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Soil: An Agent-Based Social Simulator in Python for Modelling and Simulation of Social Networks

  • Jesús M. Sánchez
  • Carlos A. IglesiasEmail author
  • J. Fernando Sánchez-Rada
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10349)

Abstract

Social networks have a great impact in our lives. While they started to improve and aid communication, nowadays they are used both in professional and personal spheres, and their popularity has made them attractive for developing a number of business models. Agent-based Social Simulation (ABSS) is one of the techniques that has been used for analysing and simulating social networks with the aim of understanding and even forecasting their dynamics. Nevertheless, most available ABSS platforms do not provide specific facilities for modelling, simulating and visualising social networks. This article aims at bridging this gap by introducing an ABSS platform specifically designed for modelling social networks. The main contributions of this paper are: (1) a review and characterisation of existing ABSS platforms; (2) the design of an ABSS platform for social network modelling and simulation; and (3) the development of a number of behaviour models for evaluating the platform for information, rumours and emotion propagation. Finally, the article is complemented by a free and open source simulator.

Keywords

Social Network Social Network Analysis Network Visualisation Social Graph Exponential Random Graph Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This work is supported by the Spanish Ministry of Economy and Competitiveness under the R&D projects SEMOLA (TEC2015-68284-R) and EmoSpaces (RTC-2016-5053-7), by the Regional Government of Madrid through the project MOSI-AGIL-CM (grant P2013/ICE-3019, co-funded by EU Structural Funds FSE and FEDER), and by the European Union through the project MixedEmotions (Grant Agreement no: 141111).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Jesús M. Sánchez
    • 1
  • Carlos A. Iglesias
    • 1
    Email author
  • J. Fernando Sánchez-Rada
    • 1
  1. 1.Intelligent Systems Group, DIT, E.T.S. de Ingenieros de TelecomunicaciónUniversidad Politécnica de MadridMadridSpain

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