Search (3 results, page 1 of 1)

  • × author_ss:"Morris, S.A."
  • × theme_ss:"Informetrie"
  • × year_i:[2000 TO 2010}
  1. Morris, S.A.; Goldstein, M.L.: Manifestation of research teams in journal literature : a growth model of papers, authors, collaboration, coauthorship, weak ties, and Lotka's law (2007) 0.01 
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    Abstract
    This article introduces a team-based model of researchers in a specialty and investigates the manifestation of such teams in a specialty's literature. The proposed qualitative behavioral model, with its mathematical expression as a growth model, is significant because it simultaneously describes the two phenomena of collaboration and author productivity (Lotka's law) in a specialty. The model is nested: A team process models the creation of research teams and the success-breeds-success process of their production of articles, while at a lower level the productivity of authors within teams is also modeled as a success-breeds-success process. Interteam collaboration (weak ties) is modeled as random events. This simple growth model is shown to faithfully mimic six network metrics of bipartite article-author networks. The model is demonstrated on three example article collections from specialties that have a wide range of degree of collaboration: (a) a distance education collection with low collaboration degree, (b) a complex networks collection with typical collaboration degree, and (c) an atrial ablation collection with heavy collaboration degree.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1764-1782
  2. Morris, S.A.; Yen, G.; Wu, Z.; Asnake, B.: Time line visualization of research fronts (2003) 0.00 
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    Abstract
    Research fronts, defined as clusters of documents that tend to cite a fixed, time invariant set of base documents, are plotted as time lines for visualization and exploration. Using a set of documents related to the subject of anthrax research, this article illustrates the construction, exploration, and interpretation of time lines for the purpose of identifying and visualizing temporal changes in research activity through journal articles. Such information is useful for presentation to meinbers of expert panels used for technology forecasting.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.413-422
  3. Morris, S.A.: Manifestation of emerging specialties in journal literature : a growth model of papers, references, exemplars, bibliographic coupling, cocitation, and clustering coefficient distribution (2005) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.12, S.1250-1273

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