23 citations · 30 across the 7 of their papers we have counts for
6 papers · 1 filter
The darkweb: a social network anomaly
Kevin P. O'Keeffe, Virgil Griffith, Yang Xu +2
We analyse the darkweb and find its structure is unusual. For example, of darkweb sites \emph{never} link to another site. To call the darkweb a "web" is thus a misno…
The spectral dimension of human mobility
Lei Dong, Kevin O'Keeffe, Paolo Santi +5
Human mobility patterns are surprisingly structured. In spite of many hard to model factors, such as climate, culture, and socioeconomic opportunities, aggregate migration rates ob…
Using reinforcement learning to minimize taxi idle times
Kevin O'Keeffe, Sam Anklesaria, Paolo Santo +1
Taxis spend a significant amount of time idle, searching for passengers. The routes vacant taxis should follow in order to minimize their idle times are hard to calculate; they dep…
Modeling vehicular mobility patterns using recurrent neural networks
Kevin O'Keeffe, Paolo Santi, Carlo Ratti
Data on vehicular mobility patterns have proved useful in many contexts. Yet generative models which accurately reproduce these mobility patterns are scarce. Here, we explore if re…
Urban sensing as a random search process
Kevin O'Keeffe, Paolo Santi, Brandon Wang +1
We study a new random search process: the \textit{taxi-drive}. The motivation for this process comes from urban sensing, in which sensors are mounted on moving vehicles such as tax…
Quantifying the sensing power of crowd-sourced vehicle fleets
Kevin P. O'Keeffe, Amin Anjomshoaa, Steven H. Strogatz +2
Sensors can measure air quality, traffic congestion, and other aspects of urban environments. The fine-grained diagnostic information they provide could help urban managers to moni…