Network Society: Aggregate Topological Models

Alexei Tikhomirov, Alexandr Afanasyev, Nikolay Kinash, Andrey Trufanov, Olga Berestneva, Alessandra Rossodivita, Sergey Gnatyuk, Rustem Umerov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)


Abstract. An innovative approach for analysis of “network society” with its large- scale and multicomponent features has been proposed. A new network model - a model of so-called aggregate networks has been developed as a key tool for such analysis. These aggregate structures topologically are not identical in their global and local scales, and thus distinguished from canonical large-scale networks. It was elicited that aggregate network entities have significant features in their topological vulnerability in comparison with canonical ones. This is crucial for building resilient constructions of the network society. Also some additional distinctions for the concepts of “network” and “graph” have been formulated.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
PublisherSpringer Verlag
Number of pages7
ISBN (Print)9783319136707
Publication statusPublished - 2014
Event13th International Scientific Conference on Information Technologies and Mathematical Modelling, ITMM 2014 - Anzhero-Sudzhensk, Russian Federation
Duration: 20 Nov 201422 Nov 2014

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)18650929


Other13th International Scientific Conference on Information Technologies and Mathematical Modelling, ITMM 2014
CountryRussian Federation


  • aggregate structures
  • complex networks
  • network society
  • ontologies
  • topological vulnerability

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Tikhomirov, A., Afanasyev, A., Kinash, N., Trufanov, A., Berestneva, O., Rossodivita, A., Gnatyuk, S., & Umerov, R. (2014). Network Society: Aggregate Topological Models. In Communications in Computer and Information Science (Vol. 487, pp. 415-421). (Communications in Computer and Information Science; Vol. 487). Springer Verlag.