{"product_id":"predicting-the-dynamics-of-research-yannis-manolopoulos-9783030866679","title":"Predicting the Dynamics of Research Impact","description":"\u003cp\u003eThis book provides its readers with an introduction to interesting prediction and science dynamics problems in the field of Science of Science. Prediction\u003ci\u003e \u003c\/i\u003efocuses 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. \u003c\/p\u003e \u003cp\u003eThe 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 heterogeneous and interconnected data, where the analysis of research topic trends and their evolution has always played a key role in impact prediction approaches and quantitative analyses in the field of bibliometrics. Each chapter can be read independently, since it includes a detailed description of the problem being investigated along with a thorough discussion and study of the respective state-of-the-art. \u003c\/p\u003e Due to the cross-disciplinary character of the Science of Science field, the book may be useful to interested readers from a variety of disciplines like information science, information retrieval, network science, informetrics, scientometrics, and machine learning, to name a few. The profiles of the readers may also be diverse ranging from researchers and professors inthe respective fields to students and developers being curious about the covered subjects.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Yannis Manolopoulos\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 303086667X\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9783030866679\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Springer\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/23\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 290\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.35lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.75d","brand":"Yannis Manolopoulos","offers":[{"title":"Hardcover","offer_id":43945555984639,"sku":"9783030866679","price":199.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/products\/img_2cd0300e-b546-4d5e-8f8c-a6c4f2814717.jpg?v=1681508828","url":"https:\/\/www.whiterainbookhouse.com\/products\/predicting-the-dynamics-of-research-yannis-manolopoulos-9783030866679","provider":"WR Book House","version":"1.0","type":"link"}