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Manipulating opinion diffusion in social networks

Abstract:
We consider opinion diffusion in binary influence networks, where at each step one or more agents update their opinions so as to be in agreement with the majority of their neighbors. We consider several ways of manipulating the majority opinion in a stable outcome, such as bribing agents, adding/deleting links, and changing the order of updates, and investigate the computational complexity of the associated problems, identifying tractable and intractable cases.
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.24963/ijcai.2017/124
Publication website:
https://www.ijcai.org/proceedings/2017

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Balliol College
Role:
Author
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Funding agency for:
Elkind, E
Grant:
639945
More from this funder
Funding agency for:
Bredereck, R
Grant:
BR 5207/2
Publisher:
International Joint Conferences on Artificial Intelligence Publisher's website
Host title:
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, (IJCAI-17)
Journal:
IJCAI International Joint Conference on Artificial Intelligence
Pages:
894-900
Publication date:
2017-08-25
Acceptance date:
2017-04-23
Event title:
Twenty-Sixth International Joint Conference on Artificial Intelligence, (IJCAI-17)
Event location:
Melbourne, Australia
Event website:
https://ijcai-17.org/
Event start date:
2017-08-19
Event end date:
2017-08-25
DOI:
ISSN:
1045-0823
ISBN:
9780999241103
Language:
English
Pubs id:
pubs:744671
UUID:
uuid:8de23931-043a-4801-a998-0103ea775a0f
Local pid:
pubs:744671
Source identifiers:
744671
Deposit date:
2017-11-21

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