Deep Learning-Based Community Detection Approach on Bitcoin Network
Community detection is essential in P2P network analysis as it helps identify connectivity structure, undesired centralization, and influential nodes. Existing methods primarily utilize topological data and neglect the rich content data. This paper proposes a technique combining topological and cont...
Autori principali: | Meryam Essaid, Hongteak Ju |
---|---|
Natura: | Articolo |
Lingua: | English |
Pubblicazione: |
MDPI AG
2022-11-01
|
Serie: | Systems |
Soggetti: | |
Accesso online: | https://www.mdpi.com/2079-8954/10/6/203 |
Documenti analoghi
Documenti analoghi
-
Community Detection in Social Networks Using Deep Learning Approach
di: Monireh Hosseini, et al.
Pubblicazione: (2023-06-01) -
Predicting Financial Risk Associated to Bitcoin Investment by Deep Learning
di: Nahla Aljojo
Pubblicazione: (2022-06-01) -
Illegal Community Detection in Bitcoin Transaction Networks
di: Dany Kamuhanda, et al.
Pubblicazione: (2023-07-01) -
A new deep sparse autoencoder for community detection in complex networks
di: Rong Fei, et al.
Pubblicazione: (2020-05-01) -
Deep Learning Methods for Modeling Bitcoin Price
di: Prosper Lamothe-Fernández, et al.
Pubblicazione: (2020-07-01)