Understanding the limitations of network online learning

Abstract Studies of networked phenomena, such as interactions in online social media, often rely on incomplete data, either because these phenomena are partially observed, or because the data is too large or expensive to acquire all at once. Analysis of incomplete data leads to skewed or misleading...

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Bibliographic Details
Main Authors: Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad
Format: Article
Language:English
Published: SpringerOpen 2020-09-01
Series:Applied Network Science
Subjects:
Online Access:http://link.springer.com/article/10.1007/s41109-020-00296-w