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Measuring Scholarly Impact

Methods and Practice

  • Book
  • © 2014

Overview

Editors:
  1. Ying Ding

    1. School of Informatics and Computing, Indiana University, Bloomington, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Ronald Rousseau

    1. University of Antwerp, Antwerp, Belgium

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    You can also search for this editor in PubMed   Google Scholar

  3. Dietmar Wolfram

    1. University of Wisconsin-Milwaukee, Milwaukee, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Provides a complete guide to analyzing scholarly communication and the informetrics used for the assessment of scholarly impact
  • Consolidates techniques and technologies for measuring scholarly impact from the fields of statistical science, scientific visualization, network analysis, text mining and information retrieval
  • Equips data scientists with the ability to apply these techniques and technologies to other social network analyses and metrics-related research

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Network Tools and Analysis

    1. Front Matter

      Pages 1-1
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    2. Community Detection and Visualization of Networks with the Map Equation Framework

      • Ludvig Bohlin, Daniel Edler, Andrea Lancichinetti, Martin Rosvall
      Pages 3-34

    3. Link Prediction

      • Raf Guns
      Pages 35-55

    4. Network Analysis and Indicators

      • StaÅ¡a Milojević
      Pages 57-82

    5. PageRank-Related Methods for Analyzing Citation Networks

      • Ludo Waltman, Erjia Yan
      Pages 83-100

  3. The Science System

    1. Front Matter

      Pages 101-101
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    2. Systems Life Cycle and Its Relation with the Triple Helix

      • Robert K. Abercrombie, Andrew S. Loebl
      Pages 103-125

    3. Spatial Scientometrics and Scholarly Impact: A Review of Recent Studies, Tools, and Methods

      • Koen Frenken, Jarno Hoekman
      Pages 127-146

    4. Researchers’ Publication Patterns and Their Use for Author Disambiguation

      • Vincent Larivière, Benoit Macaluso
      Pages 147-167

    5. Knowledge Integration and Diffusion: Measures and Mapping of Diversity and Coherence

      • Ismael Rafols
      Pages 169-190

  5. Visualization

    1. Front Matter

      Pages 283-283
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    2. Visualizing Bibliometric Networks

      • Nees Jan van Eck, Ludo Waltman
      Pages 285-320

    3. Replicable Science of Science Studies

      • Katy Börner, David E. Polley
      Pages 321-341

  6. Back Matter

    Pages 343-346
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Keywords

About this book

This book is an authoritative handbook of current topics, technologies and methodological approaches that may be used for the study of scholarly impact. The included methods cover a range of fields such as statistical sciences, scientific visualization, network analysis, text mining, and information retrieval. The techniques and tools enable researchers to investigate metric phenomena and to assess scholarly impact in new ways. Each chapter offers an introduction to the selected topic and outlines how the topic, technology or methodological approach may be applied to metrics-related research. Comprehensive and up-to-date, Measuring Scholarly Impact: Methods and Practice is designed for researchers and scholars interested in informetrics, scientometrics, and text mining. The hands-on perspective is also beneficial to advanced-level students in fields from computer science and statistics to information science.

Editors and Affiliations

  • School of Informatics and Computing, Indiana University, Bloomington, USA

    Ying Ding

  • University of Antwerp, Antwerp, Belgium

    Ronald Rousseau

  • University of Wisconsin-Milwaukee, Milwaukee, USA

    Dietmar Wolfram

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