Influence Maximization in Multiagent Systems by a Graph Embedding Method: Dealing With Probabilistically Unstable Links-Reference-Cited by-同舟云学术

Influence Maximization in Multiagent Systems by a Graph Embedding Method: Dealing With Probabilistically Unstable Links

Published:2023-09 Issue:9 Volume:53 Page:6004-6016
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Li Mincan¹^ORCID,Wang Zidong²^ORCID,Han Qing-Long³^ORCID,Taylor Simon J. E.²^ORCID,Li Kenli¹^ORCID,Liao Xiangke⁴,Liu Xiaohui²

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

2. Department of Computer Science, Brunel University London, Uxbridge, U.K.

3. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

4. Collaborative Innovation Center of High Performance Computing, National University of Defense Technology, Changsha, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

European Union’s Horizon 2020 Research and Innovation Programme

Royal Society of the U.K.

Alexander von Humboldt Foundation of Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/10223305/10004710.pdf?arnumber=10004710

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4. Better approximation algorithms for influence maximization in online social networks

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