Mining and clustering mobility evolution patterns from social media for urban informatics

Mining human mobility data and social media for smart services

Social Interaction Design Patterns for Urban Media Architecture

Media architecture has emerged as a relevant field of study within HCI since its inception at the turn of the century. While media architecture has the potential to radically affect the social space into which it is introduced, much research in the field was initially carried out through experimental installations in public spaces, often with higher emphasis on examining the properties of this ...

Mining online social networks with Python to study urban mobility

On-line social networks have grown quickly over the last few years and nowadays many people use them frequently. Furthermore the emergence of smartphones allows to access these networks any time from any physical location. Among the social networks, Twitter offers a particularly large set of data publicly available. Here we discuss the procedure to mine this data and store it in distributed dat...

Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data

Most existing human mobility literature focuses on exterior characteristics of movements but neglects activities, the driving force that underlies human movements. In this research, we combine activity-based analysis with a movement-based approach to model the intra-urban human mobility observed from about 15 million check-in records during a yearlong period in Shanghai, China. The proposed mod...

Social Media Mining: Major Concerns in Social Media Mining

Social Media has gained remarkable attention. This is due to the affordability of accessing social network sites such as Twitter, Google+, Facebook and other social network sites. Organizations and people relying on the Social Media for information and opinion of other users on diverse subject matters Online Social Network (OSN) mining has been a active area of research in the current years. Th...