03690nam a22005655i 4500 978-981-97-0421-7 DE-He213 20251030112015.0 cr nn 008mamaa 240427s2024 si | s |||| 0|eng d 9789819704217 978-981-97-0421-7 10.1007/978-981-97-0421-7 doi HD30.3-.36 KJP bicssc GTC bicssc BUS007000 bisacsh KJP thema GTC thema Dong, Yucheng. author. aut http://id.loc.gov/vocabulary/relators/aut 75913 Social Network DeGroot Model [electronic resource] : Supporting Consensus Reaching in Opinion Dynamics / by Yucheng Dong, Zhaogang Ding, Gang Kou. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XII, 166 p. 64 illus., 38 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. 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. Communication in organizations. 60034 Social sciences Network analysis. 75914 Social psychology. 59087 Organizational and Strategic Communication. 68164 Network Research. 75915 Social Psychology. 59087 Ding, Zhaogang. author. aut http://id.loc.gov/vocabulary/relators/aut 75916 Kou, Gang. author. aut http://id.loc.gov/vocabulary/relators/aut 75917 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819704200 Printed edition: 9789819704224 Printed edition: 9789819704231 https://doi.org/10.1007/978-981-97-0421-7 ZDB-2-BUM ZDB-2-SXBM 59454 59454