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Community Detection and Visualization of Networks with the Map Equation Framework
(Integrated Science Lab)
(Integrated Science Lab)
(Integrated Science Lab)
(Integrated Science Lab)
2014 (English)In: Measuring Scholarly Impact: Methods and Practice / [ed] Ying Ding, Ronald Rousseau, Dietmar Wolfram, Springer, 2014Chapter in book (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2014.
National Category
Engineering and Technology Natural Sciences
Identifiers
URN: urn:nbn:se:umu:diva-128855DOI: 10.1007/978-3-319-10377-8ISBN: 978-3-319-10376-1 (print)OAI: oai:DiVA.org:umu-128855DiVA: diva2:1057098
Available from: 2016-12-16 Created: 2016-12-16 Last updated: 2016-12-16

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