#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). ...

#R #Temporal Networks #igraph

Temporal networks with igraph and R (with 20 lines of code!)

UPDATE: the version of the R code in this post does not work with newer versions of the igraph package (> 1.0). I have posted an updated version of this post here: Temporal networks with R and igraph (updated). Please visit the new post to use the new code and follow the discussion there. In my last post about how a twitter conversation unfolds in time on Twitter, the dynamical nature of information diffusion in twitter was illustrated with a video of the temporal network of interactions (RTs) between accounts. ...

Preferential attachment: be first

Preferential attachment is a key process governing the dynamics of many economic, social and biological process. It is the “The rich get richer” mechanism by which a quantity is distributed among individuals according to how much they already have. It also happens in social networks and the ones that have more social connectivity (the “hubs”) receive more new connections than the poorly connected. In a famous paper, Laszlo Barabási and Reka Albert encoded this mechanics in the so called Barabasi-Albert model to generate random scale free-networks. ...

#R #Temporal Networks #igraph #Twitter #Social Networks

Temporal network of information diffusion in Twitter

Millions of tweets, retweets and mentions are exchanged in Twitter everyday about very different subjects, events, opinions, etc. While aggregating this data over a time window might help to understand some properties of those processes in online social networks, the speed of information diffusion around particular time-bound events requires a temporal analysis of them. To show that (and with the help of the Text & Opinion Mining Group at IIC) we collected all tweets (750k) of the vibrant conversation around the disputed subject of the general strike of March 29th in Spain. ...