Skip to main content

Network Society: Aggregate Topological Models

  • Conference paper
Book cover Information Technologies and Mathematical Modelling (ITMM 2014)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barney, D.D.: The Network Society, p. 216. Polity Press, Malden (2004)

    Google Scholar 

  2. Castells, M.: Informationalism, networks, and the network society: a theoretical blueprint. Edward Elgar, Northampton (2004)

    Google Scholar 

  3. van Dijk, J.: Outline of a multilevel theory of the network society, http://www.utwente.nl/gw/vandijk/research/network_theory/network_theory_plaatje/a_theory_outline_outline_of_a/

  4. Li, W., Bashan, A., Buldyrev, S.V., Stanley, H.E., Havlin, S.: Cascading Failures in Interdependent Lattice Networks: The Critical Role of the Length of Dependency Links. Physical Review Letters PRL 108, 228702 (2012)

    Article  Google Scholar 

  5. Gomez-Gardenes, J., Reinares, I., Arenas, A., Floria, L.M.: Evolution of Cooperation in Multiplex Networks. Sci. Rep. 2, 620 (2012), http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3431544/pdf/srep00620.pdf

    Article  Google Scholar 

  6. Frivolt, G.: Analysis of Massive Networks. In: Bielikova, M. (ed.) IIT.SRC, pp. 35–40 (2005)

    Google Scholar 

  7. Perumal, S., Basu, P., Guan, G.: Minimizing Eccentricity in Composite Networks via Constrained Edge Additions. In: MILCOM 2013, San Diego, CA (November 2013), http://www.ir.bbn.com/~pbasu/pubs/milcom2013-composite.pdf

  8. Leskovec, J.: Dynamics of large networks. PhD Dissertation. Carnegie Mellon University. Technical report CMU-ML-08-111 (2008)

    Google Scholar 

  9. Aminova, M., Rossodivita, A., Tikhomirov, A., Trufanov, A.: Comprehensive network lace (how to govern the world). Proceedings of Free Economic Society of Russia 148, 190–207 (2011), http://www.iuecon.org/2011/148/20VEOR_PRINT.pdf

    Google Scholar 

  10. Frye, L., Cheng, L., Heflin, J.: An Ontology-Based System to Identify Complex Network Attacks. In: First IEEE International Workshop on Security and Forensics in Communication Systems, part of IEEE International Conference on Communications 2012, Ottawa, Canada (2012), http://swat.cse.lehigh.edu/pubs/frye12a.pdf

  11. Graph-tool, http://graph-tool.skewed.de/

  12. Dunbar, R.I.M.: Neocortex size as a constraint on group size in primates. Journal of Human Evolution 22(6), 469–493 (1992)

    Article  MathSciNet  Google Scholar 

  13. Skitter, http://konect.uni-koblenz.de/networks/as-skitter

  14. Flickr, http://konect.uni-koblenz.de/networks/flickr-links

  15. Igraph, http://igraph.org/python/

  16. Matplotlib Pyplot, http://matplotlib.org/api/pyplot_api.html

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Tikhomirov, A. et al. (2014). Network Society: Aggregate Topological Models. In: Dudin, A., Nazarov, A., Yakupov, R., Gortsev, A. (eds) Information Technologies and Mathematical Modelling. ITMM 2014. Communications in Computer and Information Science, vol 487. Springer, Cham. https://doi.org/10.1007/978-3-319-13671-4_47

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-13671-4_47

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13670-7

  • Online ISBN: 978-3-319-13671-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics