Abstract
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 language | English |
|---|---|
| Title of host publication | Communications in Computer and Information Science |
| Publisher | Springer Verlag |
| Pages | 415-421 |
| Number of pages | 7 |
| Volume | 487 |
| ISBN (Print) | 9783319136707 |
| Publication status | Published - 2014 |
| Event | 13th International Scientific Conference on Information Technologies and Mathematical Modelling, ITMM 2014 - Anzhero-Sudzhensk, Russian Federation Duration: 20 Nov 2014 → 22 Nov 2014 |
Publication series
| Name | Communications in Computer and Information Science |
|---|---|
| Volume | 487 |
| ISSN (Print) | 18650929 |
Other
| Other | 13th International Scientific Conference on Information Technologies and Mathematical Modelling, ITMM 2014 |
|---|---|
| Country | Russian Federation |
| City | Anzhero-Sudzhensk |
| Period | 20.11.14 → 22.11.14 |
Keywords
- aggregate structures
- complex networks
- network society
- ontologies
- topological vulnerability
ASJC Scopus subject areas
- Computer Science(all)
Cite this
Network Society : Aggregate Topological Models. / Tikhomirov, Alexei; Afanasyev, Alexandr; Kinash, Nikolay; Trufanov, Andrey; Berestneva, Olga; Rossodivita, Alessandra; Gnatyuk, Sergey; Umerov, Rustem.
Communications in Computer and Information Science. Vol. 487 Springer Verlag, 2014. p. 415-421 (Communications in Computer and Information Science; Vol. 487).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Network Society
T2 - Aggregate Topological Models
AU - Tikhomirov, Alexei
AU - Afanasyev, Alexandr
AU - Kinash, Nikolay
AU - Trufanov, Andrey
AU - Berestneva, Olga
AU - Rossodivita, Alessandra
AU - Gnatyuk, Sergey
AU - Umerov, Rustem
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - aggregate structures
KW - complex networks
KW - network society
KW - ontologies
KW - topological vulnerability
UR - http://www.scopus.com/inward/record.url?scp=84915750751&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84915750751&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84915750751
SN - 9783319136707
VL - 487
T3 - Communications in Computer and Information Science
SP - 415
EP - 421
BT - Communications in Computer and Information Science
PB - Springer Verlag
ER -