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Titlebook: Computational Intelligence for Network Structure Analytics; Maoguo Gong,Qing Cai,Yu Lei Book 2017 Springer Nature Singapore Pte Ltd. 2017

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发表于 2025-3-21 20:09:16 | 显示全部楼层 |阅读模式
书目名称Computational Intelligence for Network Structure Analytics
编辑Maoguo Gong,Qing Cai,Yu Lei
视频videohttp://file.papertrans.cn/233/232456/232456.mp4
概述Provides a holistic view of complex network structure analytics based on computational intelligence.Includes a rich blend of theory and practice, addressing seminal research ideas and examining the te
图书封面Titlebook: Computational Intelligence for Network Structure Analytics;  Maoguo Gong,Qing Cai,Yu Lei Book 2017 Springer Nature Singapore Pte Ltd. 2017
描述This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques.  Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI’s scope and applications..As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness ana
出版日期Book 2017
关键词Complex Network; Network Structure Analytics; Evolutionary Optimization; Multi-objective Optimization; N
版次1
doihttps://doi.org/10.1007/978-981-10-4558-5
isbn_softcover978-981-13-5167-9
isbn_ebook978-981-10-4558-5
copyrightSpringer Nature Singapore Pte Ltd. 2017
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发表于 2025-3-21 23:48:20 | 显示全部楼层
978-981-13-5167-9Springer Nature Singapore Pte Ltd. 2017
发表于 2025-3-22 02:02:02 | 显示全部楼层
Maoguo Gong,Qing Cai,Yu LeiProvides a holistic view of complex network structure analytics based on computational intelligence.Includes a rich blend of theory and practice, addressing seminal research ideas and examining the te
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European Security after Maastrichtrk. Many issues in network structure analytics, for example, community detection, structure balance, and influence maximization, can be formulated as optimization problems. These problems usually are NP-hard and nonconvex, and generally cannot be well solved by canonical optimization techniques. Com
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East-West Security during the 1960s and 70sut forward, network community detection is formulated as a single-objective optimization problem and then communities of network can be discovered by optimizing modularity or modularity density. However, the community detection by optimizing modularity or modularity density is NP-hard. The computati
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A Comment on the Palme Commission Reportlt for single-objective optimization algorithms to reveal community structures at multiple resolution levels. The multi-resolution communities can effectively reflect the hierarchical structures of complex networks. In this chapter, we model the multi-resolution community detection problems as multi
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A Comment on the Palme Commission Reportsformation have attracted increasing attention in recent years. The balance computation aims at evaluating the distance from an unbalanced network to a balanced one, and the balance transformation is to convert an unbalanced network into a balanced one. This chapter focuses on evolutionary algorithm
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Johan Jørgen Holst and Arms Controlximization etc. are also NP-hard problems, and they can be modeled as optimization problems. Computational intelligence algorithms, especially evolutionary algorithms, have been successfully employed to these network structure analytics topics. In this chapter, we will present how to use computation
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