Information Diffusion and Knowledge Extraction from Social Networks - Th_ Bích Ng_c, Hoàng
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The popularity of online social networks has rapidly increased over the last decade. While serving its primary purpose of connecting people, social networks also play a major role in successfully connecting marketers with customers, famous people with their supporters, need-help people with willing-help people. The success of online social networks mainly relies on the information that the messages carry as well as the spread speed in social networks. This book aims at modeling message diffusion, extracting and representing information and knowledge from messages in social networks.

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Produktbeschreibung
The popularity of online social networks has rapidly increased over the last decade. While serving its primary purpose of connecting people, social networks also play a major role in successfully connecting marketers with customers, famous people with their supporters, need-help people with willing-help people. The success of online social networks mainly relies on the information that the messages carry as well as the spread speed in social networks. This book aims at modeling message diffusion, extracting and representing information and knowledge from messages in social networks.
Autorenporträt
Hoang TBN is a lecturer at University of Economics, the University of Danang, Vietnam. She received her master degree in Information Systems Development at HAN Uni., The Netherlands in 2011 and her Ph.D. degree in Computer Sciences at IRIT France in 2018. Her research interests focus on information extraction, predictive models, and system modeling