標(biāo)題: Titlebook: Computational Intelligence for Network Structure Analytics; Maoguo Gong,Qing Cai,Yu Lei Book 2017 Springer Nature Singapore Pte Ltd. 2017 [打印本頁(yè)] 作者: 阿諛?lè)畛?nbsp; 時(shí)間: 2025-3-21 20:09
書(shū)目名稱(chēng)Computational Intelligence for Network Structure Analytics影響因子(影響力)
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書(shū)目名稱(chēng)Computational Intelligence for Network Structure Analytics讀者反饋
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作者: FRAUD 時(shí)間: 2025-3-21 23:48
978-981-13-5167-9Springer Nature Singapore Pte Ltd. 2017作者: 使絕緣 時(shí)間: 2025-3-22 02:02
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作者: Expressly 時(shí)間: 2025-3-22 06:35 作者: GROUP 時(shí)間: 2025-3-22 10:03
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作者: 名字 時(shí)間: 2025-3-22 14:23
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作者: 名字 時(shí)間: 2025-3-22 17:24
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作者: STING 時(shí)間: 2025-3-23 01:07
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作者: Control-Group 時(shí)間: 2025-3-23 04:02 作者: musicologist 時(shí)間: 2025-3-23 06:45
Johan J?rgen 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作者: bizarre 時(shí)間: 2025-3-23 11:53
SIMUS Applied to Quantify SWOT Strategiese concepts of complex networks and the emerging topics concerning network structure analytics as well as some basic optimization models of these network structure analytics issues. Besides the addressed topics introduced in previous chapters, there are many other network structure analytics topics, 作者: Genteel 時(shí)間: 2025-3-23 16:44
Computational Intelligence for Network Structure Analytics作者: grandiose 時(shí)間: 2025-3-23 21:34
Computational Intelligence for Network Structure Analytics978-981-10-4558-5作者: FLASK 時(shí)間: 2025-3-24 01:22 作者: Hemoptysis 時(shí)間: 2025-3-24 05:06
Book 2017tudy 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作者: GUILE 時(shí)間: 2025-3-24 09:54
tice, addressing seminal research ideas and examining the teThis 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 pro作者: 情感 時(shí)間: 2025-3-24 14:31 作者: Tracheotomy 時(shí)間: 2025-3-24 18:49 作者: 油氈 時(shí)間: 2025-3-24 20:49
Concluding Remarks,such as network construction, information backbone mining, structure analytics of large-scale networks, etc. These topics can also be formulated as optimization problems and may be well solved by computational intelligence methods. In this chapter, we will give several future research directions that we are working on.作者: 座右銘 時(shí)間: 2025-3-24 23:48
East-West Security during the 1960s and 70srks. This chapter focuses on evolutionary single-objective algorithms for solving network community discovery. First this chapter reviews evolutionary single-objective algorithm for network community discovery. Then three representative algorithms and their performances of discovering communities are introduced in detail.作者: 自制 時(shí)間: 2025-3-25 06:00 作者: Expertise 時(shí)間: 2025-3-25 09:11
Johan J?rgen Holst and Arms Controlst, an evolutionary multiobjective algorithm is used for recommendation. And then, a memetic algorithm for influence maximization is introduced. Finally, a memetic algorithm for global biological network alignment is presented.作者: needle 時(shí)間: 2025-3-25 11:44
Network Community Discovery with Evolutionary Single-Objective Optimization,rks. This chapter focuses on evolutionary single-objective algorithms for solving network community discovery. First this chapter reviews evolutionary single-objective algorithm for network community discovery. Then three representative algorithms and their performances of discovering communities are introduced in detail.作者: chisel 時(shí)間: 2025-3-25 17:30
Network Community Discovery with Evolutionary Multi-objective Optimization,ity detection based multi-objective optimization problems. Among the four algorithms, three algorithms adopt the framework of MOEA/D, MODPSO, and NNIA to detect multi-resolution communities in undirected and static networks, and an algorithm uses the framework of MOEA/D to detect multi-resolution communities in dynamic networks.作者: GLARE 時(shí)間: 2025-3-25 21:45
Real-World Cases of Network Structure Analytics,st, an evolutionary multiobjective algorithm is used for recommendation. And then, a memetic algorithm for influence maximization is introduced. Finally, a memetic algorithm for global biological network alignment is presented.作者: ARENA 時(shí)間: 2025-3-26 02:41 作者: Femish 時(shí)間: 2025-3-26 07:06
SIMUS Applied to Quantify SWOT Strategiessuch as network construction, information backbone mining, structure analytics of large-scale networks, etc. These topics can also be formulated as optimization problems and may be well solved by computational intelligence methods. In this chapter, we will give several future research directions that we are working on.作者: Vertical 時(shí)間: 2025-3-26 11:29
A Comment on the Palme Commission Reportn are introduced. Next, a multilevel learning based memetic algorithm for the balance computation and the balance transformation of signed networks in a weak definition are presented. Finally, a two-step method based on evolutionary multi-objective optimization for weak structure balance are presented.作者: Tincture 時(shí)間: 2025-3-26 13:35 作者: SEVER 時(shí)間: 2025-3-26 17:16
Network Structure Balance Analytics with Evolutionary Optimization,n are introduced. Next, a multilevel learning based memetic algorithm for the balance computation and the balance transformation of signed networks in a weak definition are presented. Finally, a two-step method based on evolutionary multi-objective optimization for weak structure balance are presented.作者: fodlder 時(shí)間: 2025-3-27 00:23 作者: Glower 時(shí)間: 2025-3-27 02:15 作者: 谷類(lèi) 時(shí)間: 2025-3-27 08:43
Network Community Discovery with Evolutionary Single-Objective Optimization,ut 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作者: commodity 時(shí)間: 2025-3-27 12:38 作者: 難解 時(shí)間: 2025-3-27 16:52 作者: Fresco 時(shí)間: 2025-3-27 19:25 作者: 起波瀾 時(shí)間: 2025-3-27 22:34 作者: 送秋波 時(shí)間: 2025-3-28 05:04
Concluding Remarks,e concepts of complex networks and the emerging topics concerning network structure analytics as well as some basic optimization models of these network structure analytics issues. Besides the addressed topics introduced in previous chapters, there are many other network structure analytics topics,
