Treffer: Influence decision models: from cooperative game theory to social network analysis

Title:
Influence decision models: from cooperative game theory to social network analysis
Contributors:
Universitat Politècnica de Catalunya. Departament de Matemàtiques, Universitat Politècnica de Catalunya. GRTJ - Grup de Recerca en Teoria de Jocs
Publisher Information:
Elsevier
Publication Year:
2021
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
English
Relation:
https://www.sciencedirect.com/science/article/pii/S1574013720304433; info:eu-repo/grantAgreement/MINECO//MTM2015-66818-P/ES/ASPECTOS MATEMATICOS, COMPUTACIONALES Y SOCIALES EN CONTEXTOS DE VOTACION Y DE COOPERACION./; Molinero, X.; Riquelme, F. Influence decision models: from cooperative game theory to social network analysis. "Computer science review", Febrer 2021, vol. 39, art. 100343.; http://hdl.handle.net/2117/350018
DOI:
10.1016/j.cosrev.2020.100343
Rights:
Attribution-NonCommercial-NoDerivatives 4.0 International ; https://creativecommons.org/licenses/by-nc-nd/4.0/ ; Open Access
Accession Number:
edsbas.BF6C74D
Database:
BASE

Weitere Informationen

Cooperative game theory considers simple games and influence games as essential classes of games. A simple game can be viewed as a model of voting systems in which a single alternative, such as a bill or an amendment, is pitted against the status quo. An influence game is a cooperative game in which a team of players (or coalition) succeeds if it is able to convince sufficiently many agents to participate in a task. Furthermore, influence decision models allow to represent discrete system dynamics as graphs whose nodes are activated according to an influence spread model. It let us to depth in the social network analysis. All these concepts are applied to a wide variety of disciplines, such as social sciences, economics, marketing, cognitive sciences, political science, biology, computer science, among others. In this survey we present different advances in these topics, joint work with M. Serna. These advances include representations of simple games, the definition of influence games, and how to characterize different problems on influence games (measures, values, properties and problems for particular cases with respect to both the spread of influence and the structure of the graph). Moreover, we also present equivalent models to the simple games, the computation of satisfaction and power in collective decision-making models, and the definition of new centrality measures used for social network analysis. In addition, several interesting computational complexity results have been found. ; Peer Reviewed ; Postprint (author's final draft)