In the past few years, the social science literature has shown significance attention to
extracting information from social media to track and analyse human movements. In this …

The primary objective of this study was to investigate how to incorporate human activity
information in spatial analysis of crashes in urban areas using Twitter check-in data. This …

In this study, we analyze Twitter data to understand information spreading activities of social
media users during Hurricane Sandy. We create multiple subgraphs of Twitter users based …

The complex topology of real networks allows its actors to change their functional behavior.
Network models provide better understanding of the evolutionary mechanisms being …

Online social media have become an integral part of our social beings. Analyzing
conversations in social media platforms can lead to complex probabilistic models to …

Social media produce an unprecedented amount of information that can be extracted and
used in transportation research, with one of the most promising areas being the inference of …

Traffic prediction is a topic of increasing importance for research and applications in the
domain of routing and navigation. Unfortunately, open data are rarely available for this …

Internet is capturing more and more of our time each day, and the increasing levels of
engagement are mainly due to the use of social media. Time spent on social media is …

The complex topology of real networks allows its actors to change their functional behavior.
Network models provide better understanding of the evolutionary mechanisms being …

Social media data can potentially be a good source of information for travel behavior and
could potentially become a record of longitudinal travel behavior. Before judging their …