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  • Search: subject:"Modularity density"
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Subject
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Modularisierung 7 Modularity 7 Regional cluster 6 Regionales Cluster 6 Clustering 5 Mathematical programming 5 Mathematische Optimierung 5 Modularity density maximization 5 Theorie 4 Theory 4 Graph theory 3 Graphentheorie 3 Heuristics 3 Heuristik 3 Modularity density 3 Statistical distribution 3 Statistische Verteilung 3 Column generation 2 Community detection 2 Ganzzahlige Optimierung 2 Graph clustering 2 Integer programming 2 Mixed integer linear programming 2 Reformulations 2 Algorithm 1 Algorithmus 1 Branch-and-price 1 Combinatiorial optimization 1 Dense subgraph discovery 1 Heuristic 1 Heuristic Algorithm 1 Large graphs 1 Link prediction 1 MILP 1 Modularity Density Maximization 1 Modularity Maximization 1 Multi-resolution 1 Multilinear terms 1 Multiple cutting planes 1 Reformulation 1
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Undetermined 8
Type of publication
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Article 9
Type of publication (narrower categories)
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Article in journal 7 Aufsatz in Zeitschrift 7
Language
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English 7 Undetermined 2
Author
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Costa, Alberto 3 Lamb, Luís C. 2 Ding, Jingyi 1 Hou, Yunting 1 Izunaga, Yoichi 1 Jiao, Licheng 1 Kushnarev, Sergey 1 Liberti, Leo 1 Miyauchi, Atsushi 1 Pirim, Harun 1 Qi, Yutao 1 Saleh, Zead 1 Santiago, Rafael 1 Santiago, Rafael de 1 Sato, Keisuke 1 Sudeka, Issey 1 Sun, Zeyu 1 Takeda, Akiko 1 Wu, Jianshe 1
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Published in...
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Computers & operations research : and their applications to problems of world concern ; an international journal 4 European journal of operational research : EJOR 3 European Journal of Operational Research 1 Physica A: Statistical Mechanics and its Applications 1
Source
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ECONIS (ZBW) 7 RePEc 2
Showing 1 - 9 of 9
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A study on modularity density maximization : column generation acceleration and computational complexity analysis
Sudeka, Issey; Miyauchi, Atsushi; Takeda, Akiko - In: European journal of operational research : EJOR 309 (2023) 2, pp. 516-528
Persistent link: https://www.econbiz.de/10014291576
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Modified modularity density maximization and density ratio heuristic
Saleh, Zead; Pirim, Harun - In: Computers & operations research : and their … 150 (2023), pp. 1-12
Persistent link: https://www.econbiz.de/10013483688
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An enhanced MILP-based branch-and-price approach to modularity density maximization on graphs
Sato, Keisuke; Izunaga, Yoichi - In: Computers & operations research : and their … 106 (2019), pp. 236-245
Persistent link: https://www.econbiz.de/10012014417
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Efficient modularity density heuristics for large graphs
Santiago, Rafael; Lamb, Luís C. - In: European journal of operational research : EJOR 258 (2017) 3, pp. 844-865
Persistent link: https://www.econbiz.de/10011644491
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Exact computational solution of Modularity Density Maximization by effective column generation
Santiago, Rafael de; Lamb, Luís C. - In: Computers & operations research : and their … 86 (2017), pp. 18-29
Persistent link: https://www.econbiz.de/10011732092
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Divisive heuristic for modularity density maximization
Costa, Alberto; Kushnarev, Sergey; Liberti, Leo; Sun, Zeyu - In: Computers & operations research : and their … 71 (2016), pp. 100-109
Persistent link: https://www.econbiz.de/10011471571
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MILP formulations for the modularity density maximization problem
Costa, Alberto - In: European journal of operational research : EJOR 245 (2015) 1, pp. 14-21
Persistent link: https://www.econbiz.de/10011290743
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MILP formulations for the modularity density maximization problem
Costa, Alberto - In: European Journal of Operational Research 245 (2015) 1, pp. 14-21
this paper we focus on a recent measure, called modularity density, which improves the resolution limit issue of modularity …. The problem of maximizing the modularity density can be described by means of a 0–1 NLP formulation. We derive some …
Persistent link: https://www.econbiz.de/10011264314
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Prediction of missing links based on multi-resolution community division
Ding, Jingyi; Jiao, Licheng; Wu, Jianshe; Hou, Yunting; … - In: Physica A: Statistical Mechanics and its Applications 417 (2015) C, pp. 76-85
The investigation of link prediction in networks is an important issue in many disciplines. The research of prediction algorithms which required short time but high accuracy is still a challenging task. Most of the existing algorithms are based on the topological information of the networks,...
Persistent link: https://www.econbiz.de/10011077860
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