Linkage allows you to cluster the nodes of networks with textual edges while identifying topics which are used in communications. You can analyze with Linkage networks such as email networks or co-authorship networks. Linkage allows you to upload your own network data or to make requests on scientific databases (Arxiv, Pubmed, HAL).
Linkage is built upon a sound statistical model for networks with textual edges and implement an innovative and efficient inference algorithm to fit the model on your data. Model selection allows to find in a fully automatic way the best number of groups and topics.
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.
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.
Linkage also provides advanced visualization tools, based on the specific features of the statistical modeling. Linkage finally allows to export as CSV files the clustering results obtained on your data for further processing.
Charles is the co-inventor of the Linkage technology. He is a Professor of Statistics at Université Côte d"Azur (Nice, France) and works on statistical learning and Ai problematics.
Pierre is the co-inventor of the Linkage Technology. He is a professor of Applied Mathematics at Université de Paris and also teaches at Ecole Polytechnique (Paris, France). He works mainly on problems related to machine learning and statistics.
Carlos is a research engineer involved in Linkage. He works on various algorithm problematics about Linkage software.
Stéphane is a research engineer involved in Linkage. He is in charge of the web & vizualisations development. He also works on general software problematics about Linkage.
Linkage have been used in biology and epidemiology research fields, discover how in this article
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.
This simple tutorial helps you understand how you can use Linkage to analyse co-authorship networks in your field of application.