Abstract

Nowadays the Web and other information resources and exchange mediums such as Twitter, Snapchat and many others provide many novel opportunities for the analysis of human behaviors. In this lecture, the speaker will introduce serval examples of recent work that consider these information means as a big data system that offers several avenues for social and economic studies. He will first introduce a graph-based and computational modelling approach that derives the main structural, temporal and spatial properties that emerge from the study of a research community exhibited by a series of conferences over the Web. Next, he will present a study that explores large crowd behavior at the regional scale in Japan. Patterns are analyzed in space and time, and emotions are categorized using a sentiment-based dictionary approach. Finally, he will discuss some of the many opportunities left for further research.

About the speaker

Prof Claramunt received his PhD in Computer Science from the University of Burgundy in 1998. Meanwhile, he was also a Senior Lecturer in Computing in the Nottingham Trent University from 1997 to 2001. He then moved to the Naval Academy Research Institute in France as the Head of Geographical Information Science (GIS) Research Group and is currently the Professor in Computer Science and Deputy Director of the Naval Academy Research Institute.

Prof Claramunt’s research interests include spatio-temporal models and theories; semantic and cognitive-based GIS; WEB, wireless and GIS systems and; maritime, environmental and urban GISs.

Prof Claramunt has widely published in the domain of GIS and serves in the editorial boards of several international GIS journals.

For attendees’ attention

The lecture is free and open to all. Seating is on a first come, first served basis.

HKUST Jockey Club Institute for Advanced Study
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