Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

LISTSERV

The term Listserv (styled by the registered trademark licensee, L-Soft International, Inc., as LISTSERV) has been used to refer to electronic mailing list software applications in general, but is more properly applied to a few early instances of such software, which allows a sender to send one email to a list, which then transparently sends it on to the…

Trade & Products

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around LISTSERV. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Automated mailing list management

École Centrale ParisElectronic mailing lists
2 related topics

Trademark

U.S. Patent and Trademark OfficePRV
2 related topics

Security

PasswordsHashed
2 related topics

Overview

Electronic mailing listEmailIBMMainframesIra Fuchs
9 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

License
Proprietary
Original author
Éric Thomas
Platform
Cross-platform
Release
1986; 40 years ago (1986)
Stable release
LISTSERV 17.5 / November 20, 2024; 21 months ago (2024-11-20)
Type
Mailing lists

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Automated mailing list management

Trademark

Security

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.

Map overview Semantic statistics

LISTSERV

Nodes20
Edges19
Triples34
Avg. degree1.9
Density0.1
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

LISTSERV

Top relations

related to Automated mailing list management · 10
LISTSERV → After, Amongst, BITNIC, Centrale Paris, In, Some, The, Thomas, Thomas' LISTSERV, Whilst
related to Trademark · 9
LISTSERV → As, It, Nevertheless, Patent, PRV, Registration Office, Swedish Patent, The, Trademark Office
related to Editions · 5
LISTSERV → High Performance Option, LISTSERV HPO, LISTSERV Lite, LISTSERV Lite Free Edition, LISTSERV Maestro
related to External links · 2
LISTSERV → CataList Email List Search, L-Soft's Web
License · 1
LISTSERV → Proprietary
Original author · 1
LISTSERV → Éric Thomas
Platform · 1
LISTSERV → Cross-platform
Release · 1
LISTSERV → 1986; 40 years ago (1986)
Stable release · 1
LISTSERV → LISTSERV 17.5 / November 20, 2024; 21 months ago (2024-11-20)
Type · 1
LISTSERV → Mailing lists

Important terminology Word statistics

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

Important terminology

list mailing lists email 1986 also software known developed version bitnic trademark thomas product now site subscribers automated management original

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
LISTSERVLicenseProprietary1.00infobox
LISTSERVOriginal authorÉric Thomas1.00infobox
LISTSERVPlatformCross-platform1.00infobox
LISTSERVRelease1986; 40 years ago (1986)1.00infobox
LISTSERVStable releaseLISTSERV 17.5 / November 20, 2024; 21 months ago (2024-11-20)1.00infobox
LISTSERVTypeMailing lists1.00infobox
LISTSERVWebsitewww.lsoft.com/products/listserv.asp1.00infobox
LISTSERVrelated to Automated mailing list managementIn0.60section
LISTSERVrelated to Automated mailing list managementThomas0.60section
LISTSERVrelated to Automated mailing list managementWhilst0.60section
LISTSERVrelated to Automated mailing list managementCentrale Paris0.60section
LISTSERVrelated to Automated mailing list managementSome0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.