An earlier proposed temporal-causal network model for mutual absorption of emotions aims to model emotion contagion in networks using characteristics such as traits of openness and expressiveness of the members of the network, and the strengths of the connections between them. The speed factors describing how fast emotional states change, were modeled based on these characteristics according to a fixed dependence relation. In this paper, particular implications of this choice are analyzed. Based on this analysis, a refinement of the model is proposed, offering alternative ways of modeling speed factors. This refinement is also analyzed and evaluated
Network-Oriented Modelling based on adaptive temporal-causal networks provides a unified approach to...
Most of the emotion theories consider appraisal as the major component in an emotional episode. The ...
This study describes the use of adaptive temporal-causal networks to model and simulate the developm...
In this paper a cognitive model is presented for sharing behaviour (retweeting) on Twitter, addressi...
This contribution presents a Network-Oriented Modelling approach based on temporal-causal networks. ...
The study reported in this paper investigates an adaptive temporal-causal network-model for emotion ...
This paper introduces a temporal-causal network model that describes the recognition of emotions sho...
This paper discusses how Network-Oriented Modelling based on adaptive temporal-causal networks can b...
This paper introduces an integrated temporal-causal model for dynamics in social networks addressing...
Multivariate psychological processes have recently been studied, visualized, and analyzed as network...
Multivariate psychological processes have recently been studied, visualized, and analyzed as network...
Religion has been extensively studied from many different perspectives. The current study aims at in...
In this paper we describe a temporal-causal model for the spread of messages in disaster situations ...
This paper first describes a temporal-causal network model for recognition of emotions shown by othe...
Social network analysis commonly focuses on the relationships between two actors that could represen...
Network-Oriented Modelling based on adaptive temporal-causal networks provides a unified approach to...
Most of the emotion theories consider appraisal as the major component in an emotional episode. The ...
This study describes the use of adaptive temporal-causal networks to model and simulate the developm...
In this paper a cognitive model is presented for sharing behaviour (retweeting) on Twitter, addressi...
This contribution presents a Network-Oriented Modelling approach based on temporal-causal networks. ...
The study reported in this paper investigates an adaptive temporal-causal network-model for emotion ...
This paper introduces a temporal-causal network model that describes the recognition of emotions sho...
This paper discusses how Network-Oriented Modelling based on adaptive temporal-causal networks can b...
This paper introduces an integrated temporal-causal model for dynamics in social networks addressing...
Multivariate psychological processes have recently been studied, visualized, and analyzed as network...
Multivariate psychological processes have recently been studied, visualized, and analyzed as network...
Religion has been extensively studied from many different perspectives. The current study aims at in...
In this paper we describe a temporal-causal model for the spread of messages in disaster situations ...
This paper first describes a temporal-causal network model for recognition of emotions shown by othe...
Social network analysis commonly focuses on the relationships between two actors that could represen...
Network-Oriented Modelling based on adaptive temporal-causal networks provides a unified approach to...
Most of the emotion theories consider appraisal as the major component in an emotional episode. The ...
This study describes the use of adaptive temporal-causal networks to model and simulate the developm...