Matches in SemOpenAlex for { <https://semopenalex.org/work/W2343284552> ?p ?o ?g. }
Showing items 1 to 59 of
59
with 100 items per page.
- W2343284552 abstract "Massive networks have shown that the determination of dense subgraphs, where vertices interact a lot, is necessary in order to visualize groups of common interest, and therefore be able to decompose a big graph into smaller structures. Many decompositions have been built over the years as part of research in the graph mining field, and the topic is becoming a trend in the last decade because of the increasing size of social networks and databases. Here, we analyse some of the decompositions methods and also present a novel one, the Vertex Triangle k-core. We then compare them and test them against each other. Moreover, we establish different kind of measures for comparing the accuracy of the decomposition methods. We apply these decompositions to real world graphs, like the Collaboration network of arXiv graph, and found some interesting results." @default.
- W2343284552 created "2016-06-24" @default.
- W2343284552 creator A5015730941 @default.
- W2343284552 creator A5060637356 @default.
- W2343284552 date "2016-04-28" @default.
- W2343284552 modified "2023-09-27" @default.
- W2343284552 title "Graph Decompositions Analysis and Comparison for Cohesive Subgraphs Detection." @default.
- W2343284552 cites W1676999057 @default.
- W2343284552 hasPublicationYear "2016" @default.
- W2343284552 type Work @default.
- W2343284552 sameAs 2343284552 @default.
- W2343284552 citedByCount "1" @default.
- W2343284552 countsByYear W23432845522021 @default.
- W2343284552 crossrefType "posted-content" @default.
- W2343284552 hasAuthorship W2343284552A5015730941 @default.
- W2343284552 hasAuthorship W2343284552A5060637356 @default.
- W2343284552 hasConcept C106937863 @default.
- W2343284552 hasConcept C119599485 @default.
- W2343284552 hasConcept C127413603 @default.
- W2343284552 hasConcept C132525143 @default.
- W2343284552 hasConcept C32946077 @default.
- W2343284552 hasConcept C41008148 @default.
- W2343284552 hasConcept C80444323 @default.
- W2343284552 hasConcept C80899671 @default.
- W2343284552 hasConceptScore W2343284552C106937863 @default.
- W2343284552 hasConceptScore W2343284552C119599485 @default.
- W2343284552 hasConceptScore W2343284552C127413603 @default.
- W2343284552 hasConceptScore W2343284552C132525143 @default.
- W2343284552 hasConceptScore W2343284552C32946077 @default.
- W2343284552 hasConceptScore W2343284552C41008148 @default.
- W2343284552 hasConceptScore W2343284552C80444323 @default.
- W2343284552 hasConceptScore W2343284552C80899671 @default.
- W2343284552 hasLocation W23432845521 @default.
- W2343284552 hasOpenAccess W2343284552 @default.
- W2343284552 hasPrimaryLocation W23432845521 @default.
- W2343284552 hasRelatedWork W1753373459 @default.
- W2343284552 hasRelatedWork W2037012153 @default.
- W2343284552 hasRelatedWork W2153250079 @default.
- W2343284552 hasRelatedWork W2157759636 @default.
- W2343284552 hasRelatedWork W2199530723 @default.
- W2343284552 hasRelatedWork W2210954309 @default.
- W2343284552 hasRelatedWork W2343820143 @default.
- W2343284552 hasRelatedWork W2395693708 @default.
- W2343284552 hasRelatedWork W2596302222 @default.
- W2343284552 hasRelatedWork W2743049166 @default.
- W2343284552 hasRelatedWork W2803654897 @default.
- W2343284552 hasRelatedWork W2889160049 @default.
- W2343284552 hasRelatedWork W2934102159 @default.
- W2343284552 hasRelatedWork W2950884682 @default.
- W2343284552 hasRelatedWork W2951770249 @default.
- W2343284552 hasRelatedWork W3134854638 @default.
- W2343284552 hasRelatedWork W3150163859 @default.
- W2343284552 hasRelatedWork W3166805898 @default.
- W2343284552 hasRelatedWork W47316739 @default.
- W2343284552 hasRelatedWork W1815471056 @default.
- W2343284552 isParatext "false" @default.
- W2343284552 isRetracted "false" @default.
- W2343284552 magId "2343284552" @default.
- W2343284552 workType "article" @default.