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 network 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. It is shown how the chosen Network-Oriented Modelling method provides a basis to model and analyse these social phenomena.

中文翻译：

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自适应时间因果网络模型动力学的建模和分析，以适应不断发展的社会互动。

基于自适应时间因果网络的面向网络的建模提供了一种统一的方法来建模和分析各种过程的动态和适应性，包括心理和社会互动过程。自适应时间-因果网络模型基于网络中的状态随时间变化的因果关系，这些因果关系在它们本身也随时间变化的意义上是自适应的。讨论了如何对这些自适应网络模型的行为动力学进行建模和分析。该方法用于描述社交互动的自适应网络模型。特别是，同质性原则和社会互动的“更多变得更多”原则得到解决。