Johan Bollen

Last updated
Johan Bollen
Born (1971-11-05) 5 November 1971 (age 52)
NationalityBelgian
CitizenshipUnited States of America
Known forTwitter mood predictions, Science of Science, MESUR [1]
Scientific career
FieldsComplex 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.

Contents

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 to 2009. He is currently a 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 of 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 70 papers. [7] A selection of the highly cited ones: [8]

Related Research Articles

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The Open Archives Initiative (OAI) was an informal organization, in the circle around the colleagues Herbert Van de Sompel, Carl Lagoze, Michael L. Nelson and Simeon Warner, to develop and apply technical interoperability standards for archives to share catalogue information (metadata). The group got together in the late late 1990s and was active for around twenty years. OAI coordinated in particular three specification activities: OAI-PMH, OAI-ORE and ResourceSync. All along the group worked towards building a "low-barrier interoperability framework" for archives containing digital content to allow people harvest metadata. Such sets of metadata are since then harvested to provide "value-added services", often by combining different data sets.

Physical Review Letters (PRL), established in 1958, is a peer-reviewed, scientific journal that is published 52 times per year by the American Physical Society. As also confirmed by various measurement standards, which include the Journal Citation Reports impact factor and the journal h-index proposed by Google Scholar, many physicists and other scientists consider Physical Review Letters to be one of the most prestigious journals in the field of physics.

The Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) is a protocol developed for harvesting metadata descriptions of records in an archive so that services can be built using metadata from many archives. An implementation of OAI-PMH must support representing metadata in Dublin Core, but may also support additional representations.

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly mean number of citations of articles published in the last two years in a given journal, as indexed by Clarivate's Web of Science.

<span class="mw-page-title-main">Bibliometrics</span> Statistical analysis of written publications

Bibliometrics is the use of statistical methods to analyse books, articles and other publications, especially in scientific contents. Bibliometric methods are frequently used in the field of library and information science. Bibliometrics is closely associated with scientometrics, the analysis of scientific metrics and indicators, to the point that both fields largely overlap.

Scientometrics is the field of study which concerns itself with measuring and analysing scholarly literature. Scientometrics is a sub-field of informetrics. Major research issues include the measurement of the impact of research papers and academic journals, the understanding of scientific citations, and the use of such measurements in policy and management contexts. In practice there is a significant overlap between scientometrics and other scientific fields such as information systems, information science, science of science policy, sociology of science, and metascience. Critics have argued that over-reliance on scientometrics has created a system of perverse incentives, producing a publish or perish environment that leads to low-quality research.

IEEE Transactions on Information Theory is a monthly peer-reviewed scientific journal published by the IEEE Information Theory Society. It covers information theory and the mathematics of communications. It was established in 1953 as IRE Transactions on Information Theory. The editor-in-chief is Muriel Médard. As of 2007, the journal allows the posting of preprints on arXiv.

<span class="mw-page-title-main">Market sentiment</span> General attitude of investors to market price development

Market sentiment, also known as investor attention, is the general prevailing attitude of investors as to anticipated price development in a market. This attitude is the accumulation of a variety of fundamental and technical factors, including price history, economic reports, seasonal factors, and national and world events. If investors expect upward price movement in the stock market, the sentiment is said to be bullish. On the contrary, if the market sentiment is bearish, most investors expect downward price movement. Market participants who maintain a static sentiment, regardless of market conditions, are described as permabulls and permabears respectively. Market sentiment is usually considered as a contrarian indicator: what most people expect is a good thing to bet against. Market sentiment is used because it is believed to be a good predictor of market moves, especially when it is more extreme. Very bearish sentiment is usually followed by the market going up more than normal, and vice versa. A bull market refers to a sustained period of either realized or expected price rises, whereas a bear market is used to describe when an index or stock has fallen 20% or more from a recent high for a sustained length of time.

