Measuring Scholarly Impact Methods and Practice /

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ding, Ying (Editor), Rousseau, Ronald (Editor), Wolfram, Dietmar (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Community detection and visualization of networks with the map equation framework
  • Link Prediction
  • Network analysis and indicators
  • PageRank-related methods for analyzing citation networks
  • Systems Life Cycle and its relation with the Triple Helix
  • Spatial scientometrics and scholarly impact: A review of recent studies, tools and methods
  • Researchers’ publication patterns and their use for author disambiguation
  • Knowledge integration and diffusion: Measures and mapping of diversity and coherence
  • Limited dependent variables models and probabilistic prediction in informetrics
  • Text mining with the Stanford CoreNLP
  • Topic modeling: Measuring scholarly impact using a topical lens
  • The substantive and practical significance of citation impact differences between institutions: Guidelines for the analysis of percentiles using effect sizes and confidence intervals
  • Visualizing bibliometric networks
  • Replicable science of science studies.