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  • × author_ss:"Chang, Y.-W."
  • × year_i:[2010 TO 2020}
  1. Chang, Y.-W.; Huang, M.-H.: ¬A study of the evolution of interdisciplinarity in library and information science : using three bibliometric methods (2012) 0.02
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    Abstract
    This study uses three bibliometric methods: direct citation, bibliographic coupling, and co-authorship analysis, to investigate interdisciplinary changes in library and information science (LIS) from 1978 to 2007. The results reveal that LIS researchers most frequently cite publications in their own discipline. In addition, half of all co-authors of LIS articles are affiliated with LIS-related institutes. The results confirm that the degree of interdisciplinarity within LIS has increased, particularly co-authorship. However, the study found sources of direct citations in LIS articles are widely distributed across 30 disciplines, but co-authors of LIS articles are distributed across only 25 disciplines. The degree of interdisciplinarity was found ranging from 0.61 to 0.82 with citation to references in all articles being the highest and that of co-authorship being the lowest. Percentages of contribution attributable to LIS show a decreasing tendency based on the results of direct citation and co-authorship analysis, but an increasing tendency based on those of bibliographic coupling analysis. Such differences indicate each of the three bibliometric methods has its strength and provides insights respectively for viewing various aspects of interdisciplinarity, suggesting the use of no single bibliometric method can reveal all aspects of interdisciplinarity due to its multifaceted nature.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.1, S.22-33
    Type
    a
  2. Chang, Y.-W.: ¬The influence of Taylor's paper, Question-Negotiation and Information-Seeking in Libraries (2013) 0.01
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    Abstract
    This study uses bibliometric analysis and citation context analysis to identify the influence of the main concepts embedded in Taylor's 1968 classic article entitled Question-Negotiation and Information-Seeking in Libraries. This study analyses articles published between 1969 and 2010 which cite Taylor's article. The results show that Taylor's article on a question-negotiation model is increasingly visible and its influence is not limited to the discipline of library and information science. Of the 14 cited concepts identified, the concept of "four levels of information needs" was cited most (31.7%), followed by "question negotiation" (20.5%) and "other concepts relating to information needs" (17.9%). The results indicate an increasing trend in the citations of "four levels of information needs" and this concept also received the most attention from information retrieval research. A decreasing trend was evident for the concept of "question negotiation" and this concept was frequently cited by reference service researchers. In addition, among the 10 citation functions, "related literature" was dominant (30.8%). Both "evidence" and "views" were in second place with the same percentage (18.7%), followed by "terms" (9.2%) and "background information" (7.2%). A decreasing trend was identified in the top three citation functions, whereas an increasing trend was observed in the "term" and "background information" functions.
    Footnote
    Bezugnahme auf: Taylor, R.S.: Question negotiation and information seeking in libraries. In: College and research libraries. 29(1968) no.3, S.178-194.
    Source
    Information processing and management. 49(2013) no.5, S.983-994
    Type
    a
  3. Chang, Y.-W.: Influence of human behavior and the principle of least effort on library and information science research (2016) 0.01
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    Abstract
    General graph random walk has been successfully applied in multi-document summarization, but it has some limitations to process documents by this way. In this paper, we propose a novel hypergraph based vertex-reinforced random walk framework for multi-document summarization. The framework first exploits the Hierarchical Dirichlet Process (HDP) topic model to learn a word-topic probability distribution in sentences. Then the hypergraph is used to capture both cluster relationship based on the word-topic probability distribution and pairwise similarity among sentences. Finally, a time-variant random walk algorithm for hypergraphs is developed to rank sentences which ensures sentence diversity by vertex-reinforcement in summaries. Experimental results on the public available dataset demonstrate the effectiveness of our framework.
    Source
    Information processing and management. 52(2016) no.4, S.658-669
    Type
    a