Scienceography: The study of how science is written

Graham Cormode, Shanmugavelayutham Muthukrishnan, Jinyun Yan

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Scientific literature has itself been the subject of much scientific study, for a variety of reasons: understanding how results are communicated, how ideas spread, and assessing the influence of areas or individuals. However, most prior work has focused on extracting and analyzing citation and stylistic patterns. In this work, we introduce the notion of 'scienceography', which focuses on the writing of science. We provide a first large scale study using data derived from the arXiv e-print repository. Crucially, our data includes the "source code" of scientific papers-the LATEX source-which enables us to study features not present in the "final product", such as the tools used and private comments between authors. Our study identifies broad patterns and trends in two example areas-computer science and mathematics-as well as highlighting key differences in the way that science is written in these fields. Finally, we outline future directions to extend the new topic of scienceography.

    Original languageEnglish (US)
    Title of host publicationFun with Algorithms - 6th International Conference, FUN 2012, Proceedings
    Pages379-391
    Number of pages13
    DOIs
    StatePublished - Jun 13 2012
    Event6th International Conference on Fun with Algorithms, FUN 2012 - Venice, Italy
    Duration: Jun 4 2012Jun 6 2012

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7288 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference6th International Conference on Fun with Algorithms, FUN 2012
    CountryItaly
    CityVenice
    Period6/4/126/6/12

    Fingerprint

    Computer science
    Citations
    Repository
    Computer Science
    Influence
    Trends

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    Cite this

    Cormode, G., Muthukrishnan, S., & Yan, J. (2012). Scienceography: The study of how science is written. In Fun with Algorithms - 6th International Conference, FUN 2012, Proceedings (pp. 379-391). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7288 LNCS). https://doi.org/10.1007/978-3-642-30347-0_37

    Scienceography : The study of how science is written. / Cormode, Graham; Muthukrishnan, Shanmugavelayutham; Yan, Jinyun.

    Fun with Algorithms - 6th International Conference, FUN 2012, Proceedings. 2012. p. 379-391 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7288 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Cormode, G, Muthukrishnan, S & Yan, J 2012, Scienceography: The study of how science is written. in Fun with Algorithms - 6th International Conference, FUN 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7288 LNCS, pp. 379-391, 6th International Conference on Fun with Algorithms, FUN 2012, Venice, Italy, 6/4/12. https://doi.org/10.1007/978-3-642-30347-0_37
    Cormode G, Muthukrishnan S, Yan J. Scienceography: The study of how science is written. In Fun with Algorithms - 6th International Conference, FUN 2012, Proceedings. 2012. p. 379-391. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-30347-0_37
    Cormode, Graham ; Muthukrishnan, Shanmugavelayutham ; Yan, Jinyun. / Scienceography : The study of how science is written. Fun with Algorithms - 6th International Conference, FUN 2012, Proceedings. 2012. pp. 379-391 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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