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Technology

Plagiarism detection system

Last fetched

Plagiarism detection system is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under education management, with a published adopter count of 4 hostnames.

Profile

Broader grouping
human resources, software development
Published adopter count
4

Plagiarism detection system is a software solution designed to assist proctoring providers, LMS providers, integrators, universities, and educational organizations. It enables efficient processing and analysis of several hundreds of exam essays within hours, identifying potential plagiarism instances to support instructors in maintaining academic integrity.

Vendor site: https://plagiarismcheck.org/

Sample adopters

4 hostnames WhisperGraph observed running Plagiarism detection system, a sample of the 4 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 4 Plagiarism detection system adopters, not of all 4 published adopters. A hostname counts once per network.

Related pages

Pivot from Plagiarism detection system into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.