Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387430311> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W4387430311 endingPage "522" @default.
- W4387430311 startingPage "508" @default.
- W4387430311 abstract "Finding dense subgraphs is a core problem in graph mining with many applications in diverse domains. At the same time many real-world networks vary over time, that is, the dataset can be represented as a sequence of graph snapshots. Hence, it is natural to consider the question of finding dense subgraphs in a temporal network that are allowed to vary over time to a certain degree. In this paper, we search for dense subgraphs that have large pairwise Jaccard similarity coefficients. More formally, given a set of graph snapshots and a weight $$lambda $$ , we find a collection of dense subgraphs such that the sum of densities of the induced subgraphs plus the sum of Jaccard indices, weighted by $$lambda $$ , is maximized. We prove that this problem is NP-hard. To discover dense subgraphs with good objective value, we present an iterative algorithm which runs in $$ mathcal {O} mathopen {}left( n^2k^2 + m log n + k^3 nright) $$ time per single iteration, and a greedy algorithm which runs in $$ mathcal {O} mathopen {}left( n^2k^2 + m log n + k^3 nright) $$ time, where k is the length of the graph sequence and n and m denote number of nodes and total number of edges respectively. We show experimentally that our algorithms are efficient, they can find ground truth in synthetic datasets and provide interpretable results from real-world datasets. Finally, we present a case study that shows the usefulness of our problem." @default.
- W4387430311 created "2023-10-08" @default.
- W4387430311 creator A5067444605 @default.
- W4387430311 creator A5082793817 @default.
- W4387430311 date "2023-01-01" @default.
- W4387430311 modified "2023-10-09" @default.
- W4387430311 title "Jaccard-Constrained Dense Subgraph Discovery" @default.
- W4387430311 cites W1500512125 @default.
- W4387430311 cites W1518985150 @default.
- W4387430311 cites W1535144194 @default.
- W4387430311 cites W1888358353 @default.
- W4387430311 cites W1921746303 @default.
- W4387430311 cites W1972558815 @default.
- W4387430311 cites W2030365814 @default.
- W4387430311 cites W2032279394 @default.
- W4387430311 cites W2036836182 @default.
- W4387430311 cites W2091602684 @default.
- W4387430311 cites W2119757574 @default.
- W4387430311 cites W2121526866 @default.
- W4387430311 cites W2127492100 @default.
- W4387430311 cites W2153204928 @default.
- W4387430311 cites W2153250079 @default.
- W4387430311 cites W2266714125 @default.
- W4387430311 cites W3004777475 @default.
- W4387430311 cites W3121632873 @default.
- W4387430311 doi "https://doi.org/10.1007/978-3-031-45275-8_34" @default.
- W4387430311 hasPublicationYear "2023" @default.
- W4387430311 type Work @default.
- W4387430311 citedByCount "0" @default.
- W4387430311 crossrefType "book-chapter" @default.
- W4387430311 hasAuthorship W4387430311A5067444605 @default.
- W4387430311 hasAuthorship W4387430311A5082793817 @default.
- W4387430311 hasConcept C11413529 @default.
- W4387430311 hasConcept C114614502 @default.
- W4387430311 hasConcept C118615104 @default.
- W4387430311 hasConcept C132525143 @default.
- W4387430311 hasConcept C154945302 @default.
- W4387430311 hasConcept C184898388 @default.
- W4387430311 hasConcept C203519979 @default.
- W4387430311 hasConcept C2778112365 @default.
- W4387430311 hasConcept C33923547 @default.
- W4387430311 hasConcept C41008148 @default.
- W4387430311 hasConcept C54355233 @default.
- W4387430311 hasConcept C73555534 @default.
- W4387430311 hasConcept C86803240 @default.
- W4387430311 hasConceptScore W4387430311C11413529 @default.
- W4387430311 hasConceptScore W4387430311C114614502 @default.
- W4387430311 hasConceptScore W4387430311C118615104 @default.
- W4387430311 hasConceptScore W4387430311C132525143 @default.
- W4387430311 hasConceptScore W4387430311C154945302 @default.
- W4387430311 hasConceptScore W4387430311C184898388 @default.
- W4387430311 hasConceptScore W4387430311C203519979 @default.
- W4387430311 hasConceptScore W4387430311C2778112365 @default.
- W4387430311 hasConceptScore W4387430311C33923547 @default.
- W4387430311 hasConceptScore W4387430311C41008148 @default.
- W4387430311 hasConceptScore W4387430311C54355233 @default.
- W4387430311 hasConceptScore W4387430311C73555534 @default.
- W4387430311 hasConceptScore W4387430311C86803240 @default.
- W4387430311 hasLocation W43874303111 @default.
- W4387430311 hasOpenAccess W4387430311 @default.
- W4387430311 hasPrimaryLocation W43874303111 @default.
- W4387430311 hasRelatedWork W2294604808 @default.
- W4387430311 hasRelatedWork W2628526247 @default.
- W4387430311 hasRelatedWork W2702570413 @default.
- W4387430311 hasRelatedWork W2749089722 @default.
- W4387430311 hasRelatedWork W2913569734 @default.
- W4387430311 hasRelatedWork W3022576529 @default.
- W4387430311 hasRelatedWork W3127229356 @default.
- W4387430311 hasRelatedWork W4254879869 @default.
- W4387430311 hasRelatedWork W4379521144 @default.
- W4387430311 hasRelatedWork W2000801317 @default.
- W4387430311 isParatext "false" @default.
- W4387430311 isRetracted "false" @default.
- W4387430311 workType "book-chapter" @default.