publication . Doctoral thesis . 2014

Narrowing the gap between network models and real complex systems

Viamontes Esquivel, Alcides;
Open Access English
  • Published: 01 Jan 2014
  • Publisher: Umeå universitet, Institutionen för fysik
  • Country: Sweden
Abstract
Simple network models that focus only on graph topology or, at best, basic interactions are often insufficient to capture all the aspects of a dynamic complex system. In this thesis, I explore those limitations, and some concrete methods of resolving them. I argue that, in order to succeed at interpreting and influencing complex systems, we need to take into account  slightly more complex parts, interactions and information flows in our models.This thesis supports that affirmation with five actual examples of applied research. Each study case takes a closer look at the dynamic of the studied problem and complements the network model with techniques from informat...
Subjects
free text keywords: complex systems, network science, community detection, model selection, signficance analysis, ergodicity, Physical Sciences, Fysik
Related Organizations

[4] Tom M. Apostol. Mathematical Analysis, volume 11. 1974.

[6] K. E. Batcher. On Bitonic Sorting Networks. ICPP (1), 1990.

[15] Friedrich Engels. Dialectics of Nature. Wellred Publications, 1927.

[16] P. Erdős. The Evolution of Random Graphs. Magyar Tud. Akad. Mat. Kutató Int. Közl., 5:17 - 61, 1960.

Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue