Informetrics

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Leo Egghe - One of the best experts on this subject based on the ideXlab platform.

  • timeline of Informetrics
    2018
    Co-Authors: Ronald Rousseau, Leo Egghe, Raf Guns
    Abstract:

    This chapter provides a timeline of important steps in the development of scientific communication, the analysis of publications and citations, and research policy and evaluation. It ranges from the appearance of the first scientific journals in 1665 to the introduction of the term metric-wiseness and the appearance of the Leiden Manifesto and the Metric Tide report in 2015.

  • five years journal of Informetrics
    Journal of Informetrics, 2012
    Co-Authors: Leo Egghe
    Abstract:

    Abstract End of 2011, the Journal of Informetrics (Elsevier) existed five years. We overview its scope, published articles (topics, co-authorship, authors’ countries), editorial decisions, editorial and production times, impact factor and article downloads aspects. Finally we present a local citation environment map of JOI.

  • conjugate partitions in Informetrics lorenz curves h type indices ferrers graphs and durfee squares in a discrete and continuous setting
    Journal of Informetrics, 2010
    Co-Authors: Leo Egghe
    Abstract:

    Abstract The well-known discrete theory of conjugate partitions, Ferrers graphs and Durfee squares is interpreted in Informetrics. It is shown that partitions and their conjugates have the same h-index, a fact that is not true for the g- and R-index. A modification of Ferrers graph is presented, yielding the g-index. We then present a formula for the Lorenz curve of the conjugate partition in function of the Lorenz curve of the original partition in the discrete setting. Ferrers graphs, Durfee squares and conjugate partitions are then defined in the continuous setting where variables range over intervals. Conjugate partitions are nothing else than the inverses of rank-frequency functions in Informetrics. Also here they have the same h-index and we can again give a formula for the Lorenz curve of the conjugate partition in function of the Lorenz curve of the original partition. Calculatory examples are given where these Lorenz curves are equal and where one Lorenz curve dominates the other one. We also prove that the Lorenz curve of a partition and the one of its conjugate can intersect on the open interval 0,1 .

  • lotkaian Informetrics and applications to social networks
    Bulletin of The Belgian Mathematical Society-simon Stevin, 2009
    Co-Authors: Leo Egghe
    Abstract:

    Two-dimensional Informetrics is defined in the general context of sources that produce items and examples are given. These systems are called ``Information Production Processes'' (IPPs). They can be described by a size-frequency function $f$ or, equivalently, by a rank-frequency function $g$. If $f$ is a decreasing power law then we say that this function is the law of Lotka and it is equivalent with the power law $g$ which is called the law of Zipf. Examples in WWW are given. Next we discuss the scale-free property of $f$ also allowing for the interpretation of a Lotkaian IPP (i.e. for which $f$ is the law of Lotka) as a self-similar fractal. Then we discuss dynamical aspects of (Lotkaian) IPPs by introducing an item-transformation $\varphi$ and a source-transformation $\psi$. If these transformations are power functions we prove that the transformed IPP is Lotkaian and we present a formula for the exponent of the Lotka law. Applications are given on the evolution of WWW and on IPPs without low productive sources (e.g. sizes of countries, municipalities or databases). Lotka's law is then used to model the cumulative first citation distribution and examples of good fit are given. Finally, Lotka's law is applied to the study of performance indices such as the $h$-index (Hirsch) or the $g$-index (Egghe). Formulas are given for the $h$- and $g$-index in Lotkaian IPPs and applications are given.

  • Mathematical derivation of the impact factor distribution
    Journal of Informetrics, 2009
    Co-Authors: Leo Egghe
    Abstract:

    Abstract Experimental data [Mansilla, R., Koppen, E., Cocho, G., & Miramontes, P. (2007). On the behavior of journal impact factor rank-order distribution. Journal of Informetrics , 1 (2), 155–160] reveal that, if one ranks a set of journals (e.g. in a field) in decreasing order of their impact factors, the rank distribution of the logarithm of these impact factors has a typical S-shape: first a convex decrease, followed by a concave decrease. In this paper we give a mathematical formula for this distribution and explain the S-shape. Also the experimentally found smaller convex part and larger concave part is explained. If one studies the rank distribution of the impact factors themselves, we now prove that we have the same S-shape but with inflection point in μ , the average of the impact factors. These distributions are valid for any type of impact factor (any publication period and any citation period). They are even valid for any sample average rank distribution.

Judit Barilan - One of the best experts on this subject based on the ideXlab platform.

  • Informetrics bibliometrics altmetrics what is it all about
    Proceedings of the American Society for Information Science and Technology, 2014
    Co-Authors: Isabella Peters, Judit Barilan
    Abstract:

    The aim of this SIG/MET-sponsored panel is to discuss major informetric topics including the impact factor, the h-index, sources of citation data, the Eigenfactor, the making and use of base maps of science, application of Informetrics (e.g., for retrieval purposes), altmetrics, and future perspectives on bibliometrics. The panel especially addresses attendees who want to expand their knowledge in this area or got in touch with it only recently.

  • using information obtained through Informetrics to address practical problems and to aid decision making
    Association for Information Science and Technology, 2011
    Co-Authors: Judit Barilan, Jonathan M Levitt, Katherine W Mccain, Stasa Milojevic, Debora Shaw, Cassidy R Sugimoto, Liwen Vaughan, Dietmar Wolfram
    Abstract:

    Sponsored by: ASIS&T SIG/MET This panel aims to inform participants of, and to stimulate interest in, the diverse ways in which the measurement of information (Informetrics) is used in real-world applications. Its timeliness is indicated by the recent increase in interest amongst ASIS&T members in Informetrics that culminated in the endorsement of the change of status of SIG/MET from a virtual SIG to fully functional ASIS&T SIG. The panelists, selected for their diverse experiences in Informetrics, address a diversity of issues in the use of informetric information in real-world situations. The format of the panel is designed to encourage audience participation with the audience being encouraged to suggest issues for discussion.

  • the lifespan of Informetrics on the web an eight year study 1998 2006
    Scientometrics, 2009
    Co-Authors: Judit Barilan, Bluma C Peritz
    Abstract:

    The World Wide Web is growing at an enormous speed, and has become an indispensable source for information and research. New pages are constantly added, but there are additional processes as well: pages are moved or removed and/or their content changes. We report here the results of an eight year long project started in 1998, when multiple search engines were used to identify a set of pages containing the term Informetrics. Data collection was repeated once a year for the last eight years (with the exception of 2000 and 2001) using both search engines and revisiting previously identified pages. The results show that the number of pages grew from 866 in 1998 to 28,914 in 2006 — a 33-fold growth. Besides the obvious growth of the topic on the Web, we observed both decay (pages disappearing from the Web) and modification. Even though most of the pages from 1998 either disappeared or ceased to contain the term Informetrics, 165 pages (19.1%) still exist in 2006 and contain the search term. We followed the “fate” of these 165 pages: characterized the publishers, the contents and the changes that occurred the whole period. In recent years e-print servers and publishers’ sites became sources of large number of pages related to Informetrics. Longitudinal studies following the evolution of a topic on the Web are very important, since they provide insights about content and the underlying Web processes.

  • Informetrics at the beginning of the 21st century a review
    Journal of Informetrics, 2008
    Co-Authors: Judit Barilan
    Abstract:

    Abstract This paper reviews developments in Informetrics between 2000 and 2006. At the beginning of the 21st century we witness considerable growth in webometrics, mapping and visualization and open access. A new topic is comparison between citation databases, as a result of the introduction of two new citation databases Scopus and Google Scholar. There is renewed interest in indicators as a result of the introduction of the h -index. Traditional topics like citation analysis and informetric theory also continue to develop. The impact factor debate, especially outside the informetric literature continues to thrive. Ranked lists (of journal, highly cited papers or of educational institutions) are of great public interest.

  • evolution continuity and disappearance of documents on a specific topic on the web a longitudinal study of Informetrics
    Journal of the Association for Information Science and Technology, 2004
    Co-Authors: Judit Barilan, Bluma C Peritz
    Abstract:

    The present paper analyzes the changes that occurred to a set of Web pages related to "Informetrics" over a period of 5 years between June 1998 and June 2003. Four times during this time span, in 1998, 1999, 2002, and 2003, we monitored previously located pages and searched for new ones related to the topic. Thus, we were able to study the growth of the topic, while analyzing the rates of change and disappearance. The results indicate that modification, disappearance, and resurfacing cannot be ignored when studying the structure and development of the Web.

Ronald Rousseau - One of the best experts on this subject based on the ideXlab platform.

  • timeline of Informetrics
    2018
    Co-Authors: Ronald Rousseau, Leo Egghe, Raf Guns
    Abstract:

    This chapter provides a timeline of important steps in the development of scientific communication, the analysis of publications and citations, and research policy and evaluation. It ranges from the appearance of the first scientific journals in 1665 to the introduction of the term metric-wiseness and the appearance of the Leiden Manifesto and the Metric Tide report in 2015.

  • reply to comment on using multi level frontiers in dea models to grade countries territories by g l yang et al journal of Informetrics 10 1 2016 238 253
    Journal of Informetrics, 2017
    Co-Authors: Guoliang Yang, Ronald Rousseau, Per Ahlgren, Liying Yang, Jielan Ding
    Abstract:

    Reply to 'Comment on "Using multi-level frontiers in DEA models to grade countries/territories" by G.-I. Yang et al. [Journal of Informetrics 10(1) (2016), 238-253]'

  • heterogeneity in an undirected network definition and measurement
    Journal of Informetrics, 2017
    Co-Authors: Xiaojun Hu, Loet Leydesdorff, Ronald Rousseau
    Abstract:

    Although heterogeneous networks are ubiquitous, a precise definition is lacking, in our opinion. We submit a definition of network heterogeneity and elaborate on a resulting approach to its measurement. This measure is denoted as HE. As an illustration HE is applied to examples from the fields of Informetrics and neurosciences. Yet, it is pointed out that our definition has universal applicability.

  • A view on big data and its relation to Informetrics
    Journal of Data and Information Science, 2012
    Co-Authors: Ronald Rousseau
    Abstract:

    Purpose: big data offer a huge challenge. Their very existence leads to the contradiction that the more data we have the less accessible they become, as the particular piece of information one is searching for may be buried among terabytes of other data. In this contribution we discuss the origin of big data and point to three challenges when big data arise: Data storage, data processing and generating insights. Design/methodology/approach: Computer-related challenges can be expressed by the CAP theorem which states that it is only possible to simultaneously provide any two of the three following properties in distributed applications: Consistency (C), availability (A) and partition tolerance (P). As an aside we mention Amdahl’s law and its application for scientific collaboration. We further discuss data mining in large databases and knowledge representation for handling the results of data mining exercises. We further offer a short informetric study of the field of big data , and point to the ethical dimension of the big data phenomenon. Findings: There still are serious problems to overcome before the field of big data can deliver on its promises. Implications and limitations: This contribution offers a personal view, focusing on the information science aspects, but much more can be said about software aspects. Originality/value: We express the hope that the information scientists, including librarians, will be able to play their full role within the knowledge discovery, data mining and big data communities, leading to exciting developments, the reduction of scientific bottlenecks and really innovative applications.

  • a continuous description of discrete data points in Informetrics using spline functions
    Aslib Proceedings, 2012
    Co-Authors: Yuxian Liu, Ronald Rousseau
    Abstract:

    Purpose – The paper aims to propose the use of spline functions for the description and visualization of discrete informetric data.Design/methodology/approach – Interpolating cubic splines: are interpolating functions (they pass through the given data points); are cubic, i.e. are polynomials of third degree; have first and second derivatives in the data points, implying that they connect data points in a smooth way; satisfy a best‐approximation property which tends to reduce curvature. These properties are illustrated in the paper using real citation data.Findings – The paper reveals that calculating splines yields a differentiable function that still captures small but real changes. It offers a middle way between connecting discrete data by line segments and providing an overall best‐fitting curve.Research limitations/implications – The major disadvantage of the use of splines is that accurate data are essential.Practical implications – Spline functions can be used for illustrative as well as modelling p...

Bluma C Peritz - One of the best experts on this subject based on the ideXlab platform.

  • the lifespan of Informetrics on the web an eight year study 1998 2006
    Scientometrics, 2009
    Co-Authors: Judit Barilan, Bluma C Peritz
    Abstract:

    The World Wide Web is growing at an enormous speed, and has become an indispensable source for information and research. New pages are constantly added, but there are additional processes as well: pages are moved or removed and/or their content changes. We report here the results of an eight year long project started in 1998, when multiple search engines were used to identify a set of pages containing the term Informetrics. Data collection was repeated once a year for the last eight years (with the exception of 2000 and 2001) using both search engines and revisiting previously identified pages. The results show that the number of pages grew from 866 in 1998 to 28,914 in 2006 — a 33-fold growth. Besides the obvious growth of the topic on the Web, we observed both decay (pages disappearing from the Web) and modification. Even though most of the pages from 1998 either disappeared or ceased to contain the term Informetrics, 165 pages (19.1%) still exist in 2006 and contain the search term. We followed the “fate” of these 165 pages: characterized the publishers, the contents and the changes that occurred the whole period. In recent years e-print servers and publishers’ sites became sources of large number of pages related to Informetrics. Longitudinal studies following the evolution of a topic on the Web are very important, since they provide insights about content and the underlying Web processes.

  • evolution continuity and disappearance of documents on a specific topic on the web a longitudinal study of Informetrics
    Journal of the Association for Information Science and Technology, 2004
    Co-Authors: Judit Barilan, Bluma C Peritz
    Abstract:

    The present paper analyzes the changes that occurred to a set of Web pages related to "Informetrics" over a period of 5 years between June 1998 and June 2003. Four times during this time span, in 1998, 1999, 2002, and 2003, we monitored previously located pages and searched for new ones related to the topic. Thus, we were able to study the growth of the topic, while analyzing the rates of change and disappearance. The results indicate that modification, disappearance, and resurfacing cannot be ignored when studying the structure and development of the Web.

