Search (244 results, page 1 of 13)

  • × theme_ss:"Informetrie"
  1. Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013) 0.05 
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    Content
    Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
  2. Wan, X.; Liu, F.: Are all literature citations equally important? : automatic citation strength estimation and its applications (2014) 0.02 
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    Date
    22. 8.2014 17:12:35
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1929-1938
  3. Mir, T.A.; Ausloos, M.: Benford's law : a "sleeping beauty" sleeping in the dirty pages of logarithmic tables (2018) 0.01 
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    Abstract
    Benford's law is an empirical observation, first reported by Simon Newcomb in 1881 and then independently by Frank Benford in 1938: the first significant digits of numbers in large data are often distributed according to a logarithmically decreasing function. Being contrary to intuition, the law was forgotten as a mere curious observation. However, in the last two decades relevant literature has grown exponentially-an evolution typical of "Sleeping Beauties" (SBs) publications that go unnoticed (sleep) for a long time and then suddenly become the center of attention (are awakened). Thus, in the present study, we show that the two papers, Newcomb (1881) and Benford (1938), Newcomb (1881, American Journal of Mathematics, 4, 39-40) and Benford (1938, Proc. Am. Phil. Soc., 78, 551-572) papers are clearly SBs. The former was in a deep sleep for 110 years, whereas the latter was in a deep sleep for a comparatively lesser period of 31 years up to 1968, and in a state of less deep sleep for another 27 years, up to 1995. Both SBs were awakened in the year 1995 by Hill (1995a, Statistical Science, 10, 354-363). In so doing, we show that the waking prince (Hill, 1995a) is more often quoted than the SB whom he kissed-in this Benford's law case, wondering whether this is a general effect-to be usefully studied.
  4. Raan, A.F.J. van: Scaling rules in the science system : influence of field-specific citation characteristics on the impact of research groups (2008) 0.01 
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    Abstract
    A representation of science as a citation density landscape is proposed and scaling rules with the field-specific citation density as a main topological property are investigated. The focus is on the size-dependence of several main bibliometric indicators for a large set of research groups while distinguishing between top-performance and lower-performance groups. It is demonstrated that this representation of the science system is particularly effective to understand the role and the interdependencies of the different bibliometric indicators and related topological properties of the landscape.
    Date
    22. 3.2009 19:03:12
  5. Rostaing, H.; Barts, N.; Léveillé, V.: Bibliometrics: representation instrument of the multidisciplinary positioning of a scientific area : Implementation for an Advisory Scientific Committee (2007) 0.01 
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    Date
    30.12.2007 11:22:39
  6. McCain, K.W.: Co-cited author mapping as a valid representation of intellectual structure (1986) 0.01 
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  7. Ferrer-i-Cancho, R.; Vitevitch, M.S.: ¬The origins of Zipf's meaning-frequency law (2018) 0.01 
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    Abstract
    In his pioneering research, G.K. Zipf observed that more frequent words tend to have more meanings, and showed that the number of meanings of a word grows as the square root of its frequency. He derived this relationship from two assumptions: that words follow Zipf's law for word frequencies (a power law dependency between frequency and rank) and Zipf's law of meaning distribution (a power law dependency between number of meanings and rank). Here we show that a single assumption on the joint probability of a word and a meaning suffices to infer Zipf's meaning-frequency law or relaxed versions. Interestingly, this assumption can be justified as the outcome of a biased random walk in the process of mental exploration.
  8. Costas, R.; Bordons, M.; Leeuwen, T.N. van; Raan, A.F.J. van: Scaling rules in the science system : Influence of field-specific citation characteristics on the impact of individual researchers (2009) 0.01 
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    Abstract
    The representation of science as a citation density landscape and the study of scaling rules with the field-specific citation density as a main topological property was previously analyzed at the level of research groups. Here, the focus is on the individual researcher. In this new analysis, the size dependence of several main bibliometric indicators for a large set of individual researchers is explored. Similar results as those previously observed for research groups are described for individual researchers. The total number of citations received by scientists increases in a cumulatively advantageous way as a function of size (in terms of number of publications) for researchers in three areas: Natural Resources, Biology & Biomedicine, and Materials Science. This effect is stronger for researchers in low citation density fields. Differences found among thematic areas with different citation densities are discussed.
