In this chapter, the role of subjective elements and control in social network adaptation is analysed computationally. In particular, it is analysed: (1) how the coevolution of social contagion and bonding by homophily may be controlled by the persons involved, and (2) how subjective representation states (e.g., what they know) can play a role in this coevolution and its control. To address this, a second-order adaptive social network model is presented in which persons do have a form of control over the coevolution process, and, in relation to this, their bonding depends on their subjective representation states about themselves and about each other, and social contagion depends on their subjective representation states about their connect...
To develop a general mathematical model for social networks is one of the fundamental tasks currentl...
The interactions between a person and his or her primary caregiver shape the attachment pattern blue...
A number of studies in the network science literature have attempted to model the effect of network ...
In this chapter, the role of subjective elements and control in social network adaptation is analyse...
This chapter contributes an analysis of how in mental and social processes, humans often apply speci...
In this chapter it is analysed how emerging behaviour in an adaptive social network for bonding can ...
This paper contributes an analysis of how in mental and social processes, humans often apply specifi...
Humans are organized in societies, a phenomenon that would never have been possible without the evol...
Within their mental and social processes, humans often learn, adapt and apply specific mental models...
Recent years have witnessed a significant trend towards filling the gap between Social Network Analy...
Networks provide an intuitive, declarative way of modeