Matches in SemOpenAlex for { <https://semopenalex.org/work/W2807110764> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W2807110764 abstract "The rapid development of techniques results in a growing diversity of social network data which require for analysis. Therefore, the deeper understanding of latent knowledge representing the social network data needs learning by combining the insights obtained from multiple, diverse networks carrying heterogeneous information featuring the interrelationship between vertices. In this manuscript, we propose a novel deepmodel- based approach to learn latent structural representation from multi-domain social network data. The algorithm, which we call Deep Multiple Networks Fusion (DMNF), is able to discover an aggregated deep representation, by taking into consideration multiple networks, which represent heterogeneous information carried by the social network data. To perform the task, DMNF first constructs a network representing the total degree of interrelationship between pairwise vertices by utilizing a fusion method to compute such degree taking into consideration heterogeneous information embedded in the network data, e.g., node connection, and attribute relativity. Given the fused network data, DMNF attempts to learn the latent network representation making use of a deep neural network model. Such learned representation is able to reveal the latent structure, e.g., social communities, and clusters in the social network. DMNF has been tested with two sets of real social network data and compared with several prevalent approaches to network community detection. The experimental results show that the latent representation found by DMNF may match well with the ground-truth communities and DMNF is able to outperform the state-of-the-art approaches to detecting social network communities." @default.
- W2807110764 created "2018-06-13" @default.
- W2807110764 creator A5024159747 @default.
- W2807110764 creator A5061884304 @default.
- W2807110764 creator A5078808331 @default.
- W2807110764 creator A5091608695 @default.
- W2807110764 date "2017-11-01" @default.
- W2807110764 modified "2023-10-16" @default.
- W2807110764 title "Deep Fusion of Multiple Networks for Learning Latent Social Communities" @default.
- W2807110764 cites W1480059945 @default.
- W2807110764 cites W1971421925 @default.
- W2807110764 cites W1974515660 @default.
- W2807110764 cites W1984609538 @default.
- W2807110764 cites W1987219048 @default.
- W2807110764 cites W1996916311 @default.
- W2807110764 cites W2021188143 @default.
- W2807110764 cites W2124952510 @default.
- W2807110764 cites W2127923214 @default.
- W2807110764 cites W2132914434 @default.
- W2807110764 cites W2162038040 @default.
- W2807110764 cites W2165232124 @default.
- W2807110764 cites W2563515532 @default.
- W2807110764 cites W3124682511 @default.
- W2807110764 cites W813334110 @default.
- W2807110764 doi "https://doi.org/10.1109/ictai.2017.00121" @default.
- W2807110764 hasPublicationYear "2017" @default.
- W2807110764 type Work @default.
- W2807110764 sameAs 2807110764 @default.
- W2807110764 citedByCount "3" @default.
- W2807110764 countsByYear W28071107642020 @default.
- W2807110764 countsByYear W28071107642021 @default.
- W2807110764 crossrefType "proceedings-article" @default.
- W2807110764 hasAuthorship W2807110764A5024159747 @default.
- W2807110764 hasAuthorship W2807110764A5061884304 @default.
- W2807110764 hasAuthorship W2807110764A5078808331 @default.
- W2807110764 hasAuthorship W2807110764A5091608695 @default.
- W2807110764 hasConcept C108583219 @default.
- W2807110764 hasConcept C119857082 @default.
- W2807110764 hasConcept C154945302 @default.
- W2807110764 hasConcept C2522767166 @default.
- W2807110764 hasConcept C41008148 @default.
- W2807110764 hasConceptScore W2807110764C108583219 @default.
- W2807110764 hasConceptScore W2807110764C119857082 @default.
- W2807110764 hasConceptScore W2807110764C154945302 @default.
- W2807110764 hasConceptScore W2807110764C2522767166 @default.
- W2807110764 hasConceptScore W2807110764C41008148 @default.
- W2807110764 hasLocation W28071107641 @default.
- W2807110764 hasOpenAccess W2807110764 @default.
- W2807110764 hasPrimaryLocation W28071107641 @default.
- W2807110764 hasRelatedWork W2922457425 @default.
- W2807110764 hasRelatedWork W3014300295 @default.
- W2807110764 hasRelatedWork W3164822677 @default.
- W2807110764 hasRelatedWork W3215138031 @default.
- W2807110764 hasRelatedWork W4223943233 @default.
- W2807110764 hasRelatedWork W4225161397 @default.
- W2807110764 hasRelatedWork W4250304930 @default.
- W2807110764 hasRelatedWork W4299487748 @default.
- W2807110764 hasRelatedWork W4309045103 @default.
- W2807110764 hasRelatedWork W4312200629 @default.
- W2807110764 isParatext "false" @default.
- W2807110764 isRetracted "false" @default.
- W2807110764 magId "2807110764" @default.
- W2807110764 workType "article" @default.