Measuring Scholarly Impact, Softcover reprint of the original 1st ed. 2014 Methods and Practice
Coordonnateurs : Ding Ying, Rousseau Ronald, Wolfram Dietmar
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.
Date de parution : 08-2016
Ouvrage de 346 p.
15.5x23.5 cm
Date de parution : 11-2014
Ouvrage de 346 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 105,49 €
Ajouter au panierThèmes de Measuring Scholarly Impact :
Mots-clés :
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