03480nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001500172072001600187072001600203072002300219072001500242072001500257100008300272245015400355250001800509264007200527300006500599336002600664337002600690338003600716347002400752505036500776520116501141650004302306650004602349650003002395650005502425650002902480650003002509700008402539700007902623710003402702773002602736776003602762776003602798776003602834856004602870912001402916912001502930999001702945978-981-97-0421-7DE-He21320251030112015.0cr nn 008mamaa240427s2024    si |    s    |||| 0|eng d  a97898197042179978-981-97-0421-77 a10.1007/978-981-97-0421-72doi 4aHD30.3-.36 7aKJP2bicssc 7aGTC2bicssc 7aBUS0070002bisacsh 7aKJP2thema 7aGTC2thema1 aDong, Yucheng.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut97591310aSocial Network DeGroot Modelh[electronic resource] :bSupporting Consensus Reaching in Opinion Dynamics /cby Yucheng Dong, Zhaogang Ding, Gang Kou.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXII, 166 p. 64 illus., 38 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aChapter 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.  aThis 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. 0aCommunication in organizations.960034 0aSocial sciencesxNetwork analysis.975914 0aSocial psychology.95908714aOrganizational and Strategic Communication.96816424aNetwork Research.97591524aSocial Psychology.9590871 aDing, Zhaogang.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9759161 aKou, Gang.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9759172 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981970420008iPrinted edition:z978981970422408iPrinted edition:z978981970423140uhttps://doi.org/10.1007/978-981-97-0421-7  aZDB-2-BUM  aZDB-2-SXBM  c59454d59454