| 书目名称 | Predicting the Dynamics of Research Impact |
| 编辑 | Yannis Manolopoulos,Thanasis Vergoulis |
| 视频video | http://file.papertrans.cn/755/754542/754542.mp4 |
| 概述 | Provides an introduction to prediction and science dynamics problems in the field of Science of Science.Details strength and weaknesses of the state-of-the-art approaches as well as open challenges fo |
| 图书封面 |  |
| 描述 | .This book provides its readers with an introduction to interesting prediction and science dynamics problems in the field of Science of Science. Prediction. .focuses on the forecasting of future performance (or impact) of an entity, either a research article or a scientist, and also the prediction of future links in collaboration networks or identifying missing links in citation networks. ..The single chapters are written in a way that help the reader gain a detailed technical understanding of the corresponding subjects, the strength and weaknesses of the state-of-the-art approaches for each described problem, and the currently open challenges. While chapter 1 provides a useful contribution in the theoretical foundations of the fields of scientometrics and science of science, chapters 2-4 turn the focal point to the study of factors that affect research impact and its dynamics. Chapters 5-7 then focus on article-level measures that quantify the current and future impact of scientific articles. Next, chapters 8-10 investigate subjects relevant to predicting the future impact of individual researchers. Finally, chapters 11-13 focus on science evolution and dynamics, leveraging hetero |
| 出版日期 | Book 2021 |
| 关键词 | Scientometrics; Bibliometrics; Science of Science; Digital Libraries; Information Retrieval; Web Mining; M |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-86668-6 |
| isbn_softcover | 978-3-030-86670-9 |
| isbn_ebook | 978-3-030-86668-6 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手机版|小黑屋|
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