Network Society: Aggregate Topological Models

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

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

20 Цитирования (Scopus)

Аннотация

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.

Язык оригиналаАнглийский
Название основной публикацииCommunications in Computer and Information Science
ИздательSpringer Verlag
Страницы415-421
Число страниц7
Том487
ISBN (печатное издание)9783319136707
СостояниеОпубликовано - 2014
Событие13th International Scientific Conference on Information Technologies and Mathematical Modelling, ITMM 2014 - Anzhero-Sudzhensk, Российская Федерация
Продолжительность: 20 ноя 201422 ноя 2014

Серия публикаций

НазваниеCommunications in Computer and Information Science
Том487
ISSN (печатное издание)18650929

Другое

Другое13th International Scientific Conference on Information Technologies and Mathematical Modelling, ITMM 2014
СтранаРоссийская Федерация
ГородAnzhero-Sudzhensk
Период20.11.1422.11.14

ASJC Scopus subject areas

  • Computer Science(all)

Цитировать

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