© 2014

Social Networks: Analysis and Case Studies

  • Şule Gündüz-Öğüdücü
  • A. Şima Etaner-Uyar

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

Table of contents

  1. Front Matter
    Pages i-xx
  2. Nagehan İlhan, Şule Gündüz-Öğüdücü, A. Şima Etaner-Uyar
    Pages 1-18
  3. Lule Ahmedi, Lavdim Halilaj, Gëzim Sejdiu, Labinot Bajraktari
    Pages 19-40
  4. Fatemeh Hendijani Fard, Behrouz H. Far
    Pages 41-60
  5. David B. Skillicorn, Quan Zheng
    Pages 61-81
  6. Fabiola Bertolotti, Maria Rita Tagliaventi
    Pages 83-104
  7. Alessia Amelio, Clara Pizzuti
    Pages 105-125
  8. Zehra Çataltepe, Abdullah Sönmez
    Pages 127-148
  9. Francesco Buccafurri, Gianluca Lax, Antonino Nocera, Domenico Ursino
    Pages 149-177
  10. Lei Chen, Mingxuan Yuan
    Pages 179-231
  11. Tiziana Guzzo, Alessia D’Andrea, Fernando Ferri, Patrizia Grifoni
    Pages 233-248
  12. Back Matter
    Pages 249-249

About this book


The present volume provides a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health.  With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development, Social Network Analysis gained in importance as a research field, while opening up many opportunities in different application domains. Forming a bridge between theory and applications makes this work appealing to both academics and practitioners as well as graduate students.


Classifications in Social Evolution of e-health services Heterogeneous agent based systems Privacy and Ethics in Social Network Analysis Social Network tutorials social networks with directed type edges

Editors and affiliations

  • Şule Gündüz-Öğüdücü
    • 1
  • A. Şima Etaner-Uyar
    • 2
  1. 1.Computer and Informatics DepartmentIstanbul Technical UniversityIstanbulTurkey
  2. 2.Computer Engineering DepartmentIstanbul Technical UniversityIstanbulTurkey

Bibliographic information


“Experts in the field of social networks aim to help readers grasp the state of the art in the topic of network-based representation and analysis in this collection of papers. … the editors give readers a snapshot of recent work by presenting in each chapter a self-contained paper from different experts in the field. … recommend the book to anyone that wants to quickly get a grasp on the heterogeneity of subtopics that are studied in the social networks domain.” (Sergio Queiroz, Computing Reviews, April, 2015)