Search (549 results, page 1 of 28)

  • × theme_ss:"Informetrie"
  • × year_i:[2010 TO 2020}
  1. Mayr, P.: Information Retrieval-Mehrwertdienste für Digitale Bibliotheken: : Crosskonkordanzen und Bradfordizing (2010) 0.04 
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    RSWK
    Dokumentationssprache / Heterogenität / Information Retrieval / Ranking / Evaluation
    Subject
    Dokumentationssprache / Heterogenität / Information Retrieval / Ranking / Evaluation
  2. Tuomaala, O.; Järvelin, K.; Vakkari, P.: Evolution of library and information science, 1965-2005 : content analysis of journal articles (2014) 0.01 
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    Abstract
    This article first analyzes library and information science (LIS) research articles published in core LIS journals in 2005. It also examines the development of LIS from 1965 to 2005 in light of comparable data sets for 1965, 1985, and 2005. In both cases, the authors report (a) how the research articles are distributed by topic and (b) what approaches, research strategies, and methods were applied in the articles. In 2005, the largest research areas in LIS by this measure were information storage and retrieval, scientific communication, library and information-service activities, and information seeking. The same research areas constituted the quantitative core of LIS in the previous years since 1965. Information retrieval has been the most popular area of research over the years. The proportion of research on library and information-service activities decreased after 1985, but the popularity of information seeking and of scientific communication grew during the period studied. The viewpoint of research has shifted from library and information organizations to end users and development of systems for the latter. The proportion of empirical research strategies was high and rose over time, with the survey method being the single most important method. However, attention to evaluation and experiments increased considerably after 1985. Conceptual research strategies and system analysis, description, and design were quite popular, but declining. The most significant changes from 1965 to 2005 are the decreasing interest in library and information-service activities and the growth of research into information seeking and scientific communication.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.7, S.1446-1462
  3. Karlsson, A.; Hammarfelt, B.; Steinhauer, H.J.; Falkman, G.; Olson, N.; Nelhans, G.; Nolin, J.: Modeling uncertainty in bibliometrics and information retrieval : an information fusion approach (2015) 0.01 
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    Footnote
    Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
  4. Lewandowski, D.; Haustein, S.: What does the German-language information science community cite? (2015) 0.01 
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    Source
    Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff
  5. Mayr, P.; Scharnhorst, A.: Scientometrics and information retrieval - weak-links revitalized (2015) 0.01 
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    Footnote
    Editorial zu einem Special Issue "Combining bibliometrics and information retrieval"
  6. Wolfram, D.: ¬The symbiotic relationship between information retrieval and informetrics (2015) 0.01 
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    Footnote
    Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
  7. Glänzel, W.: Bibliometrics-aided retrieval - where information retrieval meets scientometrics (2015) 0.01 
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    Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
  8. Abbasi, M. K.; Frommholz, I.: Cluster-based polyrepresentation as science modelling approach for information retrieval (2015) 0.01 
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    Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
  9. Kurtz, M.; Bollen, J.: Usage bibliometrics (2010) 0.00 
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    Source
    Annual review of information science and technology. 44(2010), S.xxx-xxx
  10. Mutschke, P.; Mayr, P.: Science models for search : a study on combining scholarly information retrieval and scientometrics (2015) 0.00 
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    Footnote
    Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
  11. Bornmann, L.: Nature's top 100 revisited (2015) 0.00 
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    Content
    Bezug: Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2714. Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23554/abstract.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.10, S.2166
  12. Martín-Martín, A.; Ayllón, J.M.; López-Cózar, E.D.; Orduna-Malea, E.: Nature's top 100 Re-revisited (2015) 0.00 
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    Content
    Bezug: Journal of the Association for Information Science and Technology. 66(2015) no.10, S.2166. Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23570/abstract.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2714
  13. Haustein, S.: Scientific interactions and research evaluation : from bibliometrics to Altmetrics (2015) 0.00 
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    Source
    Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff
  14. Rousseau, S.; Rousseau, R.: Metric-wiseness (2015) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2389
  15. Robinson, L.; Maguire, M.: ¬The rhizome and the tree : changing metaphors for information organisation (2010) 0.00 
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    Abstract
    Purpose - The paper aims to review Deleuze and Guttari's concept of the rhizome as a model for information organisation. Design/methodology/approach - This is a critical review of selected literature. Findings - The rhizome concept is a promising model for understanding hyperlinked information services. It may be of practical value, particularly if it can be integrated with more traditional forms of information organisation. More research, conceptual and practical, is needed before this can be achieved. Research limitations/implications - The literature review is not comprehensive, and the conclusions are open-ended. Originality/value - This is the only paper to review the rhizome concept in this way.
