activity
20112015
most citedModeling the adoption of innovations in the presence of geographic and media influences

158 citations · 291 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2015

Tracking Employment Shocks Using Mobile Phone Data

Jameson L. Toole, Yu-Ru Lin, Erich Muehlegger +3

Can data from mobile phones be used to observe economic shocks and their consequences at multiple scales? Here we present novel methods to detect mass layoffs, identify individuals…

physics.soc-ph2015

Coupling Human Mobility and Social Ties

Jameson L. Toole, Carlos Herrera-Yague, Christian M. Schneider +1

Studies using massive, passively data collected from communication technologies have revealed many ubiquitous aspects of social networks, helping us understand and model social med…

physics.soc-ph2014★ 15 cited

The path most travelled: Mining road usage patterns from massive call data

Jameson L. Toole, Serdar Colak, Fahad Alhasoun +2

Rapid urbanization places increasing stress on already burdened transportation systems, resulting in delays and poor levels of service. Billions of spatiotemporal call detail recor…

stat.ML2012★ 118 cited

Inferring land use from mobile phone activity

Jameson L. Toole, Michael Ulm, Dietmar Bauer +1

Understanding the spatiotemporal distribution of people within a city is crucial to many planning applications. Obtaining data to create required knowledge, currently involves cost…

cs.SI2011★ 158 cited

Modeling the adoption of innovations in the presence of geographic and media influences

Jameson L. Toole, Meeyoung Cha, Marta C. Gonzalez

While there has been much work examining the affects of social network structure on innovation adoption, models to date have lacked important features such as meta-populations refl…