Matches in SemOpenAlex for { <https://semopenalex.org/work/W4289375441> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W4289375441 abstract "Data-driven analysis of complex networks has been in the focus of research for decades. An important area of research is to study how well real networks can be described with a small selection of metrics, furthermore how well network models can capture the relations between graph metrics observed in real networks. In this paper, we apply machine learning techniques to investigate the aforementioned problems. We study 500 real-world networks along with 2,000 synthetic networks generated by four frequently used network models with previously calibrated parameters to make the generated graphs as similar to the real networks as possible. This paper unifies several branches of data-driven complex network analysis, such as the study of graph metrics and their pair-wise relationships, network similarity estimation, model calibration, and graph classification. We find that the correlation profiles of the structural measures significantly differ across network domains and the domain can be efficiently determined using a small selection of graph metrics. The structural properties of the network models with fixed parameters are robust enough to perform parameter calibration. The goodness-of-fit of the network models highly depends on the network domain. By solving classification problems, we find that the models lack the capability of generating a graph with a high clustering coefficient and relatively large diameter simultaneously. On the other hand, models are able to capture exactly the degree-distribution-related metrics." @default.
- W4289375441 created "2022-08-02" @default.
- W4289375441 creator A5032944996 @default.
- W4289375441 creator A5080190018 @default.
- W4289375441 date "2018-10-19" @default.
- W4289375441 modified "2023-09-27" @default.
- W4289375441 title "Network Classification Based Structural Analysis of Real Networks and their Model-Generated Counterparts" @default.
- W4289375441 doi "https://doi.org/10.48550/arxiv.1810.08498" @default.
- W4289375441 hasPublicationYear "2018" @default.
- W4289375441 type Work @default.
- W4289375441 citedByCount "0" @default.
- W4289375441 crossrefType "posted-content" @default.
- W4289375441 hasAuthorship W4289375441A5032944996 @default.
- W4289375441 hasAuthorship W4289375441A5080190018 @default.
- W4289375441 hasBestOaLocation W42893754411 @default.
- W4289375441 hasConcept C103278499 @default.
- W4289375441 hasConcept C104122410 @default.
- W4289375441 hasConcept C115961682 @default.
- W4289375441 hasConcept C119857082 @default.
- W4289375441 hasConcept C121332964 @default.
- W4289375441 hasConcept C124101348 @default.
- W4289375441 hasConcept C132525143 @default.
- W4289375441 hasConcept C136764020 @default.
- W4289375441 hasConcept C154945302 @default.
- W4289375441 hasConcept C22047676 @default.
- W4289375441 hasConcept C32946077 @default.
- W4289375441 hasConcept C34947359 @default.
- W4289375441 hasConcept C41008148 @default.
- W4289375441 hasConcept C62520636 @default.
- W4289375441 hasConcept C73555534 @default.
- W4289375441 hasConcept C80444323 @default.
- W4289375441 hasConcept C93959086 @default.
- W4289375441 hasConceptScore W4289375441C103278499 @default.
- W4289375441 hasConceptScore W4289375441C104122410 @default.
- W4289375441 hasConceptScore W4289375441C115961682 @default.
- W4289375441 hasConceptScore W4289375441C119857082 @default.
- W4289375441 hasConceptScore W4289375441C121332964 @default.
- W4289375441 hasConceptScore W4289375441C124101348 @default.
- W4289375441 hasConceptScore W4289375441C132525143 @default.
- W4289375441 hasConceptScore W4289375441C136764020 @default.
- W4289375441 hasConceptScore W4289375441C154945302 @default.
- W4289375441 hasConceptScore W4289375441C22047676 @default.
- W4289375441 hasConceptScore W4289375441C32946077 @default.
- W4289375441 hasConceptScore W4289375441C34947359 @default.
- W4289375441 hasConceptScore W4289375441C41008148 @default.
- W4289375441 hasConceptScore W4289375441C62520636 @default.
- W4289375441 hasConceptScore W4289375441C73555534 @default.
- W4289375441 hasConceptScore W4289375441C80444323 @default.
- W4289375441 hasConceptScore W4289375441C93959086 @default.
- W4289375441 hasLocation W42893754411 @default.
- W4289375441 hasOpenAccess W4289375441 @default.
- W4289375441 hasPrimaryLocation W42893754411 @default.
- W4289375441 hasRelatedWork W1887183739 @default.
- W4289375441 hasRelatedWork W1908864280 @default.
- W4289375441 hasRelatedWork W1986896721 @default.
- W4289375441 hasRelatedWork W2053209358 @default.
- W4289375441 hasRelatedWork W2371887819 @default.
- W4289375441 hasRelatedWork W2593182287 @default.
- W4289375441 hasRelatedWork W2802266311 @default.
- W4289375441 hasRelatedWork W2910610074 @default.
- W4289375441 hasRelatedWork W4280634094 @default.
- W4289375441 hasRelatedWork W4289375441 @default.
- W4289375441 isParatext "false" @default.
- W4289375441 isRetracted "false" @default.
- W4289375441 workType "article" @default.