Matches in SemOpenAlex for { <https://semopenalex.org/work/W4383501542> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4383501542 abstract "A significant data mining challenge is social network analysis. To effectively retain the network topological structure and other attribute information, it is essential to encode network data into low-dimensional representations, or network embeddings, before doing social network analysis. Classification, link prediction, anomaly detection, and clustering are further applications made easier by network representation learning. Machine learning-based approaches have also gained a lot of attention in recent years. This study performs a thorough analysis of the recent literature on network representation learning by utilizing neural network models. A study of past research works in social network analysis reveals that most of them used methods based on matrices and graphs. The same methodology is used in several studies that concentrate on various facets of society. The antiquated techniques, which mostly rely on visual analysis, are suitable for usage with more controllable datasets. Although it is possible to automate the process of extracting the information while also reducing bias, one could argue that a study of social networks based on machine learning could perform better even now, in unpredictable circumstances. This is because the data extraction based on machine learning has delivered better results." @default.
- W4383501542 created "2023-07-08" @default.
- W4383501542 creator A5048517246 @default.
- W4383501542 creator A5071883004 @default.
- W4383501542 creator A5073708100 @default.
- W4383501542 date "2023-06-14" @default.
- W4383501542 modified "2023-10-18" @default.
- W4383501542 title "Social Networks Analysis and Machine Learning: an Overview of Approaches and Applications" @default.
- W4383501542 cites W1990136917 @default.
- W4383501542 cites W2004207294 @default.
- W4383501542 cites W2755600986 @default.
- W4383501542 cites W3035547765 @default.
- W4383501542 cites W3039050487 @default.
- W4383501542 cites W3090756364 @default.
- W4383501542 cites W3099293562 @default.
- W4383501542 cites W3194859061 @default.
- W4383501542 cites W4229055940 @default.
- W4383501542 cites W4280592358 @default.
- W4383501542 cites W4281957899 @default.
- W4383501542 cites W4283753440 @default.
- W4383501542 cites W4293431690 @default.
- W4383501542 cites W4294647541 @default.
- W4383501542 cites W4295067194 @default.
- W4383501542 cites W4297324389 @default.
- W4383501542 cites W4298395822 @default.
- W4383501542 cites W4320234102 @default.
- W4383501542 doi "https://doi.org/10.1109/icscss57650.2023.10169353" @default.
- W4383501542 hasPublicationYear "2023" @default.
- W4383501542 type Work @default.
- W4383501542 citedByCount "0" @default.
- W4383501542 crossrefType "proceedings-article" @default.
- W4383501542 hasAuthorship W4383501542A5048517246 @default.
- W4383501542 hasAuthorship W4383501542A5071883004 @default.
- W4383501542 hasAuthorship W4383501542A5073708100 @default.
- W4383501542 hasConcept C104317684 @default.
- W4383501542 hasConcept C111919701 @default.
- W4383501542 hasConcept C114713312 @default.
- W4383501542 hasConcept C119857082 @default.
- W4383501542 hasConcept C121332964 @default.
- W4383501542 hasConcept C124101348 @default.
- W4383501542 hasConcept C136764020 @default.
- W4383501542 hasConcept C154945302 @default.
- W4383501542 hasConcept C17744445 @default.
- W4383501542 hasConcept C185592680 @default.
- W4383501542 hasConcept C199539241 @default.
- W4383501542 hasConcept C2522767166 @default.
- W4383501542 hasConcept C2776359362 @default.
- W4383501542 hasConcept C32946077 @default.
- W4383501542 hasConcept C41008148 @default.
- W4383501542 hasConcept C4727928 @default.
- W4383501542 hasConcept C50644808 @default.
- W4383501542 hasConcept C518677369 @default.
- W4383501542 hasConcept C55493867 @default.
- W4383501542 hasConcept C62520636 @default.
- W4383501542 hasConcept C66746571 @default.
- W4383501542 hasConcept C73555534 @default.
- W4383501542 hasConcept C94625758 @default.
- W4383501542 hasConcept C98045186 @default.
- W4383501542 hasConceptScore W4383501542C104317684 @default.
- W4383501542 hasConceptScore W4383501542C111919701 @default.
- W4383501542 hasConceptScore W4383501542C114713312 @default.
- W4383501542 hasConceptScore W4383501542C119857082 @default.
- W4383501542 hasConceptScore W4383501542C121332964 @default.
- W4383501542 hasConceptScore W4383501542C124101348 @default.
- W4383501542 hasConceptScore W4383501542C136764020 @default.
- W4383501542 hasConceptScore W4383501542C154945302 @default.
- W4383501542 hasConceptScore W4383501542C17744445 @default.
- W4383501542 hasConceptScore W4383501542C185592680 @default.
- W4383501542 hasConceptScore W4383501542C199539241 @default.
- W4383501542 hasConceptScore W4383501542C2522767166 @default.
- W4383501542 hasConceptScore W4383501542C2776359362 @default.
- W4383501542 hasConceptScore W4383501542C32946077 @default.
- W4383501542 hasConceptScore W4383501542C41008148 @default.
- W4383501542 hasConceptScore W4383501542C4727928 @default.
- W4383501542 hasConceptScore W4383501542C50644808 @default.
- W4383501542 hasConceptScore W4383501542C518677369 @default.
- W4383501542 hasConceptScore W4383501542C55493867 @default.
- W4383501542 hasConceptScore W4383501542C62520636 @default.
- W4383501542 hasConceptScore W4383501542C66746571 @default.
- W4383501542 hasConceptScore W4383501542C73555534 @default.
- W4383501542 hasConceptScore W4383501542C94625758 @default.
- W4383501542 hasConceptScore W4383501542C98045186 @default.
- W4383501542 hasLocation W43835015421 @default.
- W4383501542 hasOpenAccess W4383501542 @default.
- W4383501542 hasPrimaryLocation W43835015421 @default.
- W4383501542 hasRelatedWork W1554338108 @default.
- W4383501542 hasRelatedWork W1965805985 @default.
- W4383501542 hasRelatedWork W2042363691 @default.
- W4383501542 hasRelatedWork W2234238252 @default.
- W4383501542 hasRelatedWork W2941456333 @default.
- W4383501542 hasRelatedWork W3121950545 @default.
- W4383501542 hasRelatedWork W3160699245 @default.
- W4383501542 hasRelatedWork W4247844984 @default.
- W4383501542 hasRelatedWork W794056029 @default.
- W4383501542 hasRelatedWork W3085348632 @default.
- W4383501542 isParatext "false" @default.
- W4383501542 isRetracted "false" @default.
- W4383501542 workType "article" @default.