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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Social Network Large-Scale Decision-Making: Developing Decision Support Methods at Scale and Social Networks

Social Network Large-Scale Decision-Making: Developing Decision Support Methods at Scale and Social Networks

Du, Zhijiao
Yu, Sumin

Hardcover

Series: Uncertainty and Operations Research

Business General

ISBN10: 9819977932
ISBN13: 9789819977932
Publisher: Springer Nature
Published: Nov 24 2023
Pages: 141
Weight: 0.90
Height: 0.44 Width: 6.14 Depth: 9.21
Language: English

This book focuses on the following three key topics in social network large-scale decision-making: structure-heterogeneous information fusion, clustering analysis with multiple measurement attributes, and consensus building considering trust loss. To address the aggregation and distance measurement of structure-heterogeneous evaluation information, we propose a fusion method based on trust and behavior analysis. Then, two clustering algorithms are put forward, including trust Cop-K-means clustering algorithm and compatibility distance-oriented off-center clustering algorithm. The above clustering algorithms emphasize the similarity of opinions and social relationships as important measurement attributes of clustering. Finally, this book explores the impact of trust loss originating from social relationships on the CRP and develops two consensus-reaching models, namely the improved minimum-cost consensus model that takes into account voluntary trust loss and the punishment-driven consensus-reaching model. Some case studies, a large number of numerical experiments, and comparative analyses are provided in this book to demonstrate the characteristics and advantages of the proposed methods and models.

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