Topic detection and classification in social networks : the Twitter case / Dimitrios Milioris.

Author
Milioris, Dimitrios [Browse]
Format
Book
Language
English
Published/​Created
Cham, Switzerland : Springer, [2018]
Description
xvi, 105 pages : illustrations (chiefly color) ; 25 cm

Availability

Copies in the Library

Location Call Number Status Location Service Notes
Engineering Library - Stacks QA76.9.D343 M54 2018 Browse related items Request

    Details

    Subject(s)
    Summary note
    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.
    Bibliographic references
    Includes bibliographical references and index.
    Contents
    • Introduction
    • Background and Related Work
    • Joint Sequence Complexity
    • Text Classification via Compressive Sensing
    • Extension of Joint Complexity and Compressive Sensing
    • Conclusion.
    ISBN
    • 9783319664132
    • 3319664131
    • 9783319664149 ((e-book))
    • 331966414X
    OCLC
    1032147362
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