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  • × author_ss:"Wolfram, D."
  1. Castanha, R.C.G.; Wolfram, D.: ¬The domain of knowledge organization : a bibliometric analysis of prolific authors and their intellectual space (2018) 0.06
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    Abstract
    The domain of knowledge organization (KO) represents a foundational area of information science. One way to better understand the intellectual structure of the KO domain is to apply bibliometric methods to key contributors to the literature. This study analyzes the most prolific contributing authors to the journal Knowledge Organization, the sources they cite and the citations they receive for the period 1993 to 2016. The analyses were conducted using visualization outcomes of citation, co-citation and author bibliographic coupling analysis to reveal theoretical points of reference among authors and the most prominent research themes that constitute this scientific community. Birger Hjørland was the most cited author, and was situated at or near the middle of each of the maps based on different citation relationships. The proximities between authors resulting from the different citation relationships demonstrate how authors situate themselves intellectually through the citations they give and how other authors situate them through the citations received. There is a consistent core of theoretical references as well among the most productive authors. We observed a close network of scholarly communication between the authors cited in this core, which indicates the actual role of the journal Knowledge Organization as a space for knowledge construction in the area of knowledge organization.
    Source
    Knowledge organization. 45(2018) no.1, S.13-22
  2. Dimitroff, A.; Wolfram, D.: Searcher response in a hypertext-based bibliographic information retrieval system (1995) 0.03
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    Abstract
    This article examines searcher behavior and affective response to a hypertext-based bibliographic information retrieval system called HyperLynx for searchers with different search skills and backgrounds. Search times and number of nodes visited were recorded for five specified search queries, and views of the system were recorded for each searcher. No significant differences were found in search times or user satisfaction with the system, indicating that a hypertext-based approach to bibliographic retrieval could be appropriate for a variety of searcher experience levels
    Source
    Journal of the American Society for Information Science. 46(1995) no.1, S.22-29
  3. Wolfram, D.: ¬The power to influence : an informetric analysis of the works of Hope Olson (2016) 0.02
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    Abstract
    This paper examines the influence of the works of Hope A. Olson by conducting an ego-centric informetric analysis of her published works. Publication and citation data were collected from Google Scholar and the Thomson Reuters Web of Science. Classic informetrics techniques were applied to the datasets including co-authorship analysis, citer analysis, citation and co-citation analysis and text-based analysis. Co-citation and text-based data were analyzed and visualized using VOSviewer and CiteSpace, respectively. The analysis of her citation identity reveals how Dr. Olson situates her own research within the knowledge landscape while the analysis of her citation image reveals how others have situated her work in relation to the authors with whom she has been co-cited. This reflection of Dr. Olson's research contributions reveals the influence of her scholarship not only on knowledge organization but other areas of library and information science and allied disciplines.
    Source
    Knowledge organization. 43(2016) no.5, S.331-337
  4. Wolfram, D.; Zhang, J.: ¬An investigation of the influence of indexing exhaustivity and term distributions on a document space (2002) 0.02
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    Abstract
    Wolfram and Zhang are interested in the effect of different indexing exhaustivity, by which they mean the number of terms chosen, and of different index term distributions and different term weighting methods on the resulting document cluster organization. The Distance Angle Retrieval Environment, DARE, which provides a two dimensional display of retrieved documents was used to represent the document clusters based upon a document's distance from the searcher's main interest, and on the angle formed by the document, a point representing a minor interest, and the point representing the main interest. If the centroid and the origin of the document space are assigned as major and minor points the average distance between documents and the centroid can be measured providing an indication of cluster organization. in the form of a size normalized similarity measure. Using 500 records from NTIS and nine models created by intersecting low, observed, and high exhaustivity levels (based upon a negative binomial distribution) with shallow, observed, and steep term distributions (based upon a Zipf distribution) simulation runs were preformed using inverse document frequency, inter-document term frequency, and inverse document frequency based upon both inter and intra-document frequencies. Low exhaustivity and shallow distributions result in a more dense document space and less effective retrieval. High exhaustivity and steeper distributions result in a more diffuse space.
    Source
    Journal of the American Society for Information Science and Technology. 53(2002) no.11, S.944-952
  5. Ajiferuke, I.; Lu, K.; Wolfram, D.: ¬A comparison of citer and citation-based measure outcomes for multiple disciplines (2010) 0.02
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    Date
    28. 9.2010 12:54:22
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.2086-2096
  6. Wolfram, D.: Applied informetrics for information retrieval research (2003) 0.01
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    Abstract
    The author demonstrates how informetric analysis of information retrieval system content and use provides valuable insights that have applications for the modelling, design, and evaluation of information retrieval systems.