  16. Milojevic, S.: Power law distributions in information science : making the case for logarithmic binning (2010) 0.00 
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    Abstract
    We suggest partial logarithmic binning as the method of choice for uncovering the nature of many distributions encountered in information science (IS). Logarithmic binning retrieves information and trends "not visible" in noisy power law tails. We also argue that obtaining the exponent from logarithmically binned data using a simple least square method is in some cases warranted in addition to methods such as the maximum likelihood. We also show why often-used cumulative distributions can make it difficult to distinguish noise from genuine features and to obtain an accurate power law exponent of the underlying distribution. The treatment is nontechnical, aimed at IS researchers with little or no background in mathematics.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2417-2425
  17. Nicolaisen, J.; Frandsen, T.F.: Bibliometric evolution : is the journal of the association for information science and technology transforming into a specialty Journal? (2015) 0.00 
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    Abstract
    Applying a recently developed method for measuring the level of specialization over time for a selection of library and information science (LIS)-core journals seems to reveal that Journal of the Association for Information Science and Technology (JASIST) is slowly transforming into a specialty journal. The transformation seems to originate from a growing interest in bibliometric topics. This is evident from a longitudinal study (1990-2012) of the bibliometric coupling strength between Scientometrics and other LIS-core journals (including JASIST). The cause of this gradual transformation is discussed, and possible explanations are analyzed.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.5, S.1082-1085
  18. Sugimoto, C.R.; Li, D.; Russell, T.G.; Finlay, S.C.; Ding, Y.: ¬The shifting sands of disciplinary development : analyzing North American Library and Information Science dissertations using latent Dirichlet allocation (2011) 0.00 
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    Abstract
    This work identifies changes in dominant topics in library and information science (LIS) over time, by analyzing the 3,121 doctoral dissertations completed between 1930 and 2009 at North American Library and Information Science programs. The authors utilize latent Dirichlet allocation (LDA) to identify latent topics diachronically and to identify representative dissertations of those topics. The findings indicate that the main topics in LIS have changed substantially from those in the initial period (1930-1969) to the present (2000-2009). However, some themes occurred in multiple periods, representing core areas of the field: library history occurred in the first two periods; citation analysis in the second and third periods; and information-seeking behavior in the fourth and last period. Two topics occurred in three of the five periods: information retrieval and information use. One of the notable changes in the topics was the diminishing use of the word library (and related terms). This has implications for the provision of doctoral education in LIS. This work is compared to other earlier analyses and provides validation for the use of LDA in topic analysis of a discipline.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.185-204
  19. Milojevic, S.; Sugimoto, C.R.; Yan, E.; Ding, Y.: ¬The cognitive structure of Library and Information Science : analysis of article title words (2011) 0.00 
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    Abstract
    This study comprises a suite of analyses of words in article titles in order to reveal the cognitive structure of Library and Information Science (LIS). The use of title words to elucidate the cognitive structure of LIS has been relatively neglected. The present study addresses this gap by performing (a) co-word analysis and hierarchical clustering, (b) multidimensional scaling, and (c) determination of trends in usage of terms. The study is based on 10,344 articles published between 1988 and 2007 in 16 LIS journals. Methodologically, novel aspects of this study are: (a) its large scale, (b) removal of non-specific title words based on the "word concentration" measure (c) identification of the most frequent terms that include both single words and phrases, and (d) presentation of the relative frequencies of terms using "heatmaps". Conceptually, our analysis reveals that LIS consists of three main branches: the traditionally recognized library-related and information-related branches, plus an equally distinct bibliometrics/scientometrics branch. The three branches focus on: libraries, information, and science, respectively. In addition, our study identifies substructures within each branch. We also tentatively identify "information seeking behavior" as a branch that is establishing itself separate from the three main branches. Furthermore, we find that cognitive concepts in LIS evolve continuously, with no stasis since 1992. The most rapid development occurred between 1998 and 2001, influenced by the increased focus on the Internet. The change in the cognitive landscape is found to be driven by the emergence of new information technologies, and the retirement of old ones.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.10, S.1933-1953
  20. He, B.; Ding, Y.; Ni, C.: Mining enriched contextual information of scientific collaboration : a meso perspective (2011) 0.00 
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    Abstract
    Studying scientific collaboration using coauthorship networks has attracted much attention in recent years. How and in what context two authors collaborate remain among the major questions. Previous studies, however, have focused on either exploring the global topology of coauthorship networks (macro perspective) or ranking the impact of individual authors (micro perspective). Neither of them has provided information on the context of the collaboration between two specific authors, which may potentially imply rich socioeconomic, disciplinary, and institutional information on collaboration. Different from the macro perspective and micro perspective, this article proposes a novel method (meso perspective) to analyze scientific collaboration, in which a contextual subgraph is extracted as the unit of analysis. A contextual subgraph is defined as a small subgraph of a large-scale coauthorship network that captures relationship and context between two coauthors. This method is applied to the field of library and information science. Topological properties of all the subgraphs in four time spans are investigated, including size, average degree, clustering coefficient, and network centralization. Results show that contextual subgprahs capture useful contextual information on two authors' collaboration.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.5, S.831-845

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