https://doi.org/10.1140/epjst/e2013-01926-8
Editorial
Advances in dynamic temporal networks: Understanding the temporal dynamics of complex adaptive networks
1 University of Amsterdam, The Netherlands
2 Research Institute ITMO, St. Petersburg, Russian Federation
3 Complexity Program, Nanyang Technological University, Singapore
4 Lorand Eötvös University, Budapest, Hungary
5 Aitia International, Inc. , Budapest, Hungary
6 PetaByte Research Ltd., Budapest, Hungary
7 DFKI (German Research Insitute for Artificial Intelligence), Trippstadter Strasse 122, 67663 Kaiserslautern, Germany
a e-mail: p.m.a.sloot@uva.nl
b e-mail: gk@hps.elte.hu
c e-mail: gulyas@petabyte-research.org
Received: 3 June 2013
Revised: 10 July 2013
Published online:
13
September
2013
Complex networks have been extensively studied in the past 15 years and with increasing details. However, research on the temporal dynamics of complex networks is largely a new territory yet to map out. The present volume presents a collection of papers dealing with various aspects of the problem and this editorial introduces the field as well as the papers.
© EDP Sciences, Springer-Verlag, 2013