LEADER 04110nam 22005535 450 001 9910768172503321 005 20250626163947.0 010 $a9789819977949 010 $a9819977940 024 7 $a10.1007/978-981-99-7794-9 035 $a(PPN)273593838 035 $a(MiAaPQ)EBC30967826 035 $a(CKB)29033275500041 035 $a(Au-PeEL)EBL30967826 035 $a(OCoLC)1410622669 035 $a(DE-He213)978-981-99-7794-9 035 $a(EXLCZ)9929033275500041 100 $a20231123d2023 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSocial Network Large-Scale Decision-Making $eDeveloping Decision Support Methods at Scale and Social Networks /$fby Zhijiao Du, Sumin Yu 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (157 pages) 225 1 $aUncertainty and Operations Research,$x2195-9978 327 $aIntroduction -- Preliminary Knowledge -- Trust and Behavior Analysis-based Structure-heterogeneous Information Fusion -- Trust Cop-Kmeans Clustering Method -- Compatibility Distance Oriented Off-center Clustering Method -- Minimum-Cost Consensus Model Considering Trust Loss -- Punishment-Driven Consensus-Reaching Model Considering Trust Loss -- Practical Applications -- Conclusions and Future Research Directions. 330 $aThis book focuses on the following three key topics in social network large-scale decision-making: structure-heterogeneous information fusion, clustering analysis with multiple measurement attributes, and consensus building considering trust loss. To address the aggregation and distance measurement of structure-heterogeneous evaluation information, we propose a fusion method based on trust and behavior analysis. Then, two clustering algorithms are put forward, including trust Cop-K-means clustering algorithm and compatibility distance-oriented off-center clustering algorithm. The above clustering algorithms emphasize the similarity of opinions and social relationships as important measurement attributes of clustering. Finally, this book explores the impact of trust loss originating from social relationships on the CRP and develops two consensus-reaching models, namely the improved minimum-cost consensus model that takes into account voluntary trust loss and the punishment-driven consensus-reaching model. Some case studies, a large number of numerical experiments, and comparative analyses are provided in this book to demonstrate the characteristics and advantages of the proposed methods and models. The authors encourage researchers, students, and enterprises engaged in social network analysis, group decision-making, multi-agent collaborative decision-making, and large-scale data processing to pay attention to the proposals presented in this book. After reading this book, the authors expect readers to have a deeper and more comprehensive understanding of social network large-scale decision-making. Inorder to make it more accurate for readers to understand the methods and models presented in this book, the authors strongly recommend that potential readers have a good research foundation in fuzzy soft computing, traditional clustering algorithms, basic mathematics knowledge, and other related preliminaries. 410 0$aUncertainty and Operations Research,$x2195-9978 606 $aOperations research 606 $aProduction management 606 $aOperations Research and Decision Theory 606 $aOperations Management 615 0$aOperations research. 615 0$aProduction management. 615 14$aOperations Research and Decision Theory. 615 24$aOperations Management. 676 $a302.30113 700 $aDu$b Zhijiao$01453411 701 $aYu$b Sumin$01453412 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910768172503321 996 $aSocial Network Large-Scale Decision-Making$93656029 997 $aUNINA LEADER 01153nam0 22002891i 450 001 UON00318325 005 20231205104129.334 100 $a20081211d1944 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| 1|||| 200 1 $aˆIl ‰senso e le premesse del comunismo russo$fNicola Berdajev$gtrad. dal russo di G. Perticone Jr 205 $aRoma : Edizioni Roma$b1944 210 $a246 p.$a18 cm 215 $aCollana$cPolitica e Sociologia. 606 $aCOMUNISMO RUSSO$xPremesse$3UONC070044$2FI 606 $aRUSSIA$xMOVIMENTI CULTURALI$xSEC. 19.$3UONC070043$2FI 620 $aIT$dRoma$3UONL000004 700 1$aBERDAJEV$bNikolaj Aleksandrovic$3UONV181503$0698616 701 1$aPerticone$bGiacomo$3UONV050390$068356 712 $aEdizioni Roma$3UONV271001$4650 801 $aIT$bSOL$c20251121$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00318325 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI NAPOLITANO 1174 $eSI MR 82766 5 1174 996 $aSenso e le premesse del comunismo russo$91372767 997 $aUNIOR