Literatur zur Informationserschließung

Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.

© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)

Suchergebnisse

• 1
  Lucio-Arias, D. ; Leydesdorff, L.: Main-path analysis and path-dependent transitions in HistCite(TM)-based historiograms.
  In: Journal of the American Society for Information Science and Technology. 59(2008) no.12, S.1948-1962.
  
  Abstract: With the program HistCite(TM) it is possible to generate and visualize the most relevant papers in a set of documents retrieved from the Science Citation Index. Historical reconstructions of scientific developments can be represented chronologically as developments in networks of citation relations extracted from scientific literature. This study aims to go beyond the historical reconstruction of scientific knowledge, enriching the output of HistCiteTM with algorithms from social-network analysis and information theory. Using main-path analysis, it is possible to highlight the structural backbone in the development of a scientific field. The expected information value of the message can be used to indicate whether change in the distribution (of citations) has occurred to such an extent that a path-dependency is generated. This provides us with a measure of evolutionary change between subsequent documents. The forgetting and rewriting of historically prior events at the research front can thus be indicated. These three methods - HistCite, main path and path dependent transitions - are applied to a set of documents related to fullerenes and the fullerene-like structures known as nanotubes.
  
  Themenfeld: Informetrie
  Objekt: HistCite
  
  
• 2
  Garfield, E. ; Paris, S.W. ; Stock, W.G.: HistCite(TM) : a software tool for informetric analysis of citation linkage.
  In: Information - Wissenschaft und Praxis. 57(2006) H.8, S.391-400.
  
  Abstract: HistCite(TM) is a software tool for analyzing and visualizing direct citation linkages between scientific papers. Its inputs are bibliographic records (with cited references) from "Web of Knowledge" or other sources. Its outputs are various tables and graphs with informetric indicators about the knowledge domain under study. As an example we analyze informetrically the literature about Alexius Meinong, an Austrian philosopher and psychologist. The article shortly discusses the informetric functionality of "Web of Knowledge" and shows broadly the possibilities that HistCite offers to its users (e.g. scientists, scientometricans and science journalists).
  
  Themenfeld: Informetrie
  Objekt: HistCite
  
  
• 3
  Garfield, E. ; Pudovkin, A.I. ; Istomin, V.S.: Why do we need algorithmic historiography?.
  In: Journal of the American Society for Information Science and technology. 54(2003) no.5, S.400-412.
  
  Abstract: This article discusses the rationale for creating historiographs of scholarly topics using a new program called HistCite(TM), which produces a variety of analyses to aid the historian identify key events (papers), people (authors), and journals in a field. By creating a genealogic profile of the evolution, the program aids the scholar in evaluating the paradigm involved.
  
  Anmerkung: Beitrag innerhalb eines Themenschwerpunkt: Visualizing scientific paradigms
  
  Themenfeld: Informetrie ; Citation indexing
  Objekt: HistCite