| 书目名称 | Temporal Network Theory | | 编辑 | Petter Holme,Jari Saramäki | | 视频video | | | 概述 | Highlights recent developments in the interface with machine learning.Covers all trending theoretical topics.Contains contributions gathered from the top international researchers in the field | | 丛书名称 | Computational Social Sciences | | 图书封面 |  | | 描述 | .This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for epidemic modeling, optimization of transportation and logistics, as well as understanding biological phenomena...Over the past 20 years, network theory has proven to be one of the most powerful tools for studying and analyzing complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the “big data” sets. This book appeals to students, researchers, and professionals interested in theory and temporal networks—a field that has grown tremendously over the last decade...This second edition of Temporal NetworkTheory extends the first with three chapters highlighting recent developments in the interface with machine learning.. | | 出版日期 | Book 2023Latest edition | | 关键词 | time series analysis; computational social science; computational neuroscience; big data and network th | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-031-30399-9 | | isbn_softcover | 978-3-031-30401-9 | | isbn_ebook | 978-3-031-30399-9Series ISSN 2509-9574 Series E-ISSN 2509-9582 | | issn_series | 2509-9574 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:40:45
