Effector Detection Problem in Social Networks

Nowadays, different innovations spread rapidly in online social networks. An activation state can indicate whether each user adopts the target information. The effector detection problem aims to find a way to generate an activation state as close to an observed one as possible. In this article, base...

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Veröffentlicht in:	IEEE transactions on computational social systems Jg. 7; H. 5; S. 1200 - 1209
Hauptverfasser:	Zhang, Yapu, Yang, Wenguo, Wu, Weili, Li, Yi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.10.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Approximation Approximation algorithm Approximation algorithms Biological system modeling effector detection Integrated circuit modeling Linear programming Lower bounds Mathematical analysis reverse influence sampling (RIS) Social network services Social networks Target detection Technological innovation Upper bounds
ISSN:	2329-924X, 2373-7476
Online-Zugang:	Volltext
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