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  • × author_ss:"Egghe, L."
  1. Egghe, L.; Guns, R.; Rousseau, R.; Leuven, K.U.: Erratum (2012) 0.03 
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    Date
    14. 2.2012 12:53:22
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.2, S.429
  2. Egghe, L.: Sampling and concentration values of incomplete bibliographies (2002) 0.03 
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    Abstract
    This article studies concentration aspects of bibliographies. More, in particular, we study the impact of incompleteness of such a bibliography on its concentration values (i.e., its degree of inequality of production of its sources). Incompleteness is modeled by sampling in the complete bibliography. The model is general enough to comprise truncation of a bibliography as well as a systematic sample on sources or items. In all cases we prove that the sampled bibliography (or incomplete one) has a higher concentration value than the complete one. These models, hence, shed some light on the measurement of production inequality in incomplete bibliographies.
    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.4, S.271-281
  3. Egghe, L.: ¬The power of power laws and an interpretation of Lotkaian informetric systems as self-similar fractals (2005) 0.03 
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    Abstract
    Power laws as defined in 1926 by A. Lotka are increasing in importance because they have been found valid in varied social networks including the Internet. In this article some unique properties of power laws are proven. They are shown to characterize functions with the scalefree property (also called seif-similarity property) as weIl as functions with the product property. Power laws have other desirable properties that are not shared by exponential laws, as we indicate in this paper. Specifically, Naranan (1970) proves the validity of Lotka's law based on the exponential growth of articles in journals and of the number of journals. His argument is reproduced here and a discrete-time argument is also given, yielding the same law as that of Lotka. This argument makes it possible to interpret the information production process as a seif-similar fractal and show the relation between Lotka's exponent and the (seif-similar) fractal dimension of the system. Lotkaian informetric systems are seif-similar fractals, a fact revealed by Mandelbrot (1977) in relation to nature, but is also true for random texts, which exemplify a very special type of informetric system.
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.669-675
  4. Egghe, L.: Zipfian and Lotkaian continuous concentration theory (2005) 0.02 
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    Abstract
    In this article concentration (i.e., inequality) aspects of the functions of Zipf and of Lotka are studied. Since both functions are power laws (i.e., they are mathematically the same) it suffices to develop one concentration theory for power laws and apply it twice for the different interpretations of the laws of Zipf and Lotka. After a brief repetition of the functional relationships between Zipf's law and Lotka's law, we prove that Price's law of concentration is equivalent with Zipf's law. A major part of this article is devoted to the development of continuous concentration theory, based an Lorenz curves. The Lorenz curve for power functions is calculated and, based an this, some important concentration measures such as the ones of Gini, Theil, and the variation coefficient. Using Lorenz curves, it is shown that the concentration of a power law increases with its exponent and this result is interpreted in terms of the functions of Zipf and Lotka.
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.9, S.935-945
  5. Egghe, L.; Rousseau, R.: Topological aspects of information retrieval (1998) 0.01 
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    Abstract
    Let (DS, DQ, sim) be a retrieval system consisting of a document space DS, a query space QS, and a function sim, expressing the similarity between a document and a query. Following D.M. Everett and S.C. Cater (1992), we introduce topologies on the document space. These topologies are generated by the similarity function sim and the query space QS. 3 topologies will be studied: the retrieval topology, the similarity topology and the (pseudo-)metric one. It is shown that the retrieval topology is the coarsest of the three, while the (pseudo-)metric is the strongest. These 3 topologies are generally different, reflecting distinct topological aspects of information retrieval. We present necessary and sufficient conditions for these topological aspects to be equal
  6. Egghe, L.: Mathematical theories of citation (1998) 0.01 
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    Abstract
    Focuses on possible mathematical theories of citation and on the intrinsic problems related to it. Sheds light on aspects of mathematical complexity as encountered in, for example, fractal theory and Mandelbrot's law. Also discusses dynamical aspects of citation theory as reflected in evolutions of journal rankings, centres of gravity or of the set of source journals. Makes some comments in this connection on growth and obsolescence
  7. Egghe, L.: Note on a possible decomposition of the h-Index (2013) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.4, S.871
  8. Egghe, L.: ¬The Hirsch index and related impact measures (2010) 0.01 
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    Source
    Annual review of information science and technology. 44(2010) no.1, S.65-114
  9. Egghe, L.: ¬A good normalized impact and concentration measure (2014) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.10, S.2052-2054
  10. Egghe, L.; Guns, R.; Rousseau, R.: Thoughts on uncitedness : Nobel laureates and Fields medalists as case studies (2011) 0.01 
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    Footnote
    Vgl.: Erratum. In: Journal of the American Society for Information Science and Technology. 63(2012) no.2, S.429.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1637-1644
  11. Egghe, L.; Liang, L.; Rousseau, R.: ¬A relation between h-index and impact factor in the power-law model (2009) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.11, S.2362-2365
  12. Egghe, L.: Dynamic h-index : the Hirsch index in function of time (2007) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.3, S.452-454
  13. Egghe, L.: On the relation between the association strength and other similarity measures (2010) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1502-1504
  14. Egghe, L.: Informetric explanation of some Leiden Ranking graphs (2014) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.4, S.737-741
  15. Egghe, L.; Rousseau, R.; Rousseau, S.: TOP-curves (2007) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.6, S.777-785
  16. Egghe, L.: ¬The influence of transformations on the h-index and the g-index (2008) 0.01 
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    Journal of the American Society for Information Science and Technology. 59(2008) no.8, S.1304-1312
  17. Egghe, L.; Liang, L.; Rousseau, R.: Fundamental properties of rhythm sequences (2008) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.9, S.1469-1478
  18. Egghe, L.: ¬A rationale for the Hirsch-index rank-order distribution and a comparison with the impact factor rank-order distribution (2009) 0.01 
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    Journal of the American Society for Information Science and Technology. 60(2009) no.10, S.2142-2144
  19. Egghe, L.: ¬A new short proof of Naranan's theorem, explaining Lotka's law and Zipf's law (2010) 0.01 
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    Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2581-2583
  20. Egghe, L.; Rousseau, R.: ¬The Hirsch index of a shifted Lotka function and its relation with the impact factor (2012) 0.01 
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    Journal of the American Society for Information Science and Technology. 63(2012) no.5, S.1048-1053

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