Johan Bollen
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.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. Provided by Wikipedia
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Quantifying collective identity online from self-defining hashtags by Alexander T. J. Barron, Johan Bollen
Published 2022-09-01
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Online identity as a collective labeling process by Alexander T J Barron, Marijn ten Thij, Johan Bollen
Published 2023-01-01
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Sociodemographics and Transdiagnostic Mental Health Symptoms in SOCIAL (Studies of Online Cohorts for Internalizing Symptoms and Language) I and II: Cross-sectional Survey and Boto... by Lorenzo Lorenzo-Luaces, Jacqueline Howard, Andy Edinger, Harry Yaojun Yan, Lauren A Rutter, Danny Valdez, Johan Bollen
Published 2022-10-01
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Clickstream data yields high-resolution maps of science. by Johan Bollen, Herbert Van de Sompel, Aric Hagberg, Luis Bettencourt, Ryan Chute, Marko A Rodriguez, Lyudmila Balakireva
Published 2009-01-01
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Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning by Andy Edinger, Danny Valdez, Eric Walsh-Buhi, Jennifer S Trueblood, Lorenzo Lorenzo-Luaces, Lauren A Rutter, Johan Bollen
Published 2023-06-01
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Assessing rigid modes of thinking in self-declared abortion ideology: natural language processing insights from an online pilot qualitative study on abortion attitudes by Danny Valdez, Kristen N. Jozkowski, Katherine Haus, Marijn ten Thij, Brandon L. Crawford, María S. Montenegro, Wen-Juo Lo, Ronna C. Turner, Johan Bollen
Published 2022-06-01
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