Why Linkage ?
Understand your communication networks with the help of AI
Linkage allows you to cluster the nodes of networks with textual edges while identifying the topics used in communications. You can analyze networks such as email networks or co-authorship networks. Linkage allows you to upload your own network data or can help you build data to be analyzed.
What we do
What does make Linkage so unique ?
How does Linkage Work ?
Linkage is built upon a sound statistical AI model for networks with textual edges and implement an innovative and efficient AI algorithm to uncover patterns in your data. A model selection criteria allows to find in a fully automatic way the best model for your data.
Upload and manage your data securely
Upload all or part of your data on the platform to analyze them with Linkage. You will keep full control on the data you upload and only you will be able to access them.
Focus on data and interpretation
Minimum configuration is required to use Linkage since it selects the most sensible parameters for the data you provide. No scientific background is required to start working and get results. Advanced configuration options are also available if you need specific setups.
Visualize and export the results
Linkage also provides advanced visualization tools to present the uncovered results. It also allows you to export as CSV files the clustering results obtained on your data for further processing.
The Linkage Team
Charles is the co-inventor of the Linkage technology. He is a Professor of Statistics at Université Côte d'Azur (Nice) and holds a chair in Artificial Intelligence. He mainly works on statistical and machine learning for complexe data.
Pierre is the co-inventor of the Linkage Technology. He is professor of Statistics at Université de Paris and Ecole Polytechnique (Paris). He works mainly on problems related to machine learning and statistics.
Carlos OCANTO DÁVILA
Carlos is a research engineer. He works on the algorithmic aspects of Linkage.
Stéphane is a research engineer. He is in charge of the web & vizualisations development. He also works on general software problematics about Linkage.
Our blog articles
Linkage have been used in biology and epidemiology research fields, discover how in this article
Weak signal detection challenge
Linkage allows you to detect weak signals in large datasets. Users can test this usecase on the CSV file that we provide in our demonstration datasets.
How to analyze a co-authorship network
This simple tutorial helps you understand how you can use Linkage to analyse co-authorship networks in your field of application.