| 期刊全稱 | Analysis and Visualization of Citation Networks | | 影響因子2023 | Dangzhi Zhao,Andreas Strotmann | | 視頻video | http://file.papertrans.cn/157/156290/156290.mp4 | | 學(xué)科分類 | Synthesis Lectures on Information Concepts, Retrieval, and Services | | 圖書封面 |  | | 影響因子 | 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. This book critically examines both theory and practical techniques of citation network analysis and visualization, one of the two main | | Pindex | Book 2015 |
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