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IRCnet is currently one of the largest IRC networks. As of June 2024, it has around 25,000 users using it daily. An early 2005 record had approximately 123,110 users simultaneously connected to the network.
Characters & History
Explore the main themes, entities and connections around IRCnet. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
users network servers irc operators efnet channels 000 collisions run server channel one characteristics european 1996 geographic com formed great
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| IRCnet | Average channels | 10,000–15,000 | 1.00 | infobox |
| IRCnet | Average servers | 30 | 1.00 | infobox |
| IRCnet | Average users | 20,000–30,000 | 1.00 | infobox |
| IRCnet | Based in | Worldwide | 1.00 | infobox |
| IRCnet | Content/subject | Public/Unrestricted | 1.00 | infobox |
| IRCnet | Founded | 1996; 30 years ago (1996) | 1.00 | infobox |
| IRCnet | Geographic location | Europe United States | 1.00 | infobox |
| IRCnet | Website URL | www.ircnet.com | 1.00 | infobox |
| IRCnet | related to Characteristics | Many IRCnet | 0.60 | section |
| IRCnet | related to Characteristics | IRC | 0.60 | section |
| IRCnet | related to Characteristics | That | 0.60 | section |
| IRCnet | related to Characteristics | Servers | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.