Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387484597> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4387484597 endingPage "107872" @default.
- W4387484597 startingPage "107872" @default.
- W4387484597 abstract "Higher-order structures of networks, namely, small subgraphs of networks (also called network motifs), are widely known to be crucial and essential to the organization of networks. Several works have studied the community detection problem–a fundamental problem in network analysis at the level of motifs. In particular, the higher-order spectral clustering has been developed, where the notion of motif adjacency matrix is introduced as the algorithm's input. However, how the higher-order spectral clustering works and when it performs better than its edge-based counterpart remain largely unknown. To elucidate these problems, the higher-order spectral clustering is investigated from a statistical perspective. The clustering performance of the higher-order spectral clustering is theoretically studied under a weighted stochastic block model, and the resulting bounds are compared with the corresponding results of the edge-based spectral clustering. The upper bounds and simulations show that when the network is dense and the edge weights have a weak signal, higher-order spectral clustering can lead to a performance gain in clustering. Real data experiments also corroborate the merits of higher-order spectral clustering." @default.
- W4387484597 created "2023-10-11" @default.
- W4387484597 creator A5051850734 @default.
- W4387484597 creator A5068724396 @default.
- W4387484597 creator A5087565242 @default.
- W4387484597 date "2023-10-01" @default.
- W4387484597 modified "2023-10-16" @default.
- W4387484597 title "On the efficacy of higher-order spectral clustering under weighted stochastic block models" @default.
- W4387484597 cites W1966638085 @default.
- W4387484597 cites W1970377488 @default.
- W4387484597 cites W2047940964 @default.
- W4387484597 cites W2060616833 @default.
- W4387484597 cites W2081746825 @default.
- W4387484597 cites W2102260665 @default.
- W4387484597 cites W2102907934 @default.
- W4387484597 cites W2132555912 @default.
- W4387484597 cites W2132914434 @default.
- W4387484597 cites W2151936673 @default.
- W4387484597 cites W2153107964 @default.
- W4387484597 cites W2153624566 @default.
- W4387484597 cites W2157547297 @default.
- W4387484597 cites W2470861207 @default.
- W4387484597 cites W2766743208 @default.
- W4387484597 cites W2888391702 @default.
- W4387484597 cites W2937019359 @default.
- W4387484597 cites W2963268509 @default.
- W4387484597 cites W2964179623 @default.
- W4387484597 cites W3003916954 @default.
- W4387484597 cites W3006912604 @default.
- W4387484597 cites W3008216405 @default.
- W4387484597 cites W3015166416 @default.
- W4387484597 cites W3100144903 @default.
- W4387484597 cites W3100252270 @default.
- W4387484597 cites W3100526240 @default.
- W4387484597 cites W3100754310 @default.
- W4387484597 cites W3101685104 @default.
- W4387484597 cites W3104227803 @default.
- W4387484597 cites W3105437875 @default.
- W4387484597 cites W4243880374 @default.
- W4387484597 doi "https://doi.org/10.1016/j.csda.2023.107872" @default.
- W4387484597 hasPublicationYear "2023" @default.
- W4387484597 type Work @default.
- W4387484597 citedByCount "0" @default.
- W4387484597 crossrefType "journal-article" @default.
- W4387484597 hasAuthorship W4387484597A5051850734 @default.
- W4387484597 hasAuthorship W4387484597A5068724396 @default.
- W4387484597 hasAuthorship W4387484597A5087565242 @default.
- W4387484597 hasConcept C105611402 @default.
- W4387484597 hasConcept C105795698 @default.
- W4387484597 hasConcept C11413529 @default.
- W4387484597 hasConcept C114614502 @default.
- W4387484597 hasConcept C124101348 @default.
- W4387484597 hasConcept C132525143 @default.
- W4387484597 hasConcept C153180895 @default.
- W4387484597 hasConcept C154945302 @default.
- W4387484597 hasConcept C17212007 @default.
- W4387484597 hasConcept C180356752 @default.
- W4387484597 hasConcept C2779982251 @default.
- W4387484597 hasConcept C33704608 @default.
- W4387484597 hasConcept C33923547 @default.
- W4387484597 hasConcept C41008148 @default.
- W4387484597 hasConcept C73555534 @default.
- W4387484597 hasConcept C94641424 @default.
- W4387484597 hasConceptScore W4387484597C105611402 @default.
- W4387484597 hasConceptScore W4387484597C105795698 @default.
- W4387484597 hasConceptScore W4387484597C11413529 @default.
- W4387484597 hasConceptScore W4387484597C114614502 @default.
- W4387484597 hasConceptScore W4387484597C124101348 @default.
- W4387484597 hasConceptScore W4387484597C132525143 @default.
- W4387484597 hasConceptScore W4387484597C153180895 @default.
- W4387484597 hasConceptScore W4387484597C154945302 @default.
- W4387484597 hasConceptScore W4387484597C17212007 @default.
- W4387484597 hasConceptScore W4387484597C180356752 @default.
- W4387484597 hasConceptScore W4387484597C2779982251 @default.
- W4387484597 hasConceptScore W4387484597C33704608 @default.
- W4387484597 hasConceptScore W4387484597C33923547 @default.
- W4387484597 hasConceptScore W4387484597C41008148 @default.
- W4387484597 hasConceptScore W4387484597C73555534 @default.
- W4387484597 hasConceptScore W4387484597C94641424 @default.
- W4387484597 hasLocation W43874845971 @default.
- W4387484597 hasOpenAccess W4387484597 @default.
- W4387484597 hasPrimaryLocation W43874845971 @default.
- W4387484597 hasRelatedWork W1979094538 @default.
- W4387484597 hasRelatedWork W2024514015 @default.
- W4387484597 hasRelatedWork W2125464731 @default.
- W4387484597 hasRelatedWork W2134448697 @default.
- W4387484597 hasRelatedWork W2272768744 @default.
- W4387484597 hasRelatedWork W2287240295 @default.
- W4387484597 hasRelatedWork W2951132354 @default.
- W4387484597 hasRelatedWork W3017750840 @default.
- W4387484597 hasRelatedWork W3161541212 @default.
- W4387484597 hasRelatedWork W3168808485 @default.
- W4387484597 isParatext "false" @default.
- W4387484597 isRetracted "false" @default.
- W4387484597 workType "article" @default.