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Titlebook: Network Science; Complexity in Nature Ernesto Estrada,Maria Fox,Gian-Luca Oppo Book 2010 Springer-Verlag London Limited 2010 Natur.Sage.Syn

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發(fā)表于 2025-3-21 18:41:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Network Science
副標(biāo)題Complexity in Nature
編輯Ernesto Estrada,Maria Fox,Gian-Luca Oppo
視頻videohttp://file.papertrans.cn/663/662840/662840.mp4
概述Presents a broad, topical overview of the new and emerging discipline of network science.Provides viewpoints from disciplines as varied as computer science, mathematics, engineering, physics, chemistr
圖書封面Titlebook: Network Science; Complexity in Nature Ernesto Estrada,Maria Fox,Gian-Luca Oppo Book 2010 Springer-Verlag London Limited 2010 Natur.Sage.Syn
描述Network Science is the emerging field concerned with the study of large, realistic networks.This interdisciplinary endeavor, focusing on the patterns of interactions that arise between individual components of natural and engineered systems, has been applied to data sets from activities as diverse as high-throughput biological experiments, online trading information, smart-meter utility supplies, and pervasive telecommunications and surveillance technologies.This unique text/reference provides a fascinating insight into the state of the art in network science, highlighting the commonality across very different areas of application and the ways in which each area can be advanced by injecting ideas and techniques from another.The book includes contributions from an international selection of experts, providing viewpoints from a broad range of disciplines.It emphasizes networks that arise in nature—such as food webs, protein interactions, gene expression, and neural connections—and in technology—such as finance, airline transport, urban development and global trade.Topics and Features: begins with a clear overview chapter to introduce this interdisciplinary field; discusses the classi
出版日期Book 2010
關(guān)鍵詞Natur; Sage; Synchronisation; communication; complex networks; complexity; information; mathematics; algorit
版次1
doihttps://doi.org/10.1007/978-1-84996-396-1
isbn_softcover978-1-4471-6034-2
isbn_ebook978-1-84996-396-1
copyrightSpringer-Verlag London Limited 2010
The information of publication is updating

書目名稱Network Science影響因子(影響力)




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書目名稱Network Science網(wǎng)絡(luò)公開度




書目名稱Network Science網(wǎng)絡(luò)公開度學(xué)科排名




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Resistance Distance, Information Centrality, Node Vulnerability and Vibrations in Complex Networks,e the resistance distance, the information centrality and the node displacement. We first prove various relations among them. Then we focus on the node displacement, showing its usefulness as an index of node vulnerability. We argue that the node displacement has a better resolution as a measure of
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NESSIE: Network Example Source Supporting Innovative Experimentation,ative Experimentation) currently contains 12 specific networks from a diverse range of application areas, with a Scottish emphasis. This collection of data sets is designed to be useful for researchers in network science who wish to evaluate new algorithms, concepts and models. The data sets are ava
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,Networks in Urban Design. Six Years of?Research in?Multiple Centrality Assessment,f urban streets and intersections. This methodology emerged from research initiated some six years ago at Polytechnic of Milan, Italy, and now continuing at University of Strathclyde, Glasgow, through a close partnership and collaboration between scholars in urban planning and design and in the phys
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Dynamics and Statistics of Extreme Events,edly large (or small) values are called extreme events. Since such large deviations from the system’s mean behavior have in many applications huge impact, their statistical characterization and their dynamical origin are of relevance. We discuss recent approaches, with special emphasis on dynamics o
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