
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
Influencer identification in a network is a component of HyperGraf. The underlying algorithms are driven by state-of-the-art network analysis and graph theory methods, e.g. page-rank, degree centralities, betweenness, clustering co-efficients. A social network consists of a set of socially relevant actors connected by one or more relations which can characterize communications between the actors. Identifying influential nodes in such a network enables organizations to optimize the spread of information in such networks. Mphasis HyperGraf is an Omni-channel customer 360 analytics solution.
Key Data
Version | |
By | Mphasis |
Categories | |
Type | Model Package |
Fulfillment Methods | Amazon SageMaker
|
Usage Information
Fulfillment Methods
Amazon SageMaker
Additional Resources
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End User License Agreement (EULA)
Support Information
Mphasis HyperGraf Influencer Analytics
For any assistance, please reach out at:
https://www2.mphasis.com/AWS-Marketplace-Support-LP.htmlAWS Infrastructure
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services. Learn more
Refund Policy
Currently we do not support refunds, but you can cancel your subscription to the service at any time.