Johan Bollen | |
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Born | |
Nationality | Belgian |
Citizenship | United States of America |
Known for | Twitter mood predictions, Science of Science, MESUR[1] |
Scientific career | |
Fields | Complex Systems and Networks, Science of Science |
Institutions | Indiana University |
Doctoral advisor | Francis Heylighen |
Website | http://informatics.indiana.edu/jbollen/index.html |
Johan Lambert Trudo Maria Bollen (born 1971) is a scientist investigating complex systems and networks, the relation between social media and a variety of socio-economic phenomena such as the financial markets, public health, and social well-being, as well as Science of Science with a focus on impact metrics derived from usage data. He presently works as associate professor at the Indiana University School of Informatics of Indiana University Bloomington and a fellow at the SparcS Institute of Wageningen University and Research Centre in the Netherlands. He is best known for his work on scholarly impact metrics, measuring public well-being from large-scale social media data, and correlating Twitter mood to stock market prices.[2]
He has taught courses on data mining, information retrieval, and digital libraries. His research has been funded by The Andrew W. Mellon Foundation, National Science Foundation, Library of Congress, National Aeronautics and Space Administration and the Los Alamos National Laboratory. In his free time, he DJs at the Root Cellar Lounge in Bloomington, Indiana. He specializes in Deep House and Techno.