Big Data and Social Media Analytics : Trending Applications /

This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data, identifying motifs in multivar...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Çakırtaş, Mehmet (Editor), Ozdemir, Mehmet Kemal (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	Lecture Notes in Social Networks,
Subjects:	Statistics . Computer security. Game theory. Statistics, general. Systems and Data Security. Game Theory, Economics, Social and Behav. Sciences. Electronic books.
Online Access:	Connect to the full text of this electronic book