[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Chen et al., 2019 - Google Patents

A new genetic algorithm for community detection using matrix representation method

Chen et al., 2019

Document ID
2528523716936644242
Author
Chen K
Bi W
Publication year
Publication venue
Physica A: Statistical Mechanics and its Applications

External Links

Snippet

Community structures contain important information of social networks. In most applications, mining community structures would be helpful for people to analyze networks. Typically, genetic algorithm is an effective approach to detect communities. At present, there are two …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30587Details of specialised database models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/12Computer systems based on biological models using genetic models
    • G06N3/126Genetic algorithms, i.e. information processing using digital simulations of the genetic system
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30943Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
    • G06F17/30946Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models

Similar Documents

Publication Publication Date Title
Amiri et al. Community detection in complex networks: Multi–objective enhanced firefly algorithm
Rahimi et al. A multi-objective particle swarm optimization algorithm for community detection in complex networks
Shang et al. Community detection based on modularity and an improved genetic algorithm
Žalik et al. Memetic algorithm using node entropy and partition entropy for community detection in networks
Li et al. Fast and accurate mining the community structure: integrating center locating and membership optimization
Chen et al. A new genetic algorithm for community detection using matrix representation method
Gong et al. Community detection in networks by using multiobjective evolutionary algorithm with decomposition
Derr et al. Signed network modeling based on structural balance theory
Bilal et al. Evolutionary algorithm and modularity for detecting communities in networks
Gong et al. Identification of multi-resolution network structures with multi-objective immune algorithm
Mu et al. Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks
Naeni et al. MA-Net: A reliable memetic algorithm for community detection by modularity optimization
Hafez et al. Networks community detection using artificial bee colony swarm optimization
Jing et al. Community detection in sparse networks using the symmetrized laplacian inverse matrix (slim)
Sun et al. Complete graph model for community detection
Rizman Žalik Evolution algorithm for community detection in social networks using node centrality
Laassem et al. Label propagation algorithm for community detection based on Coulomb’s law
Ghaffaripour et al. A multi-objective genetic algorithm for community detection in weighted networks
Rinke et al. A scalable algorithm for simulating the structural plasticity of the brain
Zhou et al. An overlapping community detection algorithm in complex networks based on information theory
Liu et al. Genetic algorithm optimizing modularity for community detection in complex networks
Schwarz et al. A problem knowledge-based evolutionary algorithm KBOA for hypergraph bisectioning
Policastro et al. ROBustness In Network (robin): an R package for comparison and validation of communities
Jaleel et al. Path to stochastic stability: Comparative analysis of stochastic learning dynamics in games
Ellouze Social Network Community Detection by Combining Self‐Organizing Maps and Genetic Algorithms