  7. 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"
  8. Minitroff, A.; Wolfram, D.: Design issues in a hypertext-based information system for bibliographic retrieval (1993) 0.01
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    Imprint
    Medford, NJ : Learned Information
    Source
    Integrating technologies - converging professions: proceedings of the 56th Annual Meeting of the American Society for Information Science, Columbus, OH, 24-28 October 1993. Ed.: S. Bonzi
  9. Wittig, C.; Wolfram, D.: ¬A survey of networking education in North American library schools (1994) 0.01
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    Abstract
    Reports results of a survey of US library schools to investigate the adoption, impact, and role of networking concepts and resources, such as the Internet, in the library and information science curriculum. Findings indicate that, to a large degree, educators have kept up with recent trends and tools in networking in a variety of courses. There was overwhelming consensus on the importance of networked information resources and access tools but less agreement on their places in the library and information science curriculum
  10. Wolfram, D.; Dimitroff, A.: Hypertext vs. Boolean-based searching in a bibliographic database environment : a direct comparison of searcher performance (1998) 0.01
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    Source
    Information processing and management. 34(1998) no.6, S.669-679
  11. Wolfram, D.; Spink, A.; Jansen, B.J.; Saracevic, T.: Vox populi : the public searching of the Web (2001) 0.01
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.12, S.1073-1074
  12. Lu, K.; Cai, X.; Ajiferuke, I.; Wolfram, D.: Vocabulary size and its effect on topic representation (2017) 0.00
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    Abstract
    This study investigates how computational overhead for topic model training may be reduced by selectively removing terms from the vocabulary of text corpora being modeled. We compare the impact of removing singly occurring terms, the top 0.5%, 1% and 5% most frequently occurring terms and both top 0.5% most frequent and singly occurring terms, along with changes in the number of topics modeled (10, 20, 30, 40, 50, 100) using three datasets. Four outcome measures are compared. The removal of singly occurring terms has little impact on outcomes for all of the measures tested. Document discriminative capacity, as measured by the document space density, is reduced by the removal of frequently occurring terms, but increases with higher numbers of topics. Vocabulary size does not greatly influence entropy, but entropy is affected by the number of topics. Finally, topic similarity, as measured by pairwise topic similarity and Jensen-Shannon divergence, decreases with the removal of frequent terms. The findings have implications for information science research in information retrieval and informetrics that makes use of topic modeling.
    Source
    Information processing and management. 53(2017) no.3, S.653-665
  13. Wolfram, D.; Volz, A.; Dimitroff, A.: ¬The effect of linkage structure on retrieval performance in a hypertext-based bibliographic retrieval system (1996) 0.00
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    Abstract
    Investigates how linkage environments in a hypertext based bibliographic retrieval system affect retrieval performance for novice and experienced searchers, 2 systems, 1 with inter record linkages to authors and descriptors and 1 that also included title and abstract keywords, were tested. No significant differences in retrieval performance and system usage were found for most search tests. The enhanced system did provide better performance where title and abstract keywords provided the most direct access to relevant records. The findings have implications for the design of bilbiographic information retrieval systems using hypertext linkages
    Source
    Information processing and management. 32(1996) no.5, S.529-541
  14. Wolfram, D.; Dimitroff, A.: Preliminary findings on searcher performance and perceptions of performance in a hypertext bibliographic retrieval system (1997) 0.00
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    Abstract
    Reports on research examining the relationship of searcher performance and perception of performance, particulary for hypertext-based onformation retrieval systems for bibliographic data. Employs a prototype hypertext bibliographic retrieval system called HyperLynx. Evaluates its use by 83 subjects at the School of Library and Information Science and the Golda Meir Library at the University of Wisconsin-Milwaukee, USA. Measures of system usgae indicate that there is no significant relationship between confidence and the number of record pages visited, although confident searchers searched for shorter time periods. The reality check measures shows that both novice and experienced searchers were over confident in their performance
    Source
    Journal of the American Society for Information Science. 48(1997) no.12, S.1142-1145
  15. Wolfram, D.: Search characteristics in different types of Web-based IR environments : are they the same? (2008) 0.00
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    Abstract
    Transaction logs from four different Web-based information retrieval environments (bibliographic databank, OPAC, search engine, specialized search system) were analyzed for empirical regularities in search characteristics to determine whether users engage in different behaviors in different Web-based search environments. Descriptive statistics and relative frequency distributions related to term usage, query formulation, and session duration were tabulated. The analysis revealed that there are differences in these characteristics. Users were more likely to engage in extensive searching using the OPAC and specialized search system. Surprisingly, the bibliographic databank search environment resulted in the most parsimonious searching, more similar to a general search engine. Although on the surface Web-based search facilities may appear similar, users do engage in different search behaviors.
