Deep Learning-Based Community Detection Approach on Bitcoin Network

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...

Полное описание

Библиографические подробности
Главные авторы:	Meryam Essaid, Hongteak Ju
Формат:	Статья
Язык:	English
Опубликовано:	MDPI AG 2022-11-01
Серии:	Systems
Предметы:	bitcoin network topology community detection deep learning deep autoencoders
Online-ссылка:	https://www.mdpi.com/2079-8954/10/6/203

Схожие документы

Community Detection in Social Networks Using Deep Learning Approach
по: Monireh Hosseini, и др.
Опубликовано: (2023-06-01)

Predicting Financial Risk Associated to Bitcoin Investment by Deep Learning
по: Nahla Aljojo
Опубликовано: (2022-06-01)

Illegal Community Detection in Bitcoin Transaction Networks
по: Dany Kamuhanda, и др.
Опубликовано: (2023-07-01)

A new deep sparse autoencoder for community detection in complex networks
по: Rong Fei, и др.
Опубликовано: (2020-05-01)

Deep Learning Methods for Modeling Bitcoin Price
по: Prosper Lamothe-Fernández, и др.
Опубликовано: (2020-07-01)

Predicting the Price of Bitcoin Using Hybrid ARIMA and Deep Learning
по: aboosaleh mohammadsharifi, и др.
Опубликовано: (2021-06-01)

Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization
по: Amina Ladhari, и др.
Опубликовано: (2024-04-01)

Community Detection Based on Graph Representation Learning in Evolutionary Networks
по: Dongming Chen, и др.
Опубликовано: (2021-05-01)

Topology Identification of Low-Voltage Distribution Network Based on Deep Convolutional Time-Series Clustering
по: Qingzhong Ni, и др.
Опубликовано: (2023-05-01)

A Comparative Study of Bitcoin Price Prediction Using Deep Learning
по: Suhwan Ji, и др.
Опубликовано: (2019-09-01)

Deep learning for Bitcoin price direction prediction: models and trading strategies empirically compared
по: Oluwadamilare Omole, и др.
Опубликовано: (2024-08-01)

Comparative Analysis of Recurrent Neural Network Models Performance in Predicting Bitcoin Prices
по: Zidane Ikkoy Ramadhan, и др.
Опубликовано: (2024-06-01)

Community Detection Using Deep Learning: Combining Variational Graph Autoencoders with Leiden and K-Truss Techniques
по: Jyotika Hariom Patil, и др.
Опубликовано: (2024-09-01)

Hybrid data decomposition-based deep learning for Bitcoin prediction and algorithm trading
по: Yuze Li, и др.
Опубликовано: (2022-04-01)

A hybrid model for predicting bitcoin price using machine learning and metaheuristic algorithms
по: Aboosaleh Mohammad Sharifi, и др.
Опубликовано: (2022-03-01)

Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction
по: İrem Üstek, и др.
Опубликовано: (2024-11-01)

Anomaly Detection of Water Level Using Deep Autoencoder
по: Isack Thomas Nicholaus, и др.
Опубликовано: (2021-10-01)

Deep Learning Autoencoder Study on ECG Signals
по: Dandi Mochamad Reza, и др.
Опубликовано: (2023-12-01)

A model for detecting abnormal claims in crop insurance using deep learning
по: Yaqub Ahmadlou, и др.
Опубликовано: (2023-08-01)

A Hybrid Approach Combining the Lie Method and Long Short-Term Memory (LSTM) Network for Predicting the Bitcoin Return
по: Melike Bildirici, и др.
Опубликовано: (2024-07-01)

Recurrent nonsymmetric deep auto encoder approach for network intrusion detection system
по: Srikanth yadav M., и др.
Опубликовано: (2022-12-01)

Process Memory Investigation of the Bitcoin Clients Electrum and Bitcoin Core
по: Luuc Van Der Horst, и др.
Опубликовано: (2017-01-01)

Detection of Pitting in Gears Using a Deep Sparse Autoencoder
по: Yongzhi Qu, и др.
Опубликовано: (2017-05-01)

Understanding Bitcoin Price Prediction Trends under Various Hyperparameter Configurations
по: Jun-Ho Kim, и др.
Опубликовано: (2022-11-01)

Modified Autoencoder Training and Scoring for Robust Unsupervised Anomaly Detection in Deep Learning
по: Nicholas Merrill, и др.
Опубликовано: (2020-01-01)

Bitcoin Ordinals: Bitcoin Price and Transaction Fee Rate Predictions
по: Minxing Wang, и др.
Опубликовано: (2025-01-01)

A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography
по: Changhee Yun, и др.
Опубликовано: (2023-03-01)

Anomaly Detection on Univariate Sensing Time Series Data for Smart Aquaculture Using Deep Learning
по: Petkovski Aleksandar, и др.
Опубликовано: (2023-06-01)

Dataset on bitcoin carbon footprint and energy consumption
по: Samuel Asumadu Sarkodie, и др.
Опубликовано: (2022-06-01)

Bitcoin Use Cases: A Scoping Review
по: Emma Apatu, и др.
Опубликовано: (2024-03-01)

Enhanced Bitcoin Price Direction Forecasting With DQN
по: Azamjon Muminov, и др.
Опубликовано: (2024-01-01)

FRAUD DETECTION MODEL USING COMMITTEE SEMI-SUPERVISED LEARNING FOR BITCOIN TRANSACTION /
по: Al-Hashedi, Khaled Gubran Yahya, 1990-, author 612702, и др.
Опубликовано: (2023)

FRAUD DETECTION MODEL USING COMMITTEE SEMI-SUPERVISED LEARNING FOR BITCOIN TRANSACTION /
по: al-Hashedi, Khaled Gubran Yahya, 1990-, author 612702, и др.
Опубликовано: (2023)

A Deep Learning Approach for Network Intrusion Detection System
по: Ahmad Javaid, и др.
Опубликовано: (2016-12-01)

Lead Behaviour in Bitcoin Markets
по: Ying Chen, и др.
Опубликовано: (2020-01-01)

Legalization of Bitcoin cryptocurrency. Private law aspects
по: Jakub J. Szczerbowski
Опубликовано: (2018-01-01)

Blockchain inefficiency in the Bitcoin peers network
по: Giuseppe Pappalardo, и др.
Опубликовано: (2018-09-01)

Bitcoin Concepts, Threats, and Machine-Learning Security Solutions
по: Mohamed Rahouti, и др.
Опубликовано: (2018-01-01)

Detection of Abnormal Cardiac Response Patterns in Cardiac Tissue Using Deep Learning
по: Xavier Marimon, и др.
Опубликовано: (2022-08-01)

Bitcoin cryptocurrency transaction system using secure electronic wallet /
по: Ng, Hui Li, 1991- , author, и др.
Опубликовано: (2015)