FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2792353048> ?p ?o ?g. }

• W2792353048 endingPage "1651" @default.
• W2792353048 startingPage "1638" @default.
• W2792353048 abstract "Community discovery plays an essential role in the analysis of the structural features of complex networks. Since online networks grow increasingly large and complex over time, the methods traditionally used for community discovery cannot efficiently handle large-scale network data. This introduces the important problem of how to effectively and efficiently discover large communities from complex networks. In this study, we propose a fast parallel community discovery model called picaso (a parallel community discovery algorithm based on approximate optimization), which integrates two new techniques: (1) Mountain model, which works by utilizing graph theory to approximate the selection of nodes needed for merging, and (2) Landslide algorithm, which is used to update the modularity increment based on the approximated optimization. In addition, the GraphX distribution computing framework is employed in order to achieve parallel community detection over complex networks. In the proposed model, clustering on modularity is used to initialize the Mountain model as well as to compute the weight of each edge in the networks. The relationships among the communities are then simplified by applying the Landslide algorithm, which allows us to obtain the community structures of the complex networks. Extensive experiments were conducted on real and synthetic complex network datasets, and the results demonstrate that the proposed algorithm can outperform the state of the art methods, in effectiveness and efficiency, when working to solve the problem of community detection. Moreover, we demonstratively prove that overall time performance approximates to four times faster than similar approaches. Effectively our results suggest a new paradigm for large-scale community discovery of complex networks." @default.
• W2792353048 created "2018-03-29" @default.
• W2792353048 creator A5006238145 @default.
• W2792353048 creator A5007928773 @default.
• W2792353048 creator A5070014390 @default.
• W2792353048 creator A5074090518 @default.
• W2792353048 creator A5079650655 @default.
• W2792353048 creator A5080738591 @default.
• W2792353048 creator A5083517710 @default.
• W2792353048 creator A5089162573 @default.
• W2792353048 date "2018-09-01" @default.
• W2792353048 modified "2023-10-16" @default.
• W2792353048 title "A Fast Parallel Community Discovery Model on Complex Networks Through Approximate Optimization" @default.
• W2792353048 cites W1817993605 @default.
• W2792353048 cites W1918275453 @default.
• W2792353048 cites W1965213883 @default.
• W2792353048 cites W1966846029 @default.
• W2792353048 cites W1974269546 @default.
• W2792353048 cites W1987515125 @default.
• W2792353048 cites W1989788024 @default.
• W2792353048 cites W1992613305 @default.
• W2792353048 cites W2006632029 @default.
• W2792353048 cites W2056897951 @default.
• W2792353048 cites W2064868640 @default.
• W2792353048 cites W2089458547 @default.
• W2792353048 cites W2095072199 @default.
• W2792353048 cites W2095189226 @default.
• W2792353048 cites W2095293504 @default.
• W2792353048 cites W2137962371 @default.
• W2792353048 cites W2148606196 @default.
• W2792353048 cites W2194873357 @default.
• W2792353048 cites W2207622687 @default.
• W2792353048 cites W2212315060 @default.
• W2792353048 cites W2247411266 @default.
• W2792353048 cites W2252355162 @default.
• W2792353048 cites W2261880110 @default.
• W2792353048 cites W2338082078 @default.
• W2792353048 cites W2469279958 @default.
• W2792353048 cites W2591291103 @default.
• W2792353048 cites W2614270461 @default.
• W2792353048 cites W2615250859 @default.
• W2792353048 cites W2963806858 @default.
• W2792353048 cites W4238452917 @default.
• W2792353048 doi "https://doi.org/10.1109/tkde.2018.2803818" @default.
• W2792353048 hasPublicationYear "2018" @default.
• W2792353048 type Work @default.
• W2792353048 sameAs 2792353048 @default.
• W2792353048 citedByCount "48" @default.
• W2792353048 countsByYear W27923530482018 @default.
• W2792353048 countsByYear W27923530482019 @default.
• W2792353048 countsByYear W27923530482020 @default.
• W2792353048 countsByYear W27923530482021 @default.
• W2792353048 countsByYear W27923530482022 @default.
• W2792353048 countsByYear W27923530482023 @default.
• W2792353048 crossrefType "journal-article" @default.
• W2792353048 hasAuthorship W2792353048A5006238145 @default.
• W2792353048 hasAuthorship W2792353048A5007928773 @default.
• W2792353048 hasAuthorship W2792353048A5070014390 @default.
• W2792353048 hasAuthorship W2792353048A5074090518 @default.
• W2792353048 hasAuthorship W2792353048A5079650655 @default.
• W2792353048 hasAuthorship W2792353048A5080738591 @default.
• W2792353048 hasAuthorship W2792353048A5083517710 @default.
• W2792353048 hasAuthorship W2792353048A5089162573 @default.
• W2792353048 hasConcept C114614502 @default.
• W2792353048 hasConcept C124101348 @default.
• W2792353048 hasConcept C133079900 @default.
• W2792353048 hasConcept C136764020 @default.
• W2792353048 hasConcept C154945302 @default.
• W2792353048 hasConcept C162307627 @default.
• W2792353048 hasConcept C2779478453 @default.
• W2792353048 hasConcept C33923547 @default.
• W2792353048 hasConcept C34947359 @default.
• W2792353048 hasConcept C41008148 @default.
• W2792353048 hasConcept C54355233 @default.
• W2792353048 hasConcept C73555534 @default.
• W2792353048 hasConcept C80444323 @default.
• W2792353048 hasConcept C86803240 @default.
• W2792353048 hasConceptScore W2792353048C114614502 @default.
• W2792353048 hasConceptScore W2792353048C124101348 @default.
• W2792353048 hasConceptScore W2792353048C133079900 @default.
• W2792353048 hasConceptScore W2792353048C136764020 @default.
• W2792353048 hasConceptScore W2792353048C154945302 @default.
• W2792353048 hasConceptScore W2792353048C162307627 @default.
• W2792353048 hasConceptScore W2792353048C2779478453 @default.
• W2792353048 hasConceptScore W2792353048C33923547 @default.
• W2792353048 hasConceptScore W2792353048C34947359 @default.
• W2792353048 hasConceptScore W2792353048C41008148 @default.
• W2792353048 hasConceptScore W2792353048C54355233 @default.
• W2792353048 hasConceptScore W2792353048C73555534 @default.
• W2792353048 hasConceptScore W2792353048C80444323 @default.
• W2792353048 hasConceptScore W2792353048C86803240 @default.
• W2792353048 hasFunder F4320321001 @default.
• W2792353048 hasIssue "9" @default.
• W2792353048 hasLocation W27923530481 @default.
• W2792353048 hasOpenAccess W2792353048 @default.
• W2792353048 hasPrimaryLocation W27923530481 @default.
• W2792353048 hasRelatedWork W1985625141 @default.
• W2792353048 hasRelatedWork W2011882979 @default.

• next