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SCIgen

SCIgen is a paper generator that uses context-free grammar to randomly generate nonsense in the form of computer science research papers. Its original data source was a collection of computer science papers downloaded from CiteSeer. All elements of the papers are formed, including graphs, diagrams, and citations. Created by scientists at the…

Science & Technology

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 SCIgen. 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.

Key facts & relationships

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

Available in
English
License
GNU General Public License
Repository
github.com/strib/scigen
Type
Paper generator
Written in
Perl

Topics to explore

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

Overview

Sample output

Prominent results

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

SCIgen

Nodes44
Edges43
Triples97
Avg. degree1.95
Density0.045455
Components1

How this topic connects Entity context

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

SCIgen

Top relations

related to Schlangemann · 36
SCIgen → Business, Call-for-Paper, China, Communication, Computer Science, CSSE, Curriculum Vitae, Der Schlangemann, DHTs, E-Commerce, EBISS, German-language, Heise Online, Herbert Schlangemann, Herbert Schlangemann's, IEEE, IEEE Xplore Database, Improvement, In, Information System Security
related to Prominent results · 22
SCIgen → Access Points, As, Callaos, Cybernetics, Electrical, Electronics Engineers, From, In, Informatics, Institute, Methodology, Professor Nagib Callaos, Redundancy, Rooter, Slashdot, Submitting, Systemics, The, The IEEE, Typical Unification
related to Spoofing Google Scholar and h-index calculators · 13
SCIgen → Albert Einstein, Cyril Labbé, Electrical, Electronics Engineers, Google Scholar, Grenoble University, Ike Antkare, Institute, Labbé, Refereeing, Schlangemann, SCIgen-generated, Using
related to External links · 7
SCIgen → An Automatic CS Paper, Copy, E-Commerce, GeneratorSCIgen, Herbert SchlangemannSCIgen, Simulation, Towards
related to 2013 retractions · 5
SCIgen → Chinese, IEEE, In, Springer, Unlike
related to SciDetect · 5
SCIgen → Cyril Labbé, In, SciDetect, Springer, This
related to 2021 report · 2
SCIgen → In, They
Available in · 1
SCIgen → English
License · 1
SCIgen → GNU General Public License
Repository · 1
SCIgen → github.com/strib/scigen

Important terminology Word statistics

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

Important terminology

paper papers conference schlangemann ieee conferences generator wmsci published 2005 science also 2008 herbert computer website springer rooter methodology accepted

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
SCIgenAvailable inEnglish1.00infobox
SCIgenLicenseGNU General Public License1.00infobox
SCIgenRepositorygithub.com/strib/scigen1.00infobox
SCIgenTypePaper generator1.00infobox
SCIgenWebsitehttp://pdos.csail.mit.edu/scigen/1.00infobox
SCIgenWritten inPerl1.00infobox
SCIgenis apaper generator that uses context-free grammar to randomly generate nonsense in the form of computer science research papers0.90text
SCIgenrelated to 2013 retractionsIn0.60section
SCIgenrelated to 2013 retractionsSpringer0.60section
SCIgenrelated to 2013 retractionsIEEE0.60section
SCIgenrelated to 2013 retractionsUnlike0.60section
SCIgenrelated to 2013 retractionsChinese0.60section

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.