Research any topic before you write.

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

X-Face

An X-Face is a small bitmap (48 × 48 pixels, black and white) image which is added to a Usenet posting or e-mail message, typically showing a picture of the author's face. The image data is included in the posting as encoded text, and attached with an 'X-Face' header. It was devised by James Ashton.

Overview, Related Topics & Entities

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 X-Face. 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.

Overview

BitmapUsenetE-mailHeaderVismon
13 related topics

Topics to explore

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

Overview

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

X-Face

Nodes15
Edges14
Triples8
Avg. degree1.87
Density0.133333
Components1

How this topic connects Entity context

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

X-Face

Top relations

related to External links · 4
X-Face → Faces Archive, Freecode, Kinzler, Retrieved
see also · 3
X-Face → Indicators, Message Identification, Netpbm
is a · 1
X-Face → small bitmap

Important terminology Word statistics

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

Important terminology

mail used header picture image feature e-mail unix format pixels posting face included developed programs environments x-image-url also vismon message

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
X-Faceis asmall bitmap0.90text
X-Facerelated to External linksFreecode0.60section
X-Facerelated to External linksKinzler0.60section
X-Facerelated to External linksFaces Archive0.60section
X-Facerelated to External linksRetrieved0.60section
X-Facesee alsoNetpbm0.60section
X-Facesee alsoIndicators0.60section
X-Facesee alsoMessage Identification0.60section

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.