Network Data API is a set of techniques for your cognitive tool box to support the visual exploration, computational analysis and understanding of high-dimensional spaces, such as networks. Start enhancing your own products by integrating Network Data API via REST.
The world is full of connections: social circles, business
relationships, protein interactions in cells, money transactions,
or the interplay of machinery and humans: from interactions of
work stations in a clothing factory to complex associations in
Network Data API makes these connections the objects of study, thus turning the spotlight on dependencies between entities as opposed to the entities itself. This perspective is key to new insights and reasoning about underlying processes among entities and opens innovative techniques for anomaly detection, clustering, prediction, ranking or visual exploration.
While network data often lies naturally at hand, in some cases it is less obvious how to abstract relationships among entities in order to enable the application of the network analytical tool box. In the latter cases entities are often linked up through similarity (or distance) measures, however, both scenarios are equal input for Network Data API.
In Network Data API connections are called links, and entities are the nodes of the network. Our API accepts network data in the following formats:
NODE_A,NODE_B,VALUE node_1,node_2,0.4 node_1,node_3,0.1 node_2,node_4,1 node_5,node_6,0.3
POST /layout/linklistmethod for more details.
Explore the features of Network Data API in our interactive REST documentation, or plug our SDKs into your projects.
You can run the following demos live on Network Data API.
Ready to get down to the details? Full documentation detailing how to get started using this API is available in the interactive REST documentation.View full docs
Cognitive Visualization Lab
Daniel K. Weidele
Cambridge, MA 02142
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