Normal view MARC view ISBD view

Analysis and visualization of citation networks

By: Zhao, Dangzhi.
Contributor(s): Strotmann, Andreas.
Publisher: San Rafael Morgan & Claypool 2015Description: xvii, 189 p. ill. 24 cm.ISBN: 9781608459384.Subject(s): Data processing | Citation of electronic information resources | citation network analysis | citation data sources | disambiguation in citation analysis | visualization of citation networks | co-citation analysis | bibliographic coupling analysis | Bibliographic coupling | Bibliometrics | Citation counts | Cited referencs | CiteSeer | Cluster analysi | Scopus | Factor analysis | Field delineation | Impact Factor | Scientometics | Webmetrics | Disambignation | ISI DatabaseDDC classification: 025.4​70285574 Summary: Citation analysis the exploration of reference patterns in the scholarly and scientific literature has long been applied in a number of social sciences to study research impact, knowledge flows, and knowledge networks. It has important information science applications as well, particularly in knowledge representation and in information retrieval. Recent years have seen a burgeoning interest in citation analysis to help address research, management, or information service issues such as university rankings, research evaluation, or knowledge domain visualization. This renewed and growing interest stems from significant improvements in the availability and accessibility of digital bibliographic data (both citation and full text) and of relevant computer technologies. The former provides large amounts of data and the latter the necessary tools for researchers to conduct new types of large-scale citation analysis, even without special access to special data collections. Exciting new developments are emerging this way in many aspects of citation analysis.
Tags from this library: No tags from this library for this title. Log in to add tags.

Includes bibliographical references.

Citation analysis
the exploration of reference patterns in the scholarly and scientific literature has long been applied in a number of social sciences to study research impact, knowledge flows, and knowledge networks. It has important information science applications as well, particularly in knowledge representation and in information retrieval. Recent years have seen a burgeoning interest in citation analysis to help address research, management, or information service issues such as university rankings, research evaluation, or knowledge domain visualization. This renewed and growing interest stems from significant improvements in the availability and accessibility of digital bibliographic data (both citation and full text) and of relevant computer technologies. The former provides large amounts of data and the latter the necessary tools for researchers to conduct new types of large-scale citation analysis, even without special access to special data collections. Exciting new developments are emerging this way in many aspects of citation analysis.

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha