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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation

  • Mehmet Kaya
  • Şuayip Birinci
  • Jalal Kawash
  • Reda Alhajj

Part of the Lecture Notes in Social Networks book series (LNSN)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Corinne A. Green, Emily McMillan, Lachlan Munn, Caitlin Sole, Michelle J. Eady
    Pages 15-28
  3. Panote Siriaraya, Yuanyuan Wang, Yukiko Kawai, Yusuke Nakaoka, Toyokazu Akiyama
    Pages 29-49
  4. Konstantinos F. Xylogiannopoulos, Panagiotis Karampelas, Reda Alhajj
    Pages 51-74
  5. Betül Bulut, Esra Gündoğan, Buket Kaya, Reda Alhajj, Mehmet Kaya
    Pages 117-130
  6. Sachin Thukral, Arnab Chatterjee, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma et al.
    Pages 131-149
  7. Iraklis Varlamis, Christos Sardianos, Grigoris Bouras
    Pages 151-175
  8. S. Martin-Gutierrez, J. C. Losada, R. M. Benito
    Pages 177-197
  9. Ayşe Geçkil, Ahmet Anıl Müngen, Esra Gündoğan, Mehmet Kaya
    Pages 199-211

About this book

Introduction

This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, recommendation is vital for a variety of applications to narrow down the search space and to better guide people towards educated and personalized alternatives. In this context, the book covers supporting students, food venue, friend and paper recommendation to demonstrate the power of social media data analysis. Secondly, this book treats behavior analysis and understanding as important for a variety of applications, including inspiring behavior from discussion platforms, determining user choices, detecting following patterns, crowd behavior modeling for emergency evacuation, tracking community structure, etc. Third, fraud and anomaly detection have been well tackled based on social media analysis. This has is illustrated in this book by identifying anomalous nodes in a network, chasing undetected fraud processes, discovering hidden knowledge, detecting clickbait, etc. With this wide coverage, the book forms a good source for practitioners and researchers, including instructors and students.

Keywords

Social Network Analysis Social Media Networks Recommendation Systems Data Mining Machine Learning Popular/general

Editors and affiliations

  • Mehmet Kaya
    • 1
  • Şuayip Birinci
    • 2
  • Jalal Kawash
    • 3
  • Reda Alhajj
    • 4
  1. 1.Computer EngineeringFırat UniversityElazığTurkey
  2. 2.Ministry of HealthAnkaraTurkey
  3. 3.Department of Computer ScienceUniversity of CalgaryCalgaryCanada
  4. 4.Department of Computer ScienceUniversity of CalgaryCalgaryCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-33698-1
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-030-33697-4
  • Online ISBN 978-3-030-33698-1
  • Series Print ISSN 2190-5428
  • Series Online ISSN 2190-5436
  • Buy this book on publisher's site