Missing Link Prediction Using Non-Overlapped Features and Multiple Sources of Social Networks

Missing Link Prediction Using Non-Overlapped Features and Multiple Sources of Social Networks

The current methods for missing link prediction in social networks focus on using data from overlapping users from two social network sources to recommend links between unconnected users. To improve prediction of the missing link, this paper presents the use of information from non-overlapping users...

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Bibliographic Details
Main Authors: Pokpong Songmuang, Chainarong Sirisup, Aroonwan Suebsriwichai
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Information
Subjects:
Social Network
missing link
link prediction
machine learning
Online Access:https://www.mdpi.com/2078-2489/12/5/214

Internet

https://www.mdpi.com/2078-2489/12/5/214

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