Abstract is: 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.
human | Q5 |
P864 | ACM Digital Library author ID | 81100608309 |
P2456 | DBLP author ID | b/JohanBollen |
P646 | Freebase ID | /m/0zg7hxc |
P1960 | Google Scholar author ID | jDmcdsUAAAAJ |
P1006 | Nationale Thesaurus voor Auteursnamen ID | 405413017 |
P856 | official website | http://informatics.indiana.edu/jbollen/index.html |
P496 | ORCID iD | 0000-0001-7031-9293 |
P3368 | Prabook ID | 2216115 |
P4012 | Semantic Scholar author ID | 1756468 |
P214 | VIAF ID | 6054147270472835700007 |
P27 | country of citizenship | Belgium | Q31 |
P184 | doctoral advisor | Francis Heylighen | Q3081489 |
P69 | educated at | Vrije Universiteit Brussel | Q612665 |
P108 | employer | Indiana University Bloomington | Q1079140 |
Indiana University | Q6608367 | ||
P734 | family name | Bollen | Q20995871 |
Bollen | Q20995871 | ||
Bollen | Q20995871 | ||
P735 | given name | Johan | Q10989273 |
Johan | Q10989273 | ||
P106 | occupation | computer scientist | Q82594 |
researcher | Q1650915 | ||
P21 | sex or gender | male | Q6581097 |
Q28036638 | A comparative study of academic and Wikipedia ranking |
Q56566206 | A practical ontology for the large-scale modeling of scholarly artifacts and their usage |
Q21143764 | A principal component analysis of 39 scientific impact measures |
Q56566198 | A ranking and exploration service based on large-scale usage data |
Q58575989 | A system to restructure hypertext networks into valid user models |
Q56566226 | An analysis of the bid behavior of the 2005 JCDL program committee |
Q56566229 | An architecture for the aggregation and analysis of scholarly usage data |
Q26822676 | An efficient system to fund science: from proposal review to peer-to-peer distributions |
Q57854941 | Archive Ingest and Handling Test |
Q55272246 | Author Correction: Human Sexual Cycles are Driven by Culture and Match Collective Moods. |
Q56566195 | Automatic metadata generation using associative networks |
Q33416799 | Clickstream data yields high-resolution maps of science |
Q56566245 | Co-authorship networks in the digital library research community |
Q36182402 | Collective Dynamics of Belief Evolution under Cognitive Coherence and Social Conformity |
Q28648295 | Computational Fact Checking from Knowledge Networks |
Q28650720 | Computational models of consumer confidence from large-scale online attention data: crowd-sourcing econometrics |
Q43197956 | Correction: Computational Fact Checking from Knowledge Networks |
Q100559464 | Depression alters the circadian pattern of online activity |
Q58627780 | Development of Digital Libraries – An American Perspective20038Edited by Deanna B. Marcus. Development of Digital Libraries – An American Perspective. Westport, CT: Greenwood Press 2001. 368 pp., ISBN: 0‐313‐31478‐0 £47 |
Q57854947 | Distributed, real-time computation of community preferences |
Q57854952 | Evaluation of the NSDL and Google for Obtaining Pedagogical Resources |
Q29463951 | From funding agencies to scientific agency |
Q39752531 | Happiness is assortative in online social networks |
Q34469537 | How the scientific community reacts to newly submitted preprints: article downloads, Twitter mentions, and citations |
Q47163432 | Human Sexual Cycles are Driven by Culture and Match Collective Moods |
Q56221800 | Journal status |
Q29031421 | MESUR |
Q56566212 | Mapping the bid behavior of conference referees |
Q96576806 | Mining Social Media Data for Biomedical Signals and Health-Related Behavior |
Q35060186 | More tweets, more votes: social media as a quantitative indicator of political behavior |
Q55281079 | Power structure in Chilean news media. |
Q79382088 | Quantifying perceived impact of scientific publications |
Q59411310 | Quantifying socio-economic indicators in developing countries from mobile phone communication data: applications to Côte d’Ivoire |
Q30831549 | Refining dermatology journal impact factors using PageRank |
Q123541969 | Reply to Sun: Making sense of language change |
Q42962540 | Response: "Why we still need grant peer review". |
Q79380739 | Rethinking resource allocation in science |
Q104105140 | Social-media insights into US mental health amid the COVID-19 global pandemic: a Longitudinal analysis of publicly available Twitter data (January 22- April 10, 2020) |
Q59612393 | The happiness paradox: your friends are happier than you |
Q56566223 | The largest scholarly semantic network...ever |
Q92739052 | The minute-scale dynamics of online emotions reveal the effects of affect labeling |
Q115170158 | The rise and fall of rationality in language |
Q56566263 | Toolkits for visualizing co-authorship graph |
Q56594606 | Toward alternative metrics of journal impact: A comparison of download and citation data |
Q47400355 | Towards usage-based impact metrics: first results from the mesur project |
Q57854956 | Trend Analysis of the Digital Library Community |
Q113915775 | Twitter Mood as a Stock Market Predictor |
Q43662959 | Twitter mood predicts the stock market |
Q57854899 | Usage derived recommendations for a video digital library |
Q56566203 | Usage impact factor: The effects of sample characteristics on usage-based impact metrics |
Q59080691 | Who would you share your funding with? |
Q3081489 | Francis Heylighen | doctoral student | P185 |
Egyptian Arabic (arz / Q29919) | جوهان بولين | wikipedia |
Catalan (ca / Q7026) | Johan Bollen | wikipedia |
Johan Bollen | wikipedia |
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