Johan Bollen
| Johan Bollen | |
|---|---|
| Born |
5 November 1971 Belgium |
| Nationality | Belgian |
| Fields | Complex Networks and Systems, |
| Institutions | Indiana University |
| Academic advisors | Francis Heylighen |
| Known for | Twitter mood predictions, MESUR[1] |
|
Website http://informatics.indiana.edu/jbollen/index.html | |
Johan Lambert Trudo Maria Bollen (born 1971) is a Belgian scientist currently investigating Meme diffusion, the relation between social media and science, markets and sentiment and metrics from usage data. He presently works as associate professor at the Indiana University School of Informatics and Computing. He is best known for correlating Twitter mood to stock market prices, although with controversies of data mining bias.[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.
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
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]
- 2011, Twitter mood predicts the stock market.[2][9]
- 2005, Co-authorship networks in the digital library research community.[10][11]
- 2009, Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena [12]
- 2006, Journal Status.[13]
- 2009, A Principal Component Analysis of 39 Scientific Impact Measures[14]
- 2005, Toward alternative metrics of journal impact: A comparison of download and citation data[15]
References
- ↑ "Mesur - Homepage". Mesur.org. Retrieved 2013-12-01.
- 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.
- ↑ "Johsn Bollen - CV" (PDF). Cs.odu.edu. Retrieved 2013-12-01.
- ↑ "News". Vub.ac.be. Retrieved 2013-12-01.
- ↑ 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.
- ↑ "Investing in the social media age". GulfNews.com. 2013-09-15. Retrieved 2013-12-01.
- ↑ Johan Bollen's publications indexed by the DBLP Bibliography Server at the University of Trier
- ↑ Johan Bollen's publications indexed by Google Scholar, a service provided by Google
- ↑ 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.