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Measuring Scholarly Impact

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Cover of 'Measuring Scholarly Impact'

Table of Contents

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    Book Overview
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    Chapter 1 Community Detection and Visualization of Networks with the Map Equation Framework
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    Chapter 2 Link Prediction
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    Chapter 3 Network Analysis and Indicators
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    Chapter 4 PageRank-Related Methods for Analyzing Citation Networks
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    Chapter 5 Systems Life Cycle and Its Relation with the Triple Helix
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    Chapter 6 Spatial Scientometrics and Scholarly Impact: A Review of Recent Studies, Tools, and Methods
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    Chapter 7 Researchers’ Publication Patterns and Their Use for Author Disambiguation
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    Chapter 8 Knowledge Integration and Diffusion: Measures and Mapping of Diversity and Coherence
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    Chapter 9 Limited Dependent Variable Models and Probabilistic Prediction in Informetrics
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    Chapter 10 Text Mining with the Stanford CoreNLP
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    Chapter 11 Topic Modeling: Measuring Scholarly Impact Using a Topical Lens
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    Chapter 12 The Substantive and Practical Significance of Citation Impact Differences Between Institutions: Guidelines for the Analysis of Percentiles Using Effect Sizes and Confidence Intervals
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    Chapter 13 Visualizing Bibliometric Networks
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    Chapter 14 Replicable Science of Science Studies
Attention for Chapter 12: The Substantive and Practical Significance of Citation Impact Differences Between Institutions: Guidelines for the Analysis of Percentiles Using Effect Sizes and Confidence Intervals
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