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Titlebook: Complex Networks VIII; Proceedings of the 8 Bruno Gon?alves,Ronaldo Menezes,Vinko Zlatic Conference proceedings 2017 Springer International

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書(shū)目名稱(chēng)Complex Networks VIII
副標(biāo)題Proceedings of the 8
編輯Bruno Gon?alves,Ronaldo Menezes,Vinko Zlatic
視頻videohttp://file.papertrans.cn/232/231497/231497.mp4
概述Focuses on the interdisciplinary nature of complex-network approach including contributions that span fields from biology to computer sciences, from economics to social sciences.Includes supplementary
叢書(shū)名稱(chēng)Springer Proceedings in Complexity
圖書(shū)封面Titlebook: Complex Networks VIII; Proceedings of the 8 Bruno Gon?alves,Ronaldo Menezes,Vinko Zlatic Conference proceedings 2017 Springer International
描述.This book collects the works presented at the 8th International Conference on Complex Networks (CompleNet) 2017 in Dubrovnik, Croatia, on March 21-24, 2017. CompleNet aims at bringing together researchers and practitioners working in areas related to complex networks. The past two decades has witnessed an exponential increase in the number of publications within this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing...The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure..
出版日期Conference proceedings 2017
關(guān)鍵詞Computational Intelligence; Complex Networks; COMPLENET; Network Science; Conference on Complex Networks
版次1
doihttps://doi.org/10.1007/978-3-319-54241-6
isbn_softcover978-3-319-85350-5
isbn_ebook978-3-319-54241-6Series ISSN 2213-8684 Series E-ISSN 2213-8692
issn_series 2213-8684
copyrightSpringer International Publishing AG, part of Springer Nature 2017
The information of publication is updating

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Network Motifs Detection Using Random Networks with Prescribed Subgraph Frequenciesrequencies on both the original and an ensemble of random networks keeping certain structural properties. The classical null model implies preserving the degree sequence. In this paper our focus is on a richer model that approximately fixes the frequency of subgraphs of size . to compute motifs of s
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Community Detection in Signed Networks Based on Extended Signed Modularityomposed of positive and negative edges. Although community detection in signed networks has been attempted by many researchers, studies for detecting detailed structures remain?to be done. In this paper, we extend modularity for signed networks, and propose a method for optimizing our modularity, wh
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