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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.

Mphasis HyperGraf Influencer Analytics

By: Mphasis Latest Version: 2.3

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

By Mphasis
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

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Mphasis HyperGraf Influencer Analytics

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