Computational Data and Social Networks [electronic resource] : 7th International Conference, CSoNet 2018, Shanghai, China, December 18-20, 2018, Proceedings / edited by Xuemin Chen, Arunabha Sen, Wei Wayne Li, My T. Thai.
Contributor(s): Chen, Xuemin [editor.] | Sen, Arunabha [editor.] | Li, Wei Wayne [editor.] | Thai, My T [editor.] | SpringerLink (Online service).
Material type: BookSeries: Theoretical Computer Science and General Issues: 11280Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XII, 544 p. 292 illus., 138 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030046484.Subject(s): Application software | Artificial intelligence | Computer engineering | Computer networks | Social sciences -- Data processing | Data protection | Computers and civilization | Computer and Information Systems Applications | Artificial Intelligence | Computer Engineering and Networks | Computer Application in Social and Behavioral Sciences | Data and Information Security | Computers and SocietyAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.3 Online resources: Click here to access onlineTheoretical technology development -- Real-world applications associated with complex and data network analysis -- Minimizing in uence of rumors on social networks -- Blockchain Markov modelling -- Fraud detection -- Data mining -- Internet of Things (IoT) -- Internet of Vehicles (IoV).
This book constitutes the refereed proceedings of the 7th International Conference on Computational Data and Social Networks, CSoNet 2018, held in Shanghai, China, in December 2018. The 44 revised full papers presented in this book toghether with 2 extended abstracts, were carefully reviewed and selected from 106 submissions. The topics cover the fundamental background, theoretical technology development, and real-world applications associated with complex and data network analysis, minimizing in uence of rumors on social networks, blockchain Markov modelling, fraud detection, data mining, internet of things (IoT), internet of vehicles (IoV), and others. .
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