Modelling and Analysis of the Dynamics of Adaptive Temporal-Causal Network Models for Evolving Social Interactions

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Abstract

Network-Oriented Modelling based on adaptive temporal-causal networks provides a unified approach to model and analyse dynamics and adaptivity of various processes, including mental and social interaction processes. Adaptive temporal-causal network models are based on causal relations by which the states in the net-work change over time, and these causal relations are adaptive in the sense that they themselves also change over time. It is discussed how modelling and analysis of the dynamics of the behaviour of these adaptive network models can be performed. The approach is illustrated for adaptive network models describing social interaction. In particular, the homophily principle and the more becomes more principles for social interactions are addressed.
Original languageEnglish
Article number4
Pages (from-to)1-20
Number of pages20
JournalComputational Social Networks
Volume4
Issue number4
DOIs
Publication statusPublished - 2017

Keywords

  • Adaptive Network
  • Social interaction
  • Temporal-causal network model

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