-
Burrell, Q.L.: "Type/Token-Taken" informetrics : Some comments and further examples (2003)
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- Abstract
- Egghe has propounded the notion of Type/Token-Taken (T/TT) informetrics. In this note we show how his ideas relate to ones that are already well known in informetrics and resolve some of the specific problems posed.
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.13, S.1260-1263
-
Egghe, L.: Expansion of the field of informetrics : the second special issue (2006)
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- Footnote
- Einführung in ein "Special Issue on Informetrics"
-
Egghe, L.: Type/Token-Taken informetrics (2003)
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- Abstract
- Type/Token-Taken informetrics is a new part of informetrics that studies the use of items rather than the items itself. Here, items are the objects that are produced by the sources (e.g., journals producing articles, authors producing papers, etc.). In linguistics a source is also called a type (e.g., a word), and an item a token (e.g., the use of words in texts). In informetrics, types that occur often, for example, in a database will also be requested often, for example, in information retrieval. The relative use of these occurrences will be higher than their relative occurrences itself; hence, the name Type/ Token-Taken informetrics. This article studies the frequency distribution of Type/Token-Taken informetrics, starting from the one of Type/Token informetrics (i.e., source-item relationships). We are also studying the average number my* of item uses in Type/Token-Taken informetrics and compare this with the classical average number my in Type/Token informetrics. We show that my* >= my always, and that my* is an increasing function of my. A method is presented to actually calculate my* from my, and a given a, which is the exponent in Lotka's frequency distribution of Type/Token informetrics. We leave open the problem of developing non-Lotkaian Type/TokenTaken informetrics.
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.7, S.603-610
-
Pillai, C.V.R.; Girijakumari, S.: Widening horizons of informetrics (1996)
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- Abstract
- Traces the origin and development of informetrics in the field of library and information science. 'Informatrics' is seen as a generic term to denote studies in which quantitative methods are applied. Discusses various applications of informetrics including citation analysis; impact factor; absolescence and ageing studies; bibliographic coupling; co-citation; and measurement of information such as retrieval performance assessment. Outlines recent developments in informetrics and calls for attention to be paid to the quality of future research in the field to ensure its reliability
-
Egghe, L.; Rousseau, R.: Averaging and globalising quotients of informetric and scientometric data (1996)
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- Abstract
- It is possible, using ISI's Journal Citation Report (JCR), to calculate average impact factors (AIF) for LCR's subject categories but it can be more useful to know the global Impact Factor (GIF) of a subject category and compare the 2 values. Reports results of a study to compare the relationships between AIFs and GIFs of subjects, based on the particular case of the average impact factor of a subfield versus the impact factor of this subfield as a whole, the difference being studied between an average of quotients, denoted as AQ, and a global average, obtained as a quotient of averages, and denoted as GQ. In the case of impact factors, AQ becomes the average impact factor of a field, and GQ becomes its global impact factor. Discusses a number of applications of this technique in the context of informetrics and scientometrics
- Source
- Journal of information science. 22(1996) no.3, S.165-170
-
Mingers, J.; Burrell, Q.L.: Modeling citation behavior in Management Science journals (2006)
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- Abstract
- Citation rates are becoming increasingly important in judging the research quality of journals, institutions and departments, and individual faculty. This paper looks at the pattern of citations across different management science journals and over time. A stochastic model is proposed which views the generating mechanism of citations as a gamma mixture of Poisson processes generating overall a negative binomial distribution. This is tested empirically with a large sample of papers published in 1990 from six management science journals and found to fit well. The model is extended to include obsolescence, i.e., that the citation rate for a paper varies over its cited lifetime. This leads to the additional citations distribution which shows that future citations are a linear function of past citations with a time-dependent and decreasing slope. This is also verified empirically in a way that allows different obsolescence functions to be fitted to the data. Conclusions concerning the predictability of future citations, and future research in this area are discussed.
- Date
- 26.12.2007 19:22:05
- Footnote
- Beitrag in einem "Special Issue on Informetrics"
-
Proceedings of the sixth conference of the International Society for Scientometrics and Informetrics (1997)
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- Footnote
- Issue devoted to the proceedings of the 6th conference of the International Society for Scientometrics and Informetrics, Jerusalem, 16-19 June 1997
-
Proceedings of the sixth conference of the International Society for Scientometrics and Informetrics (1998)
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- Footnote
- Issue devoted to the proceedings of the 6th conference of the International Society for Scientometrics and Informetrics, Jerusalem, 16-19 June 1997
-
Egghe, L.: Little science, big science and beyond (1994)
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- Abstract
- Discusses the quality of bibliometrics, informetrics and scientometrics research, intradisciplinary communication and science policy
-
Bar-Ilan, J.: Informetrics (2009)
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- Abstract
- Informetrics is a subfield of information science and it encompasses bibliometrics, scientometrics, cybermetrics, and webometrics. This encyclopedia entry provides an overview of informetrics and its subfields. In general, informetrics deals with quantitative aspects of information: its production, dissemination, evaluation, and use. Bibliometrics and scientometrics study scientific literature: papers, journals, patents, and citations; while in webometric studies the sources studied are Web pages and Web sites, and citations are replaced by hypertext links. The entry introduces major topics in informetrics: citation analysis and citation related studies, the journal impact factor, the recently defined h-index, citation databases, co-citation analysis, open access publications and its implications, informetric laws, techniques for mapping and visualization of informetric phenomena, the emerging subfields of webometrics, cybermetrics and link analysis, and research evaluation.
