Skip to main content

Do Network Models Just Model Networks? On the Applicability of Network-Oriented Modeling

  • Conference paper
  • First Online:
3rd International Winter School and Conference on Network Science (NetSci-X 2017)

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Included in the following conference series:

Abstract

In this paper for a Network-Oriented Modelling perspective based on temporal-causal networks it is analysed how generic and applicable it is as a general modelling approach and as a computational paradigm. This results in an answer to the question in the title different from: network models do just model networks!

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 EPUB and 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
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Treur, J.: Network-oriented modelling and its conceptual foundations. In: Proceeding of the 8th International Conference on Social Informatics, SocInfo'16. Lecture Notes in AI. Springer Publishers, Barcelona (2016)

    Google Scholar 

  2. Treur, J.: Network-Oriented Modeling: Addressing Complexity of Cognitive, Affective and Social Interactions. Understanding Complex Systems Series. Springer, Barcelona (2016)

    Book  MATH  Google Scholar 

  3. Chung, B., Choi, H., Kim, S.: Workflow-enabled internet service delivery for a variety of access networks. In: The 7th Asia-Pacific Network Operations and Management Symposium, APNOMS (2003)

    Google Scholar 

  4. Naudé, A., Le Maitre, D., de Jong, T., Mans, G. F. G., & Hugo, W.: Modelling of spatially complex human-ecosystem, rural-urban and rich-poor interactions (2008)

    Google Scholar 

  5. Elzas, M.S.: Organizational structures for facilitating process innovation. In: Real Time Control of Large Scale Systems, pp. 151–163). Springer, Berlin (1985)

    Google Scholar 

  6. Dubois, D., Lang, J., Prade, H.: Fuzzy sets in approximate reasoning, part 2: logical approaches. Fuzzy Sets Syst. 40, 203–244 (1991)

    Article  MATH  Google Scholar 

  7. Cottret, L., Jourdan, F.: Graph methods for the investigation of metabolic networks in parasitology. Parasitology. 137, 1393–1407 (2010)

    Article  Google Scholar 

  8. Russer, P., Cangellaris, A.C.: Network-oriented modeling, complexity reduction and system identification techniques for electromagnetic systems. In Proceeding of the 4th International Workshop on Computational Electromagnetics in the Time-Domain: TLM/FDTD and Related Techniques, pp. 105–122 (2001)

    Google Scholar 

  9. Treur, J.: Dynamic modelling based on a temporal-causal network modelling approach. Biol. Inspired Cognit. Archit. 16, 131–168 (2016)

    Article  Google Scholar 

  10. Mooij, J.M., Janzing, D., Schölkopf, B.: From differential equations to structural causal models: the deterministic case. In: Nicholson, A., Smyth, P. (eds.) Proceedings of the 29th Annual Conference on Uncertainty in Artificial Intelligence (UAI-13), pp. 440–448. AUAI Press, Corvallis (2011)

    Google Scholar 

  11. Pearl, J.: Causality. Cambridge University Press, New York (2000)

    MATH  Google Scholar 

  12. Wright, S.: Correlation and Causation. J. Agric. Res. 20, 557–585 (1921)

    Google Scholar 

  13. Dubois, D., Prade, H.: Possibility theory, probability theory and multiple-valued logics: a clarification. Ann. Math. Artif. Intell. 32, 35–66 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  14. Zadeh, L.: Fuzzy sets as the basis for a theory of possibility. Fuzzy Sets and Systems, 1, 3–28, (1978). (Reprinted in Fuzzy Sets and Systems 100 (Supplement): 9–34, 1999)

    Google Scholar 

  15. Grossberg, S.: On learning and energy-entropy dependence in recurrent and nonrecurrent signed networks. J. Stat. Phys. 1, 319–350 (1969)

    Article  ADS  MathSciNet  Google Scholar 

  16. Hirsch, M.: Convergent activation dynamics in continuous-time networks. Neural Netw. 2, 331–349 (1989)

    Article  Google Scholar 

  17. Hopfield, J.J.: Neurons with graded response have collective computational properties like those of two-state neurons. Proc. Nat. Acad. Sci. U.S.A. 81, 3088–3092 (1984)

    Article  ADS  Google Scholar 

  18. Port, R.F., van Gelder, T.: Mind as Motion: Explorations in the Dynamics of Cognition. MIT Press, Cambridge (1995)

    Google Scholar 

  19. Ashby, W.R.: Design for a Brain. Chapman and Hall, London (second extended edition). First edition, 1952 (1960)

    Google Scholar 

  20. van Gelder T., Port, R.F.: It’s about time: An overview of the dynamical approach to cognition. In: Port, R.F., van Gelder, T.: Mind as Motion: Explorations in the Dynamics of Cognition, pp. 1–43. MIT Press, Cambridge (1995)

    Google Scholar 

  21. Funahashi, K., Nakamura, Y.: Approximation of dynamical systems by continuous time recurrent neural networks. Neural Netw. 6, 801–806 (1993)

    Article  Google Scholar 

  22. Sarjoughian, H., Cellier, F.E. (eds.): Discrete Event Modeling and Simulation Technologies: A Tapestry of Systems and AI-Based Theories and Methodologies. Spring-Verlag, Berlin (2001)

    MATH  Google Scholar 

  23. Uhrmacher, A., Schattenberg, B.: Agents in discrete event simulation. In: Proceedings of the European Symposium on Simulation (ESS ‘98, Nottingham, England, Oct.). Society for Computer Simulation, San Diego (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jan Treur .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Treur, J. (2017). Do Network Models Just Model Networks? On the Applicability of Network-Oriented Modeling. In: Shmueli, E., Barzel, B., Puzis, R. (eds) 3rd International Winter School and Conference on Network Science . NetSci-X 2017. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-55471-6_3

Download citation

Publish with us

Policies and ethics