© 2016

Advances in Network Science

12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings

  • Adam Wierzbicki
  • Ulrik Brandes
  • Frank Schweitzer
  • Dino Pedreschi
Conference proceedings NetSci-X 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9564)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 9564)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Mark Ortmann, Ulrik Brandes
    Pages 1-13
  3. Riccardo Guidotti, Michele Coscia, Dino Pedreschi, Diego Pennacchioli
    Pages 29-42
  4. Adrian Huna, Ivan Srba, Maria Bielikova
    Pages 68-81
  5. Valerio Arnaboldi, Robin I. M. Dunbar, Andrea Passarella, Marco Conti
    Pages 82-96
  6. Katarzyna Baraniak, Marcin Sydow, Jacek Szejda, Dominika Czerniawska
    Pages 97-110
  7. Jean Creusefond, Thomas Largillier, Sylvain Peyronnet
    Pages 111-125
  8. Fredrik Erlandsson, Anton Borg, Henric Johnson, Piotr Bródka
    Pages 126-135
  9. Xerxes D. Arsiwalla, Paul Verschure
    Pages 136-146
  10. Jeffrey H. Johnson
    Pages 147-160
  11. Taras Agryzkov, Pablo Martí, Almudena Nolasco-Cirugeda, Leticia Serrano-Estrada, Leandro Tortosa, José F. Vicent
    Pages 161-168
  12. Buster O. Holzbauer, Boleslaw K. Szymanski, Tommy Nguyen, Alex Pentland
    Pages 178-185
  13. Pedro Paredes, Pedro Ribeiro
    Pages 186-194
  14. Damien Fay, Hamed Haddadi, Michael C. Seto, Han Wang, Christoph Kling
    Pages 195-204
  15. Konstantin Kuzmin, Christopher Gaiteri, Boleslaw K. Szymanski
    Pages 205-212
  16. Back Matter
    Pages 213-213

About these proceedings


This book constitutes the refereed proceedings of the 12th International Conference and School of Network Science, NetSci-X 2016, held in Wroclaw, Poland, in January 2016.

The 12 full and 6 short papers were carefully reviewed and selected from 59 submissions. The papers deal with the study of network models in domains ranging from biology and physics to computer science, from financial markets to cultural integration, and from social media to infectious diseases.


Complexity measures Hypergraph Machine learning Quality functions Social networks Brain networks Collaboration networks Community detection Graph dynamics Hypernetwork Multiplex network Neural dynamics Open collaboration Pagerank vector Public spaces Random graph model Scientific productivity Urban networks User reputation Wikipedia

Editors and affiliations

  • Adam Wierzbicki
    • 1
  • Ulrik Brandes
    • 2
  • Frank Schweitzer
    • 3
  • Dino Pedreschi
    • 4
  1. 1.Polish-Japanese AcademyWarzawPoland
  2. 2.Universität KonstanzKonstanzGermany
  3. 3.ETH ZürichZürichSwitzerland
  4. 4.University of PisaPisaItaly

Bibliographic information