    Date
    22. 3.2009 19:02:48
  9. Zitt, M.; Lelu, A.; Bassecoulard, E.: Hybrid citation-word representations in science mapping : Portolan charts of research fields? (2011) 0.01 
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    Abstract
    The mapping of scientific fields, based on principles established in the seventies, has recently shown a remarkable development and applications are now booming with progress in computing efficiency. We examine here the convergence of two thematic mapping approaches, citation-based and word-based, which rely on quite different sociological backgrounds. A corpus in the nanoscience field was broken down into research themes, using the same clustering technique on the 2 networks separately. The tool for comparison is the table of intersections of the M clusters (here M=50) built on either side. A classical visual exploitation of such contingency tables is based on correspondence analysis. We investigate a rearrangement of the intersection table (block modeling), resulting in pseudo-map. The interest of this representation for confronting the two breakdowns is discussed. The amount of convergence found is, in our view, a strong argument in favor of the reliability of bibliometric mapping. However, the outcomes are not convergent at the degree where they can be substituted for each other. Differences highlight the complementarity between approaches based on different networks. In contrast with the strong informetric posture found in recent literature, where lexical and citation markers are considered as miscible tokens, the framework proposed here does not mix the two elements at an early stage, in compliance with their contrasted logic.
    Date
    8. 1.2011 18:22:50
  10. Asubiaro, T.V.; Onaolapo, S.: ¬A comparative study of the coverage of African journals in Web of Science, Scopus, and CrossRef (2023) 0.01 
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    Abstract
    This is the first study that evaluated the coverage of journals from Africa in Web of Science, Scopus, and CrossRef. A list of active journals published in each of the 55 African countries was compiled from Ulrich's periodicals directory and African Journals Online (AJOL) website. Journal master lists for Web of Science, Scopus, and CrossRef were searched for the African journals. A total of 2,229 unique active African journals were identified from Ulrich (N = 2,117, 95.0%) and AJOL (N = 243, 10.9%) after removing duplicates. The volume of African journals in Web of Science and Scopus databases is 7.4% (N = 166) and 7.8% (N = 174), respectively, compared to the 45.6% (N = 1,017) covered in CrossRef. While making up only 17.% of all the African journals, South African journals had the best coverage in the two most authoritative databases, accounting for 73.5% and 62.1% of all the African journals in Web of Science and Scopus, respectively. In contrast, Nigeria published 44.5% of all the African journals. The distribution of the African journals is biased in favor of Medical, Life and Health Sciences and Humanities and the Arts in the three databases. The low representation of African journals in CrossRef, a free indexing infrastructure that could be harnessed for building an African-centric research indexing database, is concerning.
    Date
    22. 6.2023 14:09:06
  11. Zhang, Y.; Wu, M.; Zhang, G.; Lu, J.: Stepping beyond your comfort zone : diffusion-based network analytics for knowledge trajectory recommendation (2023) 0.01 
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    Abstract
    Predicting a researcher's knowledge trajectories beyond their current foci can leverage potential inter-/cross-/multi-disciplinary interactions to achieve exploratory innovation. In this study, we present a method of diffusion-based network analytics for knowledge trajectory recommendation. The method begins by constructing a heterogeneous bibliometric network consisting of a co-topic layer and a co-authorship layer. A novel link prediction approach with a diffusion strategy is then used to capture the interactions between social elements (e.g., collaboration) and knowledge elements (e.g., technological similarity) in the process of exploratory innovation. This diffusion strategy differentiates the interactions occurring among homogeneous and heterogeneous nodes in the heterogeneous bibliometric network and weights the strengths of these interactions. Two sets of experiments-one with a local dataset and the other with a global dataset-demonstrate that the proposed method is prior to 10 selected baselines in link prediction, recommender systems, and upstream graph representation learning. A case study recommending knowledge trajectories of information scientists with topical hierarchy and explainable mediators reveals the proposed method's reliability and potential practical uses in broad scenarios.
    Date
    22. 6.2023 18:07:12
  12. Glänzel, W.; Rousseau, D.; Zhang, L.: ¬A visual representation of relative first-citation times (2012) 0.00 
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    Abstract
    A new visual representation of the response time, i.e., the time elapsed between the publication year and the date of the first citation of a paper, is provided. This presentation can be used to detect and describe different paradigmatic types of reception speed for scientific journals.
