Online Social Media Analysis and Visualization

  • Jalal Kawash

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

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Debanjan Mahata, Nitin Agarwal
    Pages 1-25
  3. Jun Ito, Kyosuke Nishida, Takahide Hoshide, Hiroyuki Toda, Tadasu Uchiyama
    Pages 27-46
  4. Jalal S. Alowibdi, Ugo A. Buy, Philip S. Yu
    Pages 47-62
  5. Luigi Grimaudo, Han Hee Song, Mario Baldi, Marco Mellia, Maurizio Munafò
    Pages 63-79
  6. Shi Shi, Thomas Largillier, Julita Vassileva
    Pages 99-127
  7. Alexandru Topirceanu, Mihai Udrescu, Mircea Vladutiu
    Pages 163-179
  8. Tilman Göhnert, Andreas Harrer, Tobias Hecking, H. Ulrich Hoppe
    Pages 181-199
  9. Fatemeh Hendijani Fard, Behrouz H. Far
    Pages 201-228
  10. Back Matter
    Pages 229-233

About this book

Introduction

This edited volume addresses the vast challenges of adapting Online Social Media (OSM) to developing research methods and applications. The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others. Each of the ten chapters tackle one or more of these issues by proposing new analysis methods or new visualization techniques, or both, for famous OSM applications such as Twitter and Facebook. This collection of contributed chapters address these challenges. Online Social Media has become part of the daily lives of hundreds of millions of users generating an immense amount of 'social content'. Addressing the challenges that stem from this wide adaptation of OSM is what makes this book a valuable contribution to the field of social networks.

Keywords

Interpreting Social Networks Online Social Media Applications Social Network Analysis Social Network Visualization Topologies of Social Networks Visual Analytics for Social Networks Workflow Tools for Network Analysis

Editors and affiliations

  • Jalal Kawash
    • 1
  1. 1.Department of Computer ScienceUniversity of CalgaryCalgaryCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-13590-8
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-13589-2
  • Online ISBN 978-3-319-13590-8
  • Series Print ISSN 2190-5428
  • Series Online ISSN 2190-5436
  • About this book