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From Social Data Mining and Analysis to Prediction and Community Detection

  • Mehmet Kaya
  • Özcan Erdoǧan
  • Jon Rokne

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

Table of contents

  1. Front Matter
    Pages i-x
  2. Anh Dang, Abidalrahman Moh’d, Anatoliy Gruzd, Evangelos Milios, Rosane Minghim
    Pages 1-29
  3. Zvi Sofershtein, Sara Cohen
    Pages 31-59
  4. Majed Alrubaian, Muhammad Al-Qurishi, Mabrook Al-Rakhami, Atif Alamri
    Pages 61-77
  5. Mohammed Bekkali, Abdelmonaime Lachkar
    Pages 79-101
  6. Arijit Chatterjee, William Perrizo
    Pages 103-121
  7. Thuy Vu, D. Stott Parker
    Pages 123-140
  8. Jean Creusefond, Thomas Largillier, Sylvain Peyronnet
    Pages 141-177
  9. Sharyn O’Halloran, Marion Dumas, Sameer Maskey, Geraldine McAllister, David K. Park
    Pages 179-209
  10. Konstantinos F. Xylogiannopoulos, Panagiotis Karampelas, Reda Alhajj
    Pages 211-238
  11. Back Matter
    Pages 239-245

About this book

Introduction

This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning.

Keywords

Clustering Memes in Social Media Point Reward Mechanism Email Recipient Prediction Tweet Categorization Sentiment Trends item set detection

Editors and affiliations

  • Mehmet Kaya
    • 1
  • Özcan Erdoǧan
    • 2
  • Jon Rokne
    • 3
  1. 1.Department of Computer EngineeringFirat UniversityElazigTurkey
  2. 2.Ministry of InteriorAnkaraTurkey
  3. 3.Department of Computer ScienceUniversity of CalgaryCalgary, ABCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-51367-6
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-51366-9
  • Online ISBN 978-3-319-51367-6
  • Series Print ISSN 2190-5428
  • Series Online ISSN 2190-5436
  • Buy this book on publisher's site
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