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Measuring satisfaction and power in influence based decision systems

Author
Molinero, X.; Riquelme, F.; Serna, M.
Type of activity
Journal article
Journal
Knowledge-based systems
Date of publication
2019-06-15
Volume
174
First page
144
Last page
159
DOI
10.1016/j.knosys.2019.03.005
Repository
http://hdl.handle.net/2117/132016 Open in new window
URL
https://www.sciencedirect.com/science/article/abs/pii/S095070511930108X Open in new window
Abstract
We introduce collective decision-making models associated with influence spread under the linear threshold model in social networks. We define the oblivious and the non-oblivious influence models. We also introduce the generalized opinion leader–follower model (gOLF) as an extension of the opinion leader–follower model (OLF) proposed by van den Brink et al. (2011). In our model we allow rules for the final decision different from the simple majority used in OLF. We show that gOLF models are ...
Keywords
Complexity theory, Decision system, Game theory, Influence spread, Power index, Simple game
Group of research
ALBCOM - Algorithms, Computational Biology, Complexity and Formal Methods
GRTJ - Game Theory Research Group

Participants