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Dissecting bitcoin blockchain: Empirical analysis of bitcoin network (2009–2020)

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TLDR
The current paper aims to explore the local topology and geometry of the Bitcoin network during its first decade of existence and it could be inferred that despite anti-social tendencies, Bitcoin network shared similarities with other complex networks.
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This article is published in Journal of Network and Computer Applications.The article was published on 2021-03-01 and is currently open access. It has received 37 citations till now. The article focuses on the topics: Cryptocurrency & Trusted third party.

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Citations
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Secure access control for manufacturing sector with application of ethereum blockchain

TL;DR: It was discovered that basic escape clauses in blockchain can be beaten utilizing the prototyped structure and protected keen agreements dependent on ERC20 interface of controlled Ethereum based Distributed Ledger Technology with significant cycles and capacities to get an all encompassing structure for making sure about Cloud-Based Manufacturing activities.
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Deep Learning and Internet of Things Based Lung Ailment Recognition Through Coughing Spectrograms

TL;DR: In this paper, a Multi-layered Convolutional neural network (DCNN) was proposed for the arrangement of eight pneumonic infections, which utilizes otherworldly highlights, cepstral coefficients, chroma highlights, and spectrograms from coughing sound for preparing.
Journal ArticleDOI

A survey on security challenges and solutions in the IOTA

TL;DR: A detailed security analysis of IOTA is presented in this paper , where the authors outline security vulnerabilities on IOTA and their mitigation strategies and explore several important open directions to be researched further.
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Towards Blockchain-Based Secure Storage and Trusted Data Sharing Scheme for IoT Environment

- 01 Jan 2022 - 
TL;DR: In this paper , a blockchain-based decentralized distributed storage and sharing scheme that provides end-to-end encryption and fine-grained access control is proposed. But the authors do not consider the security aspects of the data storage, processing, and sharing.
References
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Journal ArticleDOI

The Structure and Function of Complex Networks

Mark Newman
- 01 Jan 2003 - 
TL;DR: Developments in this field are reviewed, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.

The igraph software package for complex network research

TL;DR: Platform-independent and open source igraph aims to satisfy all the requirements of a graph package while possibly remaining easy to use in interactive mode as well.
Book

Social and Economic Networks

TL;DR: In Social and Economic Networks as discussed by the authors, a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics, is presented.

{SNAP Datasets}: {Stanford} Large Network Dataset Collection

TL;DR: A collection of more than 50 large network datasets from tens of thousands of node and edges to tens of millions of nodes and edges that includes social networks, web graphs, road networks, internet networks, citation networks, collaboration networks, and communication networks.
Journal ArticleDOI

Classes of small-world networks

TL;DR: Evidence of the occurrence of three classes of small-world networks, characterized by a vertex connectivity distribution that decays as a power law law, and the nature of such constraints may be the controlling factor for the emergence of different classes of networks are presented.
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Q1. What have the authors contributed in "Dissecting bitcoin blockchain: empirical analysis of bitcoin network (2009-2020)" ?

The current paper aims to explore the local topology and geometry of the Bitcoin network during its first decade of existence. 

Trending Questions (1)
What is Bitcoin?

Bitcoin is a peer-to-peer and decentralized payment system that uses cryptocurrency named bitcoins (BTCs) and was released as open-source software in 2009.