Custom cover image
Custom cover image

Social Network DeGroot Model : Supporting Consensus Reaching in Opinion Dynamics / by Yucheng Dong, Zhaogang Ding, Gang Kou

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Singapore : Springer Nature Singapore, 2024Publisher: Singapore : Imprint: Springer, 2024Description: 1 Online-Ressource (XII, 166 p. 64 illus., 38 illus. in color.)ISBN:
  • 9789819704217
Subject(s): Additional physical formats: 9789819704200 | 9789819704224 | 9789819704231 | Erscheint auch als: 9789819704200 Druck-Ausgabe | Erscheint auch als: 9789819704224 Druck-Ausgabe | Erscheint auch als: 9789819704231 Druck-Ausgabe | Erscheint auch als: Social Network DeGroot Model. Druck-Ausgabe Singapore : Springer Verlag, Singapore, 2024. 166 SeitenDOI: DOI: 10.1007/978-981-97-0421-7Online resources: Summary: Chapter 1. Introduction -- Chapter 2. Social Network DeGroot Model: Consensus and convergence speed -- Chapter 3. Consensus reaching through adding minimum interactions -- Chapter 4. Strategic Manipulations with trust relationships -- Chapter 5. Risk control in the evolution of public opinions -- Chapter 6. Social Network DeGroot Model in uncertain contexts.Summary: This book investigates the DeGroot model in social network contexts, and proposes the social network DeGroot (SNDG) model. Specifically, this book focuses on two core research problems in the SNDG model: (i) Social network structures to reach a stable state (consensus, polarization, or fragmentation); and (ii) the convergence rate to reach a stable state. Furthermore, the authors generalize the SNDG model in an uncertain context, showing the effects of interval opinions on the SNDG model. In this book, the authors also discuss the applications of the SNDG model to support group decision making, including consensus reaching through adding minimum interactions, trust relationships manipulations, and risk control issues in the social network. Apart from theoretical analysis, detailed experimental simulations with real and random data will be applied to validate our research. This book is the first to connect opinion dynamics, social network and group decision making. The results reported can help us understand the evolution of public opinions in social network contexts and provide new tools to support consensus reaching in group decision making.PPN: PPN: 1887413898Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-BUM | ZDB-2-SXBM
No physical items for this record
KIT – The Research University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT