• DocumentCode
    168315
  • Title

    Topical establishment leveraging literature evolution

  • Author

    Han Xu ; Martin, Eric ; Mahidadia, Ashesh

  • Author_Institution
    UNSW Sydney, Sydney, NSW, Australia
  • fYear
    2014
  • fDate
    8-12 Sept. 2014
  • Firstpage
    249
  • Lastpage
    252
  • Abstract
    From an evolutionary perspective, a body of research is an evolving ecosystem, consisting of research topics subjected to a form of natural selection as topics come into existence, and thrive more or less over a variable period of time. Identifying the form of establishment of a given topic in a scientific domain, in terms of its momentum at the time of inquiry, can provide useful insights into where this topic is heading, and can facilitate e?ective literature research. Here we propose to identify three forms of establishment of topics, emerging from a comparison between two di?erent methodologies in ranking papers, taking advantage of the mutual relationship between recognition of papers and recognition of topics. More specifically, by analysing the correlation between the rankings obtained by applying both methodologies, we discover thee clusters of topics, each of which is associated with a particular momentum of establishment.
  • Keywords
    evolutionary computation; information analysis; research and development; evolutionary perspective; literature evolution; research topics; scientific domain; topic clusters; topical establishment; Analytical models; Correlation; Data models; Equations; Market research; Mathematical model; Semantics; PageRank; RALEX; Topical establishment; Topical ranking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Libraries (JCDL), 2014 IEEE/ACM Joint Conference on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/JCDL.2014.6970175
  • Filename
    6970175