Deep Learning in Social Networks

Weili Wu (), Zhao Zhang and Ding-Zhu Du ()
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Weili Wu: University of Texas at Dallas, Department of Computer Science
Zhao Zhang: Zhejiang Normal University, School of Mathematics
Ding-Zhu Du: University of Texas at Dallas, Department of Computer Science

Chapter Chapter 11 in Computational Aspects of Social Networks, 2026, pp 333-353 from Springer

Abstract: Abstract An important class of graph data is the social data, generated from online social networks (OSNs). The social data have been growing rapidly over the internet through various OSNs, including online websites (such as Facebook, LinkedIn, and ResearchGate) and messengers (such as Skype). The widespread use of them leads to an increasing interest in efficiently and correctly discovering important, useful, and implicit information. Efficient techniques for data harnessing about social data are crucial to applications across many domains, including public safety, environment management, election, and viral marketing.

Date: 2026
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DOI: 10.1007/978-3-032-14833-9_11

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