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Titlebook: Complex Networks & Their Applications V; Proceedings of the Hocine Cherifi,Sabrina Gaito,Alessandra Sala Conference proceedings 2017 Spri

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发表于 2025-3-21 19:31:20 | 显示全部楼层 |阅读模式
书目名称Complex Networks & Their Applications V
副标题Proceedings of the
编辑Hocine Cherifi,Sabrina Gaito,Alessandra Sala
视频video
概述Presents recent research in Complex Networks and their Applications.Gathers the edited proceedings of the fifth International Workshop on Complex Networks & their Applications (COMPLEX NETWORKS 2016)
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Complex Networks & Their Applications V; Proceedings of  the  Hocine Cherifi,Sabrina Gaito,Alessandra Sala Conference proceedings 2017 Spri
描述.This book highlights cutting-edge research in the field of network science, offering scientists, researchers and graduate students a unique opportunity to catch up on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the fifth International Workshop on Complex Networks & their Applications (COMPLEX NETWORKS 2016), which took place in Milan during the last week of November 2016. The carefully selected papers are divided into 11 sections reflecting the diversity and richness of research areas in the field. More specifically, the following topics are covered: Network models; Network measures; Community structure; Network dynamics; Diffusion, epidemics and spreading processes; Resilience and control; Network visualization; Social and political networks; Networks in finance and economics; Biological and ecological networks; and Network analysis..
出版日期Conference proceedings 2017
关键词Statphys26; Complex Networks; Complex Networks 2016; 5th International Workshop on Complex Networks; Net
版次1
doihttps://doi.org/10.1007/978-3-319-50901-3
isbn_softcover978-3-319-84517-3
isbn_ebook978-3-319-50901-3Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing AG, part of Springer Nature 2017
The information of publication is updating

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,Eröffnungsworte zum Josef-Stini-Kolloquium,op a metric to test for similarity between an inferred network and the true network. Our method uses the eigenvalues of the adjacency matrix and of the . at each step of the network discovery to decide on the comparison to the ground truth. We consider synthetic networks and real terrorist networks for our analysis.
发表于 2025-3-22 01:01:22 | 显示全部楼层
Hocine Cherifi,Sabrina Gaito,Alessandra SalaPresents recent research in Complex Networks and their Applications.Gathers the edited proceedings of the fifth International Workshop on Complex Networks & their Applications (COMPLEX NETWORKS 2016)
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Studies in Computational Intelligencehttp://image.papertrans.cn/c/image/231484.jpg
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Graph Structure Similarity using Spectral Graph Theoryop a metric to test for similarity between an inferred network and the true network. Our method uses the eigenvalues of the adjacency matrix and of the . at each step of the network discovery to decide on the comparison to the ground truth. We consider synthetic networks and real terrorist networks for our analysis.
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Center manifolds in Banach spacesmental aspect. As the topological structure of the network changes over time, it is a challenging task to design a communication system having ability to respond to randomly changing traffic. We are interested to find out the suitable and fair traffic flow rates to each system for getting optimal sy
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