Citation impact or citation rate is a measure of how many times an academic journal article or book or author is cited by other articles, books or authors. Citation counts are interpreted as measures of the impact or influence of academic work and have given rise to the field of bibliometrics or scientometrics, specializing in the study of patterns of academic impact through citation analysis. The importance of journals can be measured by the average citation rate, the ratio of number of citations to number articles published within a given time period and in a given index, such as the journal impact factor or the citescore. It is used by academic institutions in decisions about academic tenure, promotion and hiring, and hence also used by authors in deciding which journal to publish in. Citation-like measures are also used in other fields that do ranking, such as Google's PageRank algorithm, software metrics, college and university rankings, and business performance indicators.

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Social data analysis is the data-driven analysis of how people interact in social contexts, often with data obtained from social networking services. The goal may be to simply understand human behavior or even to propagate a story of interest to the target audience. Techniques may involve understanding how data flows within a network, identifying influential nodes, or discovering trending topics.

The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. As a measure of importance, the Eigenfactor score scales with the total impact of a journal. All else equal, journals generating higher impact to the field have larger Eigenfactor scores. Citation metrics like eigenfactor or PageRank-based scores reduce the effect of self-referential groups.

Derwent Capital Markets was a pioneer in the use of social media sentiment analysis to trade financial derivatives. The company was founded in 2008 by co-owner Paul Hawtin. Derwent Capital Market's registered office is in London.

<span class="mw-page-title-main">Altmetrics</span> Alternative metrics for analyzing scholarship

In scholarly and scientific publishing, altmetrics are non-traditional bibliometrics proposed as an alternative or complement to more traditional citation impact metrics, such as impact factor and h-index. The term altmetrics was proposed in 2010, as a generalization of article level metrics, and has its roots in the #altmetrics hashtag. Although altmetrics are often thought of as metrics about articles, they can be applied to people, journals, books, data sets, presentations, videos, source code repositories, web pages, etc.

<span class="mw-page-title-main">Filippo Menczer</span> American and Italian computer scientist

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<span class="mw-page-title-main">Microsoft Academic</span> Online bibliographic database

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References

  1. "Mesur – Homepage". Mesur.org. Archived from the original on 2013-12-01. Retrieved 2013-12-01.
  2. 1 2 Bollen, Johan; Mao, Huina; Zeng, Xiao-Jun (March 2011). "Twitter mood predicts the stock market". Journal of Computational Science. 2 (1): 1–8. arXiv: 1010.3003 . doi:10.1016/j.jocs.2010.12.007. S2CID   14727513.
  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. Archived from the original on 2013-12-03. 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 OOjs UI icon edit-ltr-progressive.svg
  8. Johan Bollen publications indexed by Google Scholar OOjs UI icon edit-ltr-progressive.svg
  9. http://public.lanl.gov/herbertv/papers/Papers/2005/IPMliu.pdf [ bare URL PDF ]
  10. 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. arXiv: cs/0502056 . Bibcode:2005cs........2056L. doi:10.1016/j.ipm.2005.03.012. S2CID   2536130.
  11. Bollen, Johan; Pepe, Alberto; Mao, Huina (2009). "Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena". arXiv: 0911.1583 [cs.CY].
  12. Bollen, Johan; Rodriquez, Marko A.; Van de Sompel, Herbert (1 December 2006). "Journal status". Scientometrics. 69 (3): 669–687. arXiv: cs/0601030 . doi:10.1007/s11192-006-0176-z. S2CID   8572274.
  13. 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. arXiv: 0902.2183 . Bibcode:2009PLoSO...4.6022B. doi: 10.1371/journal.pone.0006022 . PMC   2699100 . PMID   19562078.
  14. 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. arXiv: cs/0503007 . Bibcode:2005IPM....41.1419B. doi:10.1016/j.ipm.2005.03.024. S2CID   9864663.
  15. Bollen, Johan (8 August 2018). "Who would you share your funding with?". Nature. 560 (7717): 143. Bibcode:2018Natur.560..143B. doi:10.1038/d41586-018-05887-3. PMID   30089925. S2CID   51940867.