The Influence of Technology on Social Network Analysis and Mining

  • Tansel Özyer
  • Jon Rokne
  • Gerhard Wagner
  • Arno H.P. Reuser

Part of the Lecture Notes in Social Networks book series (LNSN, volume 6)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Christian von der Weth, Klemens Böhm, Christian Hütter
    Pages 21-47
  3. Luca Cagliero, Alessandro Fiori
    Pages 75-100
  4. Klaus Stein, René Wegener, Christoph Schlieder
    Pages 101-127
  5. Verónica Rivera-Pelayo, Simone Braun, Uwe V. Riss, Hans Friedrich Witschel, Bo Hu
    Pages 129-156
  6. Wei Fan, Kai-Hau Yeung
    Pages 185-199
  7. Pål Roe Sundsøy, Johannes Bjelland, Geoffrey Canright, Kenth Engø-Monsen, Rich Ling
    Pages 201-225
  8. Wen Haw Chong, Wei Shan Belinda Toh, Loo Nin Teow
    Pages 255-273
  9. Patrick Siehndel, Fabian Abel, Ernesto Diaz-Aviles, Nicola Henze, Daniel Krause
    Pages 275-301
  10. Ronald Nussbaum, Abdol-Hossein Esfahanian, Pang-Ning Tan
    Pages 331-349
  11. Judith Gelernter, Dong Cao, Kathleen M. Carley
    Pages 351-372
  12. Mohammad Moshirpour, Shimaa M. El-Sherif, Behrouz H. Far, Reda Alhajj
    Pages 393-409
  13. Matteo Magnani, Danilo Montesi, Luca Rossi
    Pages 411-426
  14. Ilham Esslimani, Armelle Brun, Anne Boyer
    Pages 455-470
  15. Lyta Penna, Andrew Clark, George Mohay
    Pages 471-495
  16. Rania Soussi, Etienne Cuvelier, Marie-Aude Aufaure, Amine Louati, Yves Lechevallier
    Pages 521-545
  17. Christine Moser, Peter Groenewegen, Marleen Huysman
    Pages 547-561
  18. Omair Shafiq, Tamer N. Jarada, Panagiotis Karampelas, Reda Alhajj, Jon G. Rokne
    Pages 589-613
  19. Mikolaj Morzy
    Pages 615-630
  20. Ozan B. Fikir, İlker O. Yaz, Tansel Özyer
    Pages 631-643

About this book


The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant messaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of SNAM in academia, politics, homeland security and business. This follows the pattern of known entities of our society that have evolved into networks in which actors are increasingly dependent on their structural embedding General areas of interest to the book include information science and mathematics, communication studies, business and organizational studies, sociology, psychology, anthropology, applied linguistics, biology and medicine.

Editors and affiliations

  • Tansel Özyer
    • 1
  • Jon Rokne
    • 2
  • Gerhard Wagner
    • 3
  • Arno H.P. Reuser
    • 4
  1. 1.Department of Computer EngineeringTOBB UniversitySogutozu AnkaraTurkey
  2. 2.Computer ScienceUniversity of CalgaryCalgaryCanada
  3. 3.IPSCEuropean Commission Joint Research Cent.IspraItaly
  4. 4.LeidenNetherlands

Bibliographic information