Skip to main content

Middle Age Social Networks: A Dynamic Organizational Study

  • Conference paper

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 88))

Abstract

This article describes the main components of the multiagent model and the tool we are designing in order to analyze the structure and the dynamics of an historical social network from the Middle Age. This social network has been built through the discovery of many notarized documents and first studied according to a mathematical approach. Using a customizable multiagent system to simulate the network’s evolution and Markov chain calculus to adjust behavioral parameters, we propose a method to assess behaviors’ importance and effects on the global network’s evolution. From a historical point of view, this multiagent model also aims at explaining this network’s dynamics during some specific periods such as the Hundred Year’s War where numerous notarized documents disappeared.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barabási, A.L., Oltvai, Z.N., Wuchty, S.: Characteristics of biological networks. In: Lect. Notes Phys., vol. 650, pp. 443–457 (2004)

    Google Scholar 

  2. Boulet, R., Hautefeuille, F., Jouve, B., Kuntz, P., Le Goffic, B., Picarougne, F., Villa, N.: Sur l’analyse de réseaux de sociabilité de la société paysanne médiévale. Méthodes Computationnelles pour Modèles et Apprentissages en Sciences Humaines et Sociales, Brest (2007)

    Google Scholar 

  3. Boulet, R., Jouve, B.: Partitionnement d’un réseau de sociabilité à fort coefficient de clustering. Revue des Nouvelles Technologies de l’Information (9), 569–574 (2007)

    Google Scholar 

  4. Boulet, R., Jouve, B., Rossi, F., Villa, N.: Batch kernel SOM and related Laplacian methods for social network analysis. Neurocomputing 71(7–9), 1257–1273 (2008)

    Article  Google Scholar 

  5. Boulet, R.: Comparaison de graphes, application aux réseaux de sociabilités paysans du moyen âge. PhD Thesis in mathematics, Université de Toulouse (2008)

    Google Scholar 

  6. Costa, A.R., Demazeau, Y.: Towards a formal model of multi-agent systems with dynamic organizations. In: Proceedings of the Int. Conf. on Multi-Agent Systems, Kyoto, Japan, p. 431. MIT Press publisher, Cambridge (1996)

    Google Scholar 

  7. Demazeau, Y.: From Cognitive Interactions to Collective Behaviour in Agent-Based Systems. In: 1st European Conference on Cognitive Science, Saint-Malo, pp. 117–132 (1995)

    Google Scholar 

  8. Hautefeuille, F., Jouve, B.: Analyse d’une base de données de contrats agraires pour comprendre l’espace et la société paysanne du Moyen-Age. In: Séminaire Grands Réseaux d’Interactions (invited speaker). LIAFA, Paris (2004)

    Google Scholar 

  9. Hautefeuille, F.: L’extraordinaire ascension d’une famille de marchands de Castelnau-Montratier (46): Les Trapas (1250-1350), dans Minorités juives, pouvoirs, littérature politique en péninsule ibérique, France et Italie au Moyen Age, études offertes à Béatrice Leroy, édition Atlantica, pp. 51-64 (2006)

    Google Scholar 

  10. Hautefeuille, F., Jouve, B.: Modélisation des réseaux sociaux des communautés paysannes de fin du Moyen Age. In: Population and Language Change Int. Work.p Lacito, Villejuif (2010)

    Google Scholar 

  11. Laurent, T., Villa-Vialaneix, N.: Analysis of the influence of a network on the values of its nodes: the use of spatial indexes. In: Proceedings of MARAMI 2010, Toulouse (2010)

    Google Scholar 

  12. Tatlor, H.M., Karlin, S.: Introduction to stochastic modeling, 3rd edn (1998)

    Google Scholar 

  13. Villa, N., Rossi, F., Trong, Q.D.: Mining a medieval social network by kernel SOM and related methods. In: Proceedings of MASHS 2008 Modèles et Apprentissages en Sciences Humaines et Sociales, Créteil (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lacomme, L., Camps, V., Demazeau, Y., Hautefeuille, F., Jouve, B. (2011). Middle Age Social Networks: A Dynamic Organizational Study. In: Demazeau, Y., Pěchoucěk, M., Corchado, J.M., Pérez, J.B. (eds) Advances on Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19875-5_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-19875-5_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19874-8

  • Online ISBN: 978-3-642-19875-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics