CANE: community-aware network embedding via adversarial training
Sign Up to like & getrecommendations! Published in 2021 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-020-01521-9
Abstract: Network embedding aims to learn a low-dimensional representation vector for each node while preserving the inherent structural properties of the network, which could benefit various downstream mining tasks such as link prediction and node classification.… read more here.
Keywords: cane community; network; community; network embedding ... See more keywords
Community-aware single-copy content forwarding in Mobile Social Network
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DOI: 10.1007/s11276-017-1494-1
Abstract: One of the most challenging issues in Mobile Social Networks (MSNs) is to design a messages forwarding method that achieves high delivery and low communication overhead. Single-copy forwarding methods boasting minimum communication overhead are well-known… read more here.
Keywords: mobile social; method; copy; single copy ... See more keywords
Community aware temporal network generation
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DOI: 10.1007/s41109-025-00731-w
Abstract: The advantages of temporal networks in capturing complex dynamics, such as diffusion and contagion, has led to breakthroughs in real world systems across numerous fields. In the case of human behavior, face-to-face interaction networks enable… read more here.
Keywords: generation; face; network generation; community aware ... See more keywords
Characterizing the interactions between classical and community-aware centrality measures in complex networks
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DOI: 10.1038/s41598-021-89549-x
Abstract: Identifying vital nodes in networks exhibiting a community structure is a fundamental issue. Indeed, community structure is one of the main properties of real-world networks. Recent works have shown that community-aware centrality measures compare favorably… read more here.
Keywords: community; aware centrality; classical community; community aware ... See more keywords