  • the life span of a specific topic on the web the case of Informetrics a quantitative analysis
    Scientometrics, 1999
    Co-Authors: Judit Barilan, Bluma C Peritz
    Abstract:

    In this case study a first attempt was made to explore data on the Web for a certain period of time by using bibliometric methods for analysis. The period under investigation was between January 3, 1998 and June 7, 1998. An additional search was carried out on June 20, 1999. The terms used were “Informetrics or, informetric”. The results show that substantial changes occurred to the “literature on the Web” on Informetrics during this period. Three specific trends were observed: some documents disppeared, new ones were added and some underwent changes.

Dietmar Wolfram - One of the best experts on this subject based on the ideXlab platform.

  • The symbiotic relationship between information retrieval and Informetrics
    Scientometrics, 2015
    Co-Authors: Dietmar Wolfram
    Abstract:

    Informetrics and information retrieval (IR) represent fundamental areas\nof study within information science. Historically, researchers have not\nfully capitalized on the potential research synergies that exist between\nthese two areas. Data sources used in traditional Informetrics studies\nhave their analogues in IR, with similar types of empirical regularities\nfound in IR system content and use. Methods for data collection and\nanalysis used in Informetrics can help to inform IR system development\nand evaluation. Areas of application have included automatic indexing,\nindex term weighting and understanding user query and session patterns\nthrough the quantitative analysis of user transaction logs. Similarly,\ndevelopments in database technology have made the study of informetric\nphenomena less cumbersome, and recent innovations used in IR research,\nsuch as language models and ranking algorithms, provide new tools that\nmay be applied to research problems of interest to informetricians.\nBuilding on the author's previous work (Wolfram in Applied Informetrics\nfor information retrieval research, Libraries Unlimited, Westport,\n2003), this paper reviews a sample of relevant literature published\nprimarily since 2000 to highlight how each area of study may help to\ninform and benefit the other.

  • team co occurence in internet search engine queries an analysis of the excite data set
    Proceedings of the Annual Conference of CAIS Actes du congrès annuel de l'ACSI, 2013
    Co-Authors: Dietmar Wolfram
    Abstract:

    Unique queries submitted to the Excite search engine were analyzed for empirical regularities in the co-occurrence of search terms. The distribution of frequency of term pair occurrences was fitted to three models used in informetric studies to determine whether the pattern of term usage followed a Zipfian distribution. Relatively poor fits were obtained for two of the models tested. . .

  • using information obtained through Informetrics to address practical problems and to aid decision making
    Association for Information Science and Technology, 2011
    Co-Authors: Judit Barilan, Jonathan M Levitt, Katherine W Mccain, Stasa Milojevic, Debora Shaw, Cassidy R Sugimoto, Liwen Vaughan, Dietmar Wolfram
    Abstract:

    Sponsored by: ASIS&T SIG/MET This panel aims to inform participants of, and to stimulate interest in, the diverse ways in which the measurement of information (Informetrics) is used in real-world applications. Its timeliness is indicated by the recent increase in interest amongst ASIS&T members in Informetrics that culminated in the endorsement of the change of status of SIG/MET from a virtual SIG to fully functional ASIS&T SIG. The panelists, selected for their diverse experiences in Informetrics, address a diversity of issues in the use of informetric information in real-world situations. The format of the panel is designed to encourage audience participation with the audience being encouraged to suggest issues for discussion.

  • geographic characteristics of the growth of Informetrics literature 1987 2008
    Journal of Informetrics, 2010
    Co-Authors: Dietmar Wolfram
    Abstract:

    Abstract Recent studies have concluded that American contributions to science literature have been in relative decline, whereas contributions from other parts of the world such as the European Union and Asia have increased. Is the same true for the areas of bibliometrics, Informetrics and scientometrics? This study investigates the growth and geographic distribution of metrics research for the period 1987–2008. Similar to studies of other disciplines or science in general, the findings reveal that the United States continues to dominate, but there has been a recent relative decline in North American contributions overall. European and Asian contributions have grown substantially. National and institutional collaborations that contribute to this growth do not necessarily follow close geographic proximity, although European nations have been more active with international collaborations overall, both within Europe and elsewhere.

  • applied Informetrics for information retrieval research
    2003
    Co-Authors: Dietmar Wolfram
    Abstract:

    Chapter 1: Introduction Chapter 2: Information Retrieval Chapter 3: Informetrics Chapter 4: Data Collection and Model Development Techniques Chapter 5: Informetrics and IR System Content Chapter 6: Informetrics and IR System Use Chapter 7: Applications Chapter 8: Future Directions