  13. Bookstein, A.: Informetric distributions : I. Unified overview (1990) 0.00 
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    Date
    22. 7.2006 18:55:29
  14. Quoniam, L.: Bibliometric law used for information retrieval (1998) 0.00 
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    Abstract
    Zipf's law was used to qualify all the key words of documents in a data set. This qualification was used to build a graphical representation of the resulting indicator in each document. The graphical resolution leads to a document dispatch in a 3 dimensional space. This graphical representation was used as an information retrieval tool without using any keyword. The presentation of a case study is available on the WWW. The graph is drawn in VRML allowing a dynamic picture which is linked to a database management system (FreeWAIS)
  15. Liu, Y.; Rousseau, R.: Towards a representation of diffusion and interaction of scientific ideas : the case of fiber optics communication (2012) 0.00 
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    Abstract
    The research question studied in this contribution is how to find an adequate representation to describe the diffusion of scientific ideas over time. We claim that citation data, at least of articles that act as concept symbols, can be considered to contain this information. As a case study we show how the founding article by Nobel Prize winner Kao illustrates the evolution of the field of fiber optics communication. We use a continuous description of discrete citation data in order to accentuate turning points and breakthroughs in the history of this field. Applying the principles explained in this contribution informetrics may reveal the trajectories along which science is developing.
  16. Freitas, J.L.; Gabriel Jr., R.F.; Bufrem, L.S.: Theoretical approximations between Brazilian and Spanish authors' production in the field of knowledge organization in the production of journals on information science in Brazil (2012) 0.00 
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    Content
    Beitrag einer Section "Selected Papers from the 1ST Brazilian Conference on Knowledge Organization And Representation, Faculdade de Ciência da Informação, Campus Universitário Darcy Ribeiro Brasília, DF Brasil, October 20-22, 2011" Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_39_2012_3_g.pdf.
  17. Wagner-Döbler, R.: Time dependencies of Bradford distributions : structures of journal output in 20th century logic and 19the century mathematics (1997) 0.00 
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    Abstract
    Investigates time dependencies of Bradford distributions for 19th century mathematics and for 20th century logic. To facilitate comparisons, uses 'Pareto's law' and Lorenz diagrams for the representation of empirical Bradford distributions. Shows that the character of a Bradford distribution (including the 'core zone' and the 'Groos droop') depends on the stage in the development of a scientific field and that it varies with the time span considered
  18. Wouters, P.: ¬The signs of science (1998) 0.00 
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    Abstract
    Since the 'Science Citation Index' emerged within the system of scientific communication in 1964, an intense controversy about its character has been raging: in what sense can citation analysis be trusted? This debate can be characterized as the confrontation of different perspectives on science. Discusses the citation representation of science: the way the citation creates a new reality of as well as in the world of science; the main features of this reality; and some implications for science and science policy
  19. Hennemann, S.: Evaluating the performance of geographical locations within scientific networks using an aggregation-randomization-re-sampling approach (ARR) (2012) 0.00 
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    Abstract
    Knowledge creation and dissemination in science and technology systems are perceived as prerequisites for socioeconomic development. The efficiency of creating new knowledge is considered to have a geographical component, that is, some regions are more capable in terms of scientific knowledge production than others. This article presents a method of using a network representation of scientific interaction to assess the relative efficiency of regions with diverse boundaries in channeling knowledge through a science system. In a first step, a weighted aggregate of the betweenness centrality is produced from empirical data (aggregation). The subsequent randomization of this empirical network produces the necessary null model for significance testing and normalization (randomization). This step is repeated to provide greater confidence about the results (re-sampling). The results are robust estimates for the relative regional efficiency of brokering knowledge, which is discussed along with cross-sectional and longitudinal empirical examples. The network representation acts as a straightforward metaphor of conceptual ideas from economic geography and neighboring disciplines. However, the procedure is not limited to centrality measures, nor is it limited to geographical aggregates. Therefore, it offers a wide range of applications for scientometrics and beyond.
  20. Torres-Salinas, D.; Robinson-García, N.; Jiménez-Contreras, E.; Herrera, F.; López-Cózar, E.D.: On the use of biplot analysis for multivariate bibliometric and scientific indicators (2013) 0.00 
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    Abstract
    Bibliometric mapping and visualization techniques represent one of the main pillars in the field of scientometrics. Traditionally, the main methodologies employed for representing data are multidimensional scaling, principal component analysis, or correspondence analysis. In this paper we aim to present a visualization methodology known as biplot analysis for representing bibliometric and science and technology indicators. A biplot is a graphical representation of multivariate data, where the elements of a data matrix are represented according to dots and vectors associated with the rows and columns of the matrix. In this paper, we explore the possibilities of applying biplot analysis in the research policy area. More specifically, we first describe and introduce the reader to this methodology and secondly, we analyze its strengths and weaknesses through 3 different case studies: countries, universities, and scientific fields. For this, we use a biplot analysis known as JK-biplot. Finally, we compare the biplot representation with other multivariate analysis techniques. We conclude that biplot analysis could be a useful technique in scientometrics when studying multivariate data, as well as an easy-to-read tool for research decision makers.

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