computer science

Linkurious

Linkurious is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Linkurious rather than just read about it. In short: Linkurious is a software company specialized in graph-based technology for various use cases such as financial crime, intelligence, cybersecurity, supply chain management or data governance. Since 2024, Linkurious offers an integrated contextual decision intelligence platform powered by native graph technology and entity resolution AI.

Key takeaways

Linkurious belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Linkurious to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Linkurious from memory before moving on to harder problems.

Reference excerpt

Linkurious is a software company specialized in graph-based technology for various use cases such as financial crime, intelligence, cybersecurity, supply chain management or data governance. Since 2024, Linkurious offers an integrated contextual decision intelligence platform powered by native graph technology and entity resolution AI. Linkurious works with a variety of world-class technology and consulting partners including Microsoft, Amazon, Neo4j, Nuix, Capgemini, PwC or Deloitte. The company has offices in Montreuil, France and Bethesda, MD, USA.

History Linkurious was founded in 2013 by Sébastien Heymann, David Rapin and Jean Villedieu following the development of Gephi, which was inspired by the prototype for Stanford's Center for Spatial and Textual Analysis project Mapping the Republic of Letters and looked at connections across thousands of communities in Europe and North America during The Enlightenment. In 2023, Linkurious is listed in the TOP 250 French software companies and receives the "International" award of the Year granted by Ernst & Young and Numeum. In December 2025, Nuix Ltd., a data analytics and intelligence software company headquartered in Australia, announced it has signed an agreement to acquire Linkurious. On 20th April 2026 the Nuix acquisition of Linkurious was closed (https://ir.miraqle.com/DownloadFile.axd?file=/Report/ComNews/20260420/03080593.pdf)

Products Linkurious provides entity resolution, case management capabilities as well as detection, data search, visualization and exploration capabilities for various graph databases such as Neo4j, Azure Cosmos DB, Memgraph, Amazon Neptune, Google Spanner Graph, TitanDB, DataStax, AllegroGraph and FalkorDB (formerly RedisGraph). Linkurious has developed a JavaScript graph visualization library named Ogma. It provides a graphics engine based on WebGL and supports older machines with HTML5 Canvas. Linkurious' graph visualization tool is used for NASA's Lessons Learned database, identifying connections between seemingly unlikely subjects, such as a correlation between contaminated fluid and battery fire risk.

Applications

Panama Papers The International Consortium of Investigative Journalists (ICIJ) used a commercial version of Linkurious and Neo4j in the investigation of the Panama Papers, uncovering 4.8 million leaked files consisting of emails, 3 million database entries, 2.2 million PDFs, 1.2 million images, 320,000 text files, and 2242 files, evidence of money laundering, tax evasion or political corruption.

Swiss Leaks The ICIJ also utilized the software during the Swiss Leaks investigation that revealed a massive tax evasion scheme in which 180.6 billion euros passed through HSBC accounts.

FinCEN files In 2020, the ICIJ used the software and Neo4j to visualize and explore the FinCEN Files’ 400 spreadsheets containing data on 100,000 transactions.

Pandora Papers In 2021, the ICIJ leveraged the capabilities of Linkurious and Neo4j once more to analyse the data from the Pandora Papers. The leak involved 14 different offshore services firms and 11.9 million records, amounting to 2.94 terabytes. The network visualisations were able to help organise and explain the data.

Justice for Myanmar The campaign group Justice for Myanmar used the software to map the financial connections of the Myanmar military and publish the "Cartel Finance Map".

Obsalytics The non-profit organization Obsalytics combined Linkurious and open data to understand the main power structures and financial flows in Syria.

The Sentry The Sentry, a US-based investigative and policy organization that seeks to disable multinational predatory networks that benefit from violent conflict, repression, and kleptocracy, uses Linkurious combined with Neo4j graph database to leverage over 150 million pieces of data for their investigations.

Media4change The "Karštos pėdos" tool developed by the international movement Media4change provides transparency around the connections between politicians and public figures and public-sector funding to journalists and to the general public. The organization used Linkurious technology to demonstrate how national and EU funds are used in Lithuania.

References

Worked examples

Example 1 — a first encounter with Linkurious

Start with the simplest possible case. Write down what Linkurious claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Linkurious before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Linkurious ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Linkurious

In research: Linkurious appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Linkurious in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Linkurious is common in secondary-school and first-year university syllabi. It links to neighbouring topics French companies established in 2013, Graph databases, Social network analysis software, so understanding it makes those chapters shorter.
In everyday life: Look for Linkurious outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Linkurious in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Linkurious means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Linkurious out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Linkurious in simple terms?

Why does Linkurious matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Linkurious?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Linkurious.