Measuring Scholarly Impact Methods and Practice /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ding, Ying (Επιμελητής έκδοσης), Rousseau, Ronald (Επιμελητής έκδοσης), Wolfram, Dietmar (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Θέματα: Computer science.; Data mining.; Information storage and retrieval.; Computers.; Mathematics.; Visualization.; Statistics.; Computer Science.; Information Storage and Retrieval.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.; Data Mining and Knowledge Discovery.; Computing Methodologies.

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...

Πίνακας περιεχομένων:

• 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.