Spark’s GraphX-based link prediction for social communication using triangle counting

Volume: 9, Issue: 1
Published: Jun 15, 2019
Abstract
Link prediction in a given instance of a network topology is a crucial task for extracting and inspecting the evolution of social networks. It predicts missing links in existing community networks and new or terminating links in future systems. It also attracted much attention in many fields. In the past decade, many methodologies have been compiled to predict the suitable links in a given social network. Analyzing link prediction methods is...
Paper Details
Title
Spark’s GraphX-based link prediction for social communication using triangle counting
Published Date
Jun 15, 2019
Volume
9
Issue
1
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