Topic Detection and Classification in Social Networks The Twitter Case

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,...

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Bibliographic Details
Main Author Milioris, Dimitrios
Format eBook
LanguageEnglish
Published Cham Springer International Publishing AG 2017
Springer International Publishing
Springer
Edition1
Subjects
Communications Engineering, Networks
Computational Intelligence
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Systems Organization and Communication Networks
Data mining
Engineering
Natural Language Processing (NLP)
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Summary: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.
ISBN:3319664131
9783319664132
DOI:10.1007/978-3-319-66414-9