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EDonkey network: History, Client software & Legal action

The eDonkey Network (also known as the eDonkey2000 network or eD2k) is a decentralized, mostly server-based, peer-to-peer file-sharing network created in 2000 by US developers Jed McCaleb and Sam Yagan that is best suited to share big files among users, and to provide long term availability of files. Like most sharing networks, it is decentralized, as…

Language: English [EN]
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EDonkey network topic overview

The analysis highlights History, Client software and Legal action as prominent areas in the source structure around EDonkey network.

Related topics
64
Source areas
7
Connected nodes
71
Extracted relationships
72
Concept neighborhoods
18
Bridge connections
71

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 22 topics
Client software · 18 topics
Legal action · 11 topics
Features · 5 topics
History · 3 topics
Successor protocols · 3 topics
Server software · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Features

History

Successor protocols

Legal action

Server software

  • Gratis Gratis versus libre
  • Java Java (programming language)

Client software

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How EDonkey network connects Entity context

The extracted context around EDonkey network shows recurring relationship patterns in the source. For example, EDonkey network → BitTorrent, By, DonkeyServer No1, DonkeyServer No2, FastTrack, February, Federal Belgian Police, However, In, Internet, July, P2P, Razorback2, Sometime, The, While Another extracted example is EDonkey network → America, Belgian, Brussels, February, International Federation, Motion Picture Association, MPAA, On, Phonographic Industry, Razorback2, Switzerland, This, Zaventem. Use these groups to spot repeated connection types before inspecting the individual relationships.

EDonkey network

Top relations

related to history · 16
EDonkey network → BitTorrent, By, DonkeyServer No1, DonkeyServer No2, FastTrack, February, Federal Belgian Police, However, In, Internet, July, P2P, Razorback2, Sometime, The, While
related to Confiscation of Razorback 2 · 13
EDonkey network → America, Belgian, Brussels, February, International Federation, Motion Picture Association, MPAA, On, Phonographic Industry, Razorback2, Switzerland, This, Zaventem
related to Successor protocols · 12
EDonkey network → High ID, In, Kad, Kademlia, MetaMachine, Overnet, P2P, Project, Such, The, This, To
related to Search · 8
EDonkey network → AND, Boolean, NOT, OR, Some, The, The Lugdunum, To
related to Hash identification · 7
EDonkey network → Files, Furthermore, In, KiB, MD4, That, This
related to eDonkey poisoning · 4
EDonkey network → MP3, Servers, Such, These

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

edonkey network emule servers server client files ed2k protocol software also users original source file clients edonkey2000 programs free metamachine

EDonkey network relationships Subject–Predicate–Object triples

TTTA extracted 72 structured relationships around EDonkey network. Examples in this analysis include size → instance of → also called top hash or master hash.It is possible for a malicious user to create two different chunks with the same checksum due to MD4 being vulnerable to collision attacks.Se… and size → instance of → SearchThe eDonkey network supports searching of files by name and a number of secondary characteristics. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
sizeinstance ofalso called top hash or master hash.It is possible for a malicious user to create two different chunks with the same checksum due to MD4 being vulnerable to collision attacks.Se…0.80text
extensioninstance ofalso called top hash or master hash.It is possible for a malicious user to create two different chunks with the same checksum due to MD4 being vulnerable to collision attacks.Se…0.80text
bitrateinstance ofalso called top hash or master hash.It is possible for a malicious user to create two different chunks with the same checksum due to MD4 being vulnerable to collision attacks.Se…0.80text
etcinstance ofalso called top hash or master hash.It is possible for a malicious user to create two different chunks with the same checksum due to MD4 being vulnerable to collision attacks.Se…0.80text
sizeinstance ofSearchThe eDonkey network supports searching of files by name and a number of secondary characteristics0.80text
extensioninstance ofSearchThe eDonkey network supports searching of files by name and a number of secondary characteristics0.80text
bitrateinstance ofSearchThe eDonkey network supports searching of files by name and a number of secondary characteristics0.80text
etcinstance ofSearchThe eDonkey network supports searching of files by name and a number of secondary characteristics0.80text
MPAAinstance ofcopyright enforcement entities0.80text
IFPI have set up severalinstance ofcopyright enforcement entities0.80text
automated fake checksinstance ofbut doesn't have KAD or obfuscation support while adding other features0.80text
enhanced GUI. eMule Plus has no direct association with the original eMule.Hydranodeinstance ofbut doesn't have KAD or obfuscation support while adding other features0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around EDonkey network bring nearby vocabulary together. In this analysis, examples include Network, Client and Protocol. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • EDonkey network
    • Network
    • Client
    • Protocol
    • Software
    • File
    • Users
    • Server
    • Metamachine
    • Files
    • Original
    • Available
    • Free
  • edonkey network
    • Network
    • Client
    • Protocol
    • Users
    • Server
    • Software
    • File
    • Sharing
    • Metamachine
    • Files
    • Kad
    • Original
  • emule
    • Free
    • Windows
    • Source
    • Original
    • Kad
    • Code
    • Open
    • Protocol
    • Eserver
    • Support
    • Clients
    • Metamachine
  • windows
    • Based
    • Free
    • Emule
    • Available
    • Client
    • Edonkey2000
    • Clients
    • Metamachine
    • Original
    • Bittorrent
    • Kad
    • Code
  • client
    • Metamachine
    • Edonkey
    • Original
    • Emule
    • Edonkey2000
    • Free
    • Windows
    • Bittorrent
    • Programs
    • Source
    • Open
    • Network
  • ed2k link
    • Protocol
    • Eserver
    • Among
    • Files
    • Clients
    • Emule
    • Software
    • Original
    • Server
    • Network
    • Programs
    • Free
  • emule plus
    • Free
    • Windows
    • Source
    • Original
    • Kad
    • Code
    • Open
    • Protocol
    • Eserver
    • Support
    • Clients
    • Metamachine
  • server software
    • Software
    • Eserver
    • Two
    • Metamachine
    • Source
    • One
    • Servers
    • Available
    • Code
    • Free
    • Several
    • Support

Connections between topic areas Semantic bridges

For EDonkey network, one of the stronger structural bridges in this analysis connects EDonkey network with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
EDonkey networkOverview · splits 49 ⟂ 23
EDonkey networkClient software · splits 53 ⟂ 19
EDonkey networkLegal action · splits 60 ⟂ 12
EDonkey networkFeatures · splits 66 ⟂ 6
EDonkey networkHistory · splits 68 ⟂ 4
EDonkey networkSuccessor protocols · splits 68 ⟂ 4
EDonkey networkServer software · splits 69 ⟂ 3

Map overview Semantic statistics

EDonkey network

Nodes72
Edges71
Triples72
Avg. degree1.97
Density0.027778
Components1

Source & methodology

TTTA analyzes the structure around EDonkey network to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Client software & Legal action, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — EDonkey network · EN edition · Analysis: TopicsToTalkAbout

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