A Large number of people are using social media. The data of social media records all the
behaviors of social interactions of users, which are fruitful to analyze. However, it is
challenging to gain insights from such large and heterogeneous data, which includes social
networks, spatial-temporal information, and text information, etc. We first identify the problems
in social media analysis, including exploring movement patterns in the physical world, exploring
information diffusion patterns among social media users, and analyzing significant events'
evolution in social media. To solve these problems and challenges, we propose novel methods of
map-based visual analytics approaches. We project the unstructured information in physical space
and abstracted space onto a structured map space with semantics. With these approaches, users are
able to understand the data features of the social media data space. Moreover, we support the
interactive visual analytics process in the constructed map, to support users to analyze the
spatial, temporal and attributes to derive the insight. We also apply our methods in real-world
social media data and analyze many patterns from the complex dataset.
Dr. Siming Chen is a Research Scientist at Fraunhofer Institute IAIS (Intelligent Analysis and
Information Systems) and a Postdoc Researcher at the University of Bonn in Germany. He received his
Ph.D. in computer science at the School of EECS, Peking University and received his BS degree in
computer science at Fudan University. His research interests are visualization and visual
analytics, with the emphasis on social media visualization, spatial-temporal visual analytics, and
cybersecurity visual analytics. He has published papers in top conferences and journals, including
IEEE VIS, IEEE TVCG, EuroVis, etc. He was awarded 10 best paper/poster awards and honorable
mentioned awards in multiple conferences, including EuroVA, ChinaVis, AGILE, IEEE VIS Poster and
won multiple IEEE VAST Challenge Excellent Awards.
University of Stuttgart, Powerwall Room, VISUS, cellar
The talk will be transmitted to Konstanz, Powerwall Room C202