Social Media Visual Analytics with Interactive Semantic Maps
Event date:  January 20, 2020, 4:00 PM  to 5:00 PM


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


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