Johan Bollen

Johan Lambert Trudo Maria Bollen (born 1971) is a scientist that currently investigates 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 socia 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.

Bollen received his MS in Experimental Psychology from the Free University of Brussels in 1993 after a master thesis "Learning to Select Activities: a Conditionable System for an Autonomous Robot that Learns to Use Drive Reduction as Reinforcement." He defended his Ph.D. in Psychology from the Free University of Brussels in October 2001 on the subject of cognitive models of human hypertext navigation.

From 2002 to 2005 he was an Assistant Professor at the Department of Computer Science of Old Dominion University. He was a Staff Scientist at the Los Alamos National Laboratory from 2005-2009. He is currently an Associate Professor at the Indiana University School of Informatics and Computing.

Bollen's work has been extensively covered in the press and popular media and has received over 6,900 citations (2016 h-index 33). Bollen was awarded two patents: one for "Usage based indicators to assess the impact of scholarly works: architecture and method" (US 8135662 B2) and "Predicting economic trends via network communication mood tracking" (US 8380607 B2). His work has found widespread application, e.g. in systems for digital library recommendations systems (Ex Libris bX Recommender Service) and in systems that use social media information to generate financial trading signals. As a result on his work on predicting the stock market based on Twitter mood, Derwent Capital Markets started the Absolute Return fund, the worlds's first Twitter hedge fund. However, it later shut down after thirteen months.

Bollen has published over 100 papers. A selection of the highly cited ones:

• 2011, Twitter mood predicts the stock market.
• 2005, Co-authorship networks in the digital library research community.
• 2009, Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena
• 2006, Journal Status.
• 2009, A Principal Component Analysis of 39 Scientific Impact Measures
• 2005, Toward alternative metrics of journal impact: A comparison of download and citation data

• Johan Bollen at DBLP Bibliography Server
• Johan Bollen's publications indexed by Google Scholar
• http://arxiv.org/pdf/1010.3003v1.pdf
• http://public.lanl.gov/herbertv/papers/Papers/2005/IPMliu.pdf
• Liu, Xiaoming; Bollen, Johan; Nelson, Michael L.; Van de Sompel, Herbert (1 December 2005). "Co-authorship networks in the digital library research community". Information Processing & Management. 41 (6): 1462–1480. doi:10.1016/j.ipm.2005.03.012. 
• Bollen, Johan; Pepe, Alberto; Mao, Huina (2009). "Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena". arXiv:0911.1583. 
• Bollen, Johan; Rodriquez, Marko A.; Van de Sompel, Herbert (1 December 2006). "Journal status". Scientometrics. 69 (3): 669–687. doi:10.1007/s11192-006-0176-z. 
• Bollen, Johan; Van de Sompel, Herbert; Hagberg, Aric; Chute, Ryan; Mailund, Thomas (28 June 2009). Mailund, Thomas, ed. "A Principal Component Analysis of 39 Scientific Impact Measures". PLoS ONE. 4 (6): e6022. doi:10.1371/journal.pone.0006022. PMC 2699100. PMID 19562078. 
• Bollen, Johan; Van de Sompel, Herbert; Smith, Joan A.; Luce, Rick (1 December 2005). "Toward alternative metrics of journal impact: A comparison of download and citation data". Information Processing & Management. 41 (6): 1419–1440. doi:10.1016/j.ipm.2005.03.024.