Brief encounters

A significant relationship between temporal factors and network structure in urban mobility patterns was identified through advanced analysis of Bluetooth data. The study, conducted in the city of Bath, UK, utilized a longitudinal dataset comprising millions of records from over 70,000 unique devices. Researchers developed a toolkit of algorithms and visualization techniques to model spatial and temporal patterns of movement, presence, and encounter. This innovative approach sheds light on how time influences the structure of urban networks, offering insights that could inform the design and implementation of urban pervasive computing systems.

Kostakos, V., O’Neill, E., Penn, A., Roussos, G., & Papadongonas, D. (2010). Brief encounters. ACM Transactions on Computer-Human Interaction, 17(1), 1–38. https://doi.org/10.1145/1721831.1721833