Methods for Analysis of Information Influence in Active Network Structures-Reference-Cited by-同舟云学术

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Methods for Analysis of Information Influence in Active Network Structures

Published:2022-05 Issue:5 Volume:83 Page:743-754
ISSN:0005-1179
Container-title:Automation and Remote Control
language:en
Short-container-title:Autom Remote Control

Author:

Gubanov D. A.

Publisher

Pleiades Publishing Ltd

Subject

Control and Systems Engineering,Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1134/S0005117922050071.pdf

Reference20 articles.

1. Gubanov, D.A. and Chkhartishvili, A.G., An actional model of user influence levels in a social network, Autom. Remote Control, 2015, vol. 76, no. 7, pp. 1282–1290.

2. Gubanov, D.A. and Chkhartishvili, A.G., Influence levels of users and meta-users of a social network, Autom. Remote Control, 2018, vol. 79, no. 3, pp. 545–553.

3. Breer, V.V., Novikov, D.A., and Rogatkin, A.D., Mob Control: Models of Threshold Collective Behavior, Heidelberg: Springer, 2017.

4. Aggarwal, C.C., Social Network Data Analytics, New York–Heidelberg: Springer, 2011.

5. Fouss, F., Saerens, M., and Shimbo, M., Algorithms and Models for Network Data and Link Analysis, Cambridge: Cambridge Univ. Press, 2016.

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