Johan Bollen

Johan Bollen
Born (1971-11-05) 5 November 1971
Belgium
Citizenship United States of America
Nationality Belgian
Fields Complex Systems and Networks, Science of Science
Institutions Indiana University
Doctoral advisor Francis Heylighen
Doctoral students Huina Mao, Xin Shuai
Known for Twitter mood predictions, Science of Science, MESUR[1]
Website
http://informatics.indiana.edu/jbollen/index.html

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.[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.

Biography

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."[3] 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.[4] 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.

Work

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.[5] However, it later shut down after thirteen months.[6]

Selected academic works

Bollen has published over 100 papers.[7] A selection of the highly cited ones:[8]

References

  1. ↑ "Mesur - Homepage". Mesur.org. Retrieved 2013-12-01.
  2. 1 2 Bollen, Johan; Mao, Huina; Zeng, Xiaojun (28 February 2011). "Twitter mood predicts the stock market". Journal of Computational Science. 2 (1): 1–8. doi:10.1016/j.jocs.2010.12.007.
  3. ↑ "Johan Bollen - CV" (PDF). Cs.odu.edu. Retrieved 2013-12-01.
  4. ↑ "News". Vub.ac.be. Retrieved 2013-12-01.
  5. ↑ Assoian, Michael. "British hedge fund invests 25 million pounds for IU professor's Twitter research | Campus | Indiana Daily Student". Idsnews.com. Retrieved 2013-12-01.
  6. ↑ "Investing in the social media age". GulfNews.com. 2013-09-15. Retrieved 2013-12-01.
  7. ↑ Johan Bollen at DBLP Bibliography Server
  8. ↑ Johan Bollen's publications indexed by Google Scholar
  9. ↑ http://arxiv.org/pdf/1010.3003v1.pdf
  10. ↑ http://public.lanl.gov/herbertv/papers/Papers/2005/IPMliu.pdf
  11. ↑ 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.
  12. ↑ Bollen, Johan; Pepe, Alberto; Mao, Huina (2009). "Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena". arXiv:0911.1583Freely accessible.
  13. ↑ 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.
  14. ↑ 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 2699100Freely accessible. PMID 19562078.
  15. ↑ 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.
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