    Source
    Information processing and management. 44(2008) no.3, S.1279-1292
  16. Zhang, J.; Wolfram, D.; Wang, P.: Analysis of query keywords of sports-related queries using visualization and clustering (2009) 0.00
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    Abstract
    The authors investigated 11 sports-related query keywords extracted from a public search engine query log to better understand sports-related information seeking on the Internet. After the query log contents were cleaned and query data were parsed, popular sports-related keywords were identified, along with frequently co-occurring query terms associated with the identified keywords. Relationships among each sports-related focus keyword and its related keywords were characterized and grouped using multidimensional scaling (MDS) in combination with traditional hierarchical clustering methods. The two approaches were synthesized in a visual context by highlighting the results of the hierarchical clustering analysis in the visual MDS configuration. Important events, people, subjects, merchandise, and so on related to a sport were illustrated, and relationships among the sports were analyzed. A small-scale comparative study of sports searches with and without term assistance was conducted. Searches that used search term assistance by relying on previous query term relationships outperformed the searches without the search term assistance. The findings of this study provide insights into sports information seeking behavior on the Internet. The developed method also may be applied to other query log subject areas.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.8, S.1550-1571
  17. Wang, F.; Wolfram, D.: Assessment of journal similarity based on citing discipline analysis (2015) 0.00
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    Abstract
    This study compares the range of disciplines of citing journal articles to determine how closely related journals assigned to the same Web of Science research area are. The frequency distribution of disciplines by citing articles provides a signature for a cited journal that permits it to be compared with other journals using similarity comparison techniques. As an initial exploration, citing discipline data for 40 high-impact-factor journals assigned to the "information science and library science" category of the Web of Science were compared across 5 time periods. Similarity relationships were determined using multidimensional scaling and hierarchical cluster analysis to compare the outcomes produced by the proposed citing discipline and established cocitation methods. The maps and clustering outcomes reveal that a number of journals in allied areas of the information science and library science category may not be very closely related to each other or may not be appropriately situated in the category studied. The citing discipline similarity data resulted in similar outcomes with the cocitation data but with some notable differences. Because the citing discipline method relies on a citing perspective different from cocitations, it may provide a complementary way to compare journal similarity that is less labor intensive than cocitation analysis.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.6, S.1189-1198
  18. Dimitroff, A.; Wolfram, D.; Volz, A.: Affective response and retrieval performance : analysis of contributing factors (1996) 0.00
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    Abstract
    Describes a study which investigated the affective response of 83 subjects to 2 versions of a hypertext-based bibliographic retrieval system. The objective of the study was to determine if subjects preferred searching a hypertext information retrieval (IR) system via traditional bibliographic links or via an enhanced set of linkages between structured records. The study also examined the utility of using factor analysis to explore subjects' affective responses to searching the 2 hypertext-based IR systems; explored the effect of experience on search outcome; and compared the effect of different types of linkages within the hypertext system. Findings reveal a complex relationship between system and user that is sometimes contradictory. Searchers found the systems to be usable or unusable in different ways indicating that further researchg is needed to isolate to specific features that searchers find frustrating or not in searching structured records via a hypertext-based IR system
    Source
    Library and information science research. 18(1996) no.2, S.121-132
  19. Wolfram, D.; Zhang, J.: ¬The influence of indexing practices and weighting algorithms on document spaces (2008) 0.00
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    Abstract
    Index modeling and computer simulation techniques are used to examine the influence of indexing frequency distributions, indexing exhaustivity distributions, and three weighting methods on hypothetical document spaces in a vector-based information retrieval (IR) system. The way documents are indexed plays an important role in retrieval. The authors demonstrate the influence of different indexing characteristics on document space density (DSD) changes and document space discriminative capacity for IR. Document environments that contain a relatively higher percentage of infrequently occurring terms provide lower density outcomes than do environments where a higher percentage of frequently occurring terms exists. Different indexing exhaustivity levels, however, have little influence on the document space densities. A weighting algorithm that favors higher weights for infrequently occurring terms results in the lowest overall document space densities, which allows documents to be more readily differentiated from one another. This in turn can positively influence IR. The authors also discuss the influence on outcomes using two methods of normalization of term weights (i.e., means and ranges) for the different weighting methods.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.1, S.3-11
  20. Wolfram, D.; Wang, P.; Zhang, J.: Identifying Web search session patterns using cluster analysis : a comparison of three search environments (2009) 0.00
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    Abstract
    Session characteristics taken from large transaction logs of three Web search environments (academic Web site, public search engine, consumer health information portal) were modeled using cluster analysis to determine if coherent session groups emerged for each environment and whether the types of session groups are similar across the three environments. The analysis revealed three distinct clusters of session behaviors common to each environment: hit and run sessions on focused topics, relatively brief sessions on popular topics, and sustained sessions using obscure terms with greater query modification. The findings also revealed shifts in session characteristics over time for one of the datasets, away from hit and run sessions toward more popular search topics. A better understanding of session characteristics can help system designers to develop more responsive systems to support search features that cater to identifiable groups of searchers based on their search behaviors. For example, the system may identify struggling searchers based on session behaviors that match those identified in the current study to provide context sensitive help.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.5, S.896-910