- Source
- Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
-
Stock, W.G.; Weber, S.: Facets of informetrics : Preface (2006)
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- Abstract
- According to Jean M. Tague-Sutcliffe "informetrics" is "the study of the quantitative aspects of information in any form, not just records or bibliographies, and in any social group, not just scientists" (Tague-Sutcliffe, 1992, 1). Leo Egghe also defines "informetrics" in a very broad sense. "(W)e will use the term' informetrics' as the broad term comprising all-metrics studies related to information science, including bibliometrics (bibliographies, libraries,...), scientometrics (science policy, citation analysis, research evaluation,...), webometrics (metrics of the web, the Internet or other social networks such as citation or collaboration networks), ..." (Egghe, 2005b,1311). According to Concepcion S. Wilson "informetrics" is "the quantitative study of collections of moderatesized units of potentially informative text, directed to the scientific understanding of information processes at the social level" (Wilson, 1999, 211). We should add to Wilson's units of text also digital collections of images, videos, spoken documents and music. Dietmar Wolfram divides "informetrics" into two aspects, "system-based characteristics that arise from the documentary content of IR systems and how they are indexed, and usage-based characteristics that arise how users interact with system content and the system interfaces that provide access to the content" (Wolfram, 2003, 6). We would like to follow Tague-Sutcliffe, Egghe, Wilson and Wolfram (and others, for example Björneborn & Ingwersen, 2004) and call this broad research of empirical information science "informetrics". Informetrics includes therefore all quantitative studies in information science. If a scientist performs scientific investigations empirically, e.g. on information users' behavior, on scientific impact of academic journals, on the development of the patent application activity of a company, on links of Web pages, on the temporal distribution of blog postings discussing a given topic, on availability, recall and precision of retrieval systems, on usability of Web sites, and so on, he or she contributes to informetrics. We see three subject areas in information science in which such quantitative research takes place, - information users and information usage, - evaluation of information systems, - information itself, Following Wolfram's article, we divide his system-based characteristics into the "information itself "-category and the "information system"-category. Figure 1 is a simplistic graph of subjects and research areas of informetrics as an empirical information science.
-
Egghe, L.: Expansion of the field of informetrics : origins and consequences (2005)
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-
Proceedings of the Fifth Biennial Conference of the International Society for Scientometrics and Informetrics (1995)
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-
Wolfram, D.: Applied informetrics for information retrieval research (2003)
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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.
-
Voveriene, O.; Trumpiene, A.: Bibliometrics, scientometrics and informetrics : their relationship and interactions (1994)
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- Abstract
- Considers aspects of scientific methodology by which a new subject field attains the status of a branch of a science. Discusses recent developments of metrics in the science of science and library and information science. Presents definitions of librametrics, bibliometrics, scientometrics and informetrics and examines the relationships of the last 3 with each other and with science of science, library science and information science
-
Niemi, T.; Hirvonen, L.; Järvelin, K.: Multidimensional data model and query language for informetrics (2003)
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- Abstract
- Multidimensional data analysis or On-line analytical processing (OLAP) offers a single subject-oriented source for analyzing summary data based an various dimensions. We demonstrate that the OLAP approach gives a promising starting point for advanced analysis and comparison among summary data in informetrics applications. At the moment there is no single precise, commonly accepted logical/conceptual model for multidimensional analysis. This is because the requirements of applications vary considerably. We develop a conceptual/logical multidimensional model for supporting the complex and unpredictable needs of informetrics. Summary data are considered with respect of some dimensions. By changing dimensions the user may construct other views an the same summary data. We develop a multidimensional query language whose basic idea is to support the definition of views in a way, which is natural and intuitive for lay users in the informetrics area. We show that this view-oriented query language has a great expressive power and its degree of declarativity is greater than in contemporary operation-oriented or SQL (Structured Query Language)-like OLAP query languages.
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.10, S.939-951
-
Näppilä, T.; Järvelin, K.; Niemi, T.: ¬A tool for data cube construction from structurally heterogeneous XML documents (2008)
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- Abstract
- Data cubes for OLAP (On-Line Analytical Processing) often need to be constructed from data located in several distributed and autonomous information sources. Such a data integration process is challenging due to semantic, syntactic, and structural heterogeneity among the data. While XML (extensible markup language) is the de facto standard for data exchange, the three types of heterogeneity remain. Moreover, popular path-oriented XML query languages, such as XQuery, require the user to know in much detail the structure of the documents to be processed and are, thus, effectively impractical in many real-world data integration tasks. Several Lowest Common Ancestor (LCA)-based XML query evaluation strategies have recently been introduced to provide a more structure-independent way to access XML documents. We shall, however, show that this approach leads in the context of certain - not uncommon - types of XML documents to undesirable results. This article introduces a novel high-level data extraction primitive that utilizes the purpose-built Smallest Possible Context (SPC) query evaluation strategy. We demonstrate, through a system prototype for OLAP data cube construction and a sample application in informetrics, that our approach has real advantages in data integration.
- Date
- 9. 2.2008 17:22:42
- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.3, S.435-449
-
Informetrics '91 : selected papers from the 3rd International Conference on Bibliometrics, 9-12 Aug. 1991, Bangalore (1993)
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- Footnote
- Rez. in: Journal of librarianship and information science 25(1993) no.4, S.216 (B. Cronin)
-
Hjoerland, B.: Does informetrics need a theory? : a rejoinder to professor anthony van raan (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.12, S.2846
-
Yan, E.; Ding, Y.: Discovering author impact : a PageRank perspective (2011)
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- Abstract
- This article provides an alternative perspective for measuring author impact by applying PageRank algorithm to a coauthorship network. A weighted PageRank algorithm considering citation and coauthorship network topology is proposed. We test this algorithm under different damping factors by evaluating author impact in the informetrics research community. In addition, we also compare this weighted PageRank with the h-index, citation, and program committee (PC) membership of the International Society for Scientometrics and Informetrics (ISSI) conferences. Findings show that this weighted PageRank algorithm provides reliable results in measuring author impact.
