[Sigmetrics] Topic extraction challenge
andrea.scharnhorst at dans.knaw.nl
Tue Mar 14 03:35:07 EDT 2017
Please take apologies for cross-posting
You might be interested to learn that Clarivate Analytics has agreed to make available a Web of Science data set (111,616 articles in Astrophysics and Astronomy, "Astro Data Set") which allows us to invite everybody interested to participate in a topic extraction challenge so we can collectively study and learn from the systematic comparison of topic extraction approaches. For details about the challenge and how to access the data see: www.topic-challenge.info<http://www.topic-challenge.info>.
The activity of exploring differences between topic extraction approaches originated from discussions at the annual advisory board meeting of a project on measuring the epistemic diversity of research by Frank Havemann, Michael Heinz and Jochen Gläser in Berlin, Germany, and is documented in a special issue "Same Data, Different Results?" of the journal Scientometrics (see list of forthcoming articles below).
We would like to invite you and your colleagues to participate in the topic extraction challenge, and would appreciate your support in spreading the news. A first opportunity to discuss new topic extraction solutions and the challenge of comparing approaches will be provided this October at a special session at the 2017 ISSI conference in Wuhan, China (http://www.issi2017.org). Submission deadline for research in progress papers is April 10. You are welcome to forward this invitation to others who may have an interest in topic extraction from the Astro Data Set. Please send questions to theresa.velden at gmail.com<mailto:theresa.velden at gmail.com>.
With kind regards,
(& the other "challengers": Kevin Boyack, Wolfgang Glänzel, Jochen Gläser, Frank Havemann, Andrea Scharnhorst, Bart Thijs, Nees Jan van Eck, Ludo Waltman)
List of forthcoming Scientometrics articles on topic extraction from the Astro Data Set:
Gläser J, Scharnhorst A & Glänzel, W (eds). Introduction: Same data – different results? Towards a comparative approach to the identification of thematic structures in science. DOI: 10.1007/s11192-017-2296-z
Boyack K. Investigating the Effect of Global Data on Topic Detection. DOI: 10.1007/s11192-017-2297-y
Wang, S. & Koopman, R. Clustering articles based on semantic similarity. DOI:10.1007/s11192-017-2298-x
Velden T, Yan S & Lagoze C. Mapping the Cognitive Structure of Astrophysics by Infomap Clustering of the Citation Network and Topic Affinity Analysis. DOI: 10.1007/s11192-017-2299-9
Van Eck, NJ & Waltman, L. Citation-Based Clustering of Publications Using CitNetExplorer and VOSviewer DOI: 10.1007/s11192-017-2300-7
Glänzel, W & Thijs B. Using Hybrid Methods and `Core Documents' for the Representation of Clusters and Topics. The Astronomy Dataset DOI: 10.1007/s11192-017-2301-6
Havemann F, Gläser J & Heinz M. Memetic Search for Overlapping Topics Based on a Local Evaluation of Link Communities DOI: 10.1007/s11192-017-2302-5
Koopman R, Wang S & Scharnhorst A. Contextualization of Topics: Browsing through the Universe of Bibliographic Information DOI: 10.1007/s11192-017-2303-4
Boyack, K. Thesaurus-Based Methods for Mapping Contents of Publication Sets DOI: 10.1007/s11192-017-2304-3
Koopman R & Wang S. Mutual Information Based Labelling and Comparing Clusters DOI: 10.1007/s11192-017-2305-2
Velden T, Boyack K, Glaser J, Koopman R, Scharnhorst A & Wang S. Comparison of Topic Extraction Approaches and Their Results DOI: 10.1007/s11192-017-2299-9 DOI: 10.1007/s11192-017-2306-1
Theresa Velden, PhD
IPODI/Marie Curie Fellow
Zentrum für Technik und Gesellschaft
Technische Universität Berlin
velden at ztg.tu-berlin.de<mailto:velden at ztg.tu-berlin.de>| tav6 at cornell.edu<mailto:tav6 at cornell.edu> | theresa.velden at gmail.com<mailto:theresa.velden at gmail.com>
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