Topic Detection and Classification in Social Networks - Dimitrios Milioris

Topic Detection and Classification in Social Networks

The Twitter Case
Buch | Softcover
XVI, 105 Seiten
2018 | 1. Softcover reprint of the original 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-88238-3 (ISBN)
106,99 inkl. MwSt
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.

Dr. Dimitrios Milioris is a research associate and lecturer at the Massachusetts Institute of Technology (MIT). He received his Ph.D. from Ecole Polytechnique Paris (2015, honors) while a scholar at Columbia University, New York, USA, as an Alliance Program awardee (2013 - 2014). He received his double M.Sc. degree (2011, first in class, honors) in computer science & applied mathematics from Paris XI University and the Ecole Polytechnique, and his B.Sc. degree (2009, honors) in computer science from the University of Crete, Greece. Prior to joining MIT, he was a researcher at Bell Labs, Alcatel-Lucent in Paris, France, and a member of the Mathematics of Dynamic & Complex Networks Department. Prior to joining Bell Labs, he served as a research assistant at the Institute of Computer Science (ICS) of the Foundation for Research and Technology Hellas (FO.R.T.H.), and as a research engineer with the Hipercom Team at the National Institute for Research in Computer Science and Automatic Control (I.N.R.I.A.), followed by a compulsory military service in Telecommunications Division.

Introduction.- Background and Related Work.- Joint Sequence Complexity.- Text Classification via Compressive Sensing.- Extension of Joint Complexity and Compressive Sensing.- Conclusion.

Erscheint lt. Verlag 15.8.2018
Zusatzinfo XVI, 105 p. 38 illus., 25 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 203 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Schlagworte Analysis in Twitter • Analytic Combinatorics • Analytic Combinatorics Application in Social Netwo • Analytic Combinatorics Application in Social Networks • Automatic Classification of Topics • Classification in Social Networks • compressive sensing • Dynamic Social Networks • Joint Complexity • Joint Sequence Complexity • Kalman Filter • Privacy in Social Networks • Sparse Representation • topic detection • Topic Detection in Social Networks • Trend Sensing
ISBN-10 3-319-88238-4 / 3319882384
ISBN-13 978-3-319-88238-3 / 9783319882383
Zustand Neuware
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