Topic Detection and Classification in Social Networks e-bog
875,33 DKK
(inkl. moms 1094,16 DKK)
This book provides a novel method for topic detection and classification in social networks. The book addresses several research and technical challenges that are currently being investigated by the research community, from the analysis of relations and communications between members of a community, to quality, authority, relevance and timeliness of the content, traffic prediction based on medi...
E-bog
875,33 DKK
Forlag
Springer
Udgivet
5 oktober 2017
Genrer
Communications engineering / telecommunications
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9783319664149
This book provides a novel method for topic detection and classification in social networks. The book addresses several research and technical challenges that are currently being investigated by the research community, from the analysis of relations and communications between members of a community, to quality, authority, relevance and timeliness of the content, traffic prediction based on media consumption, spam detection, to security, privacy and protection of personal information. Furthermore, the book discusses innovative techniques to address those challenges and provides novel solutions based on information theory, sequence analysis and combinatorics, which are applied on real data obtained from Twitter.