Miritello, Esteban Moro, Rubén Lara, Rocío Martínez-López, Sam G. B. Roberts, Robin I. M. Dunbar Journal: Social Networks 35, 89 (2013) LINK | arXiv Abstract: We used a large database of 9 billion calls from 20 million mobile users to examine the relationships between aggregated time spent on the phone, personal network size, tiestrength and the way in which users distributed their limited time across their network (disparity). Compared to those with smaller networks, those with large networks did not devote proportionally more time to communication and had on average weaker ties (as measured by time spent communicating). ...

#Social Networks #Recommendation algorithms #Stochastic Blocks

Predicting Human Preferences Using the Block Structure of Complex Social Networks

Authors: Roger Guimerà, Alejandro Llorente, Esteban Moro y Marta Sales-Pardo Journal: PLoS ONE 7, e44620 (2012) LINK Abstract: With ever-increasing available data, predicting individuals' preferences and helping them locate the most relevant information has become a pressing need. Understanding and predicting preferences is also important from a fundamental point of view, as part of what has been called a “new” computational social science. Here, we propose a novel approach based on stochastic block models, which have been developed by sociologists as plausible models of complex networks of social interactions. ...

#Agents #Complexity #Finance #Stock Market #Market Impact

Agent-specific impact of single trades in financial markets

Authors: Alex Bladon, Esteban Moro y Tobias Galla Journal: Physical Review E 85, 036103 (2012) LINK | arXiv Abstract: We present an analysis of the price impact associated with single trades effected by different financial firms. Using data from the Spanish Stock Market, we find a high degree of heterogeneity across different market members, both in the instantaneous impact functions and in the time-dependent market response to trades by individual members. ...

#Marketing #Viral #Social Networks

Branching dynamics of viral information spreading

Authors: José Luis Iribarren and Esteban Moro Journal: Physical Review E 84, 046116 (2011) LINK | arXiv Abstract: Despite its importance for rumors or innovations propagation, peer-to-peer collaboration, social networking, or marketing, the dynamics of information spreading is not well understood. Since the diffusion depends on the heterogeneous patterns of human behavior and is driven by the participants’ decisions, its propagation dynamics shows surprising properties not explained by traditional epidemic or contagion models. ...

#Social Networks #Twitter #Weak Ties

Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media

Authors: P. A. Grabowicz, J. J. Ramasco, E. Moro, J. P. Pujol and V. M. Eguiluz Journal: PLoS ONE 7(1): e29358 (2012). LINK Abstract: An increasing fraction of today’s social interactions occur using online social media as communication channels. Recent worldwide events, such as social movements in Spain or revolts in the Middle East, highlight their capacity to boost people’s coordination. Online networks display in general a rich internal structure where users can choose among different types and intensity of interactions. ...