TY  - GEN
N2  - 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. 
DO  - 10.1007/978-3-030-04648-4
DO  - doi
AB  - 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. 
T1  - Computational data and social networks :7th International Conference, CSoNet 2018, Shanghai, China, December 18-20, 2018, Proceedings /
AU  - Chen, Xuemin
AU  - Sen, Arunabha,
AU  - Li, Wei
AU  - Thai, My T.,
VL  - 11280
CN  - HM742
N1  - International conference proceedings.
N1  - Includs author index.
ID  - 857540
KW  - Online social networks
SN  - 9783030046484
SN  - 3030046486
TI  - Computational data and social networks :7th International Conference, CSoNet 2018, Shanghai, China, December 18-20, 2018, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-04648-4
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-04648-4
ER  -