Uncertainty in Study of Social Networks: Robust Optimization and Machine Learning

Suning Gong (), Qingqin Nong, Han Xiao () and Ding-Zhu Du ()
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Suning Gong: School of Mathematical and Statistics, Qingdao University, Qingdao 266071, Shandong Province, P. R. China
Qingqin Nong: School of Mathematical Science, Ocean University of China, Qingdao 266100, Shandong Province, P. R. China
Han Xiao: School of Mathematical Science, Ocean University of China, Qingdao 266100, Shandong Province, P. R. China
Ding-Zhu Du: Department of Computer Science, University of Texas, Dallas 75083, USA

Asia-Pacific Journal of Operational Research (APJOR), 2023, vol. 40, issue 01, 1-16

Abstract: In the study of social networks, there exist many uncertainties which were ignored in earlier research efforts. However, they are now getting more and more attentions. Therefore, more and more robust optimization and machine learning approaches are getting involved. In this small survey, we would like to accumulate those uncertainties and related research works in robust optimization and machine learning.

Keywords: Social networks; uncertainty; robust optimization; machine learning (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0217595923400067

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