In network models for real-world domains, often network adaptation has to be addressed by
incorporating certain network adaptation principles. In some cases, also higher order …

This paper presents a dynamic modeling approach that enables to design complex high
level conceptual representations of models in the form of causal-temporal networks, which …

A self-modeling network for some base network is a network extension that represents part
of the base network structure by a self-model in terms of added network nodes and …

Usually dynamic properties of models can be analysed by conducting simulation
experiments. But sometimes, as a kind of prediction properties can also be found by …

This paper present a multi-adaptive network model integrating multiple adaptation
mechanisms, specifically focusing on five types of such adaptation mechanisms. Two of …

YouTube offers a great opportunity for people to entertain, advertise, gain popularity, and
generate revenue. How to increase views for a video has become the key question for …

This paper introduces an integrated adaptive temporal-causal network model for dynamics
in networks of social interactions addressing contagion between states, and changing …

The synchronization of autonomic arousal levels within dyads and larger teams has become
a potentially important variable in the explanation of team performance and group …

To address complexity of modeling the world's processes, over the years in different
scientific disciplines isolation and separation assumptions have been made, and in some …

In this paper, it has been illustrated how a network-oriented modeling approach based on
temporal-causal networks can be used to model adaptive processes in different domains …