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  • Book
  • © 2014

Measuring Scholarly Impact

Methods and Practice

  • 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
  2. Network Tools and Analysis

    1. Front Matter

      Pages 1-1
    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
    2. Systems Life Cycle and Its Relation with the Triple Helix

      • Robert K. Abercrombie, Andrew S. Loebl
      Pages 103-125
    3. Researchers’ Publication Patterns and Their Use for Author Disambiguation

      • Vincent Larivière, Benoit Macaluso
      Pages 147-167
  4. Visualization

    1. Front Matter

      Pages 283-283
    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
  5. Back Matter

    Pages 343-346

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.

Keywords

  • ISI
  • Page Rank
  • Thomson Reuters
  • bibliometrics
  • citations
  • community detection
  • discrete choice models
  • impact factor
  • informetrics
  • knowledge integration and diffusion
  • network dynamics
  • percentiles and effect size
  • scholarly impact
  • scientometrics
  • system life cycle
  • text mining
  • topic modeling
  • visualization

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

Bibliographic Information

Buying options

eBook USD 84.99
Price excludes VAT (Canada)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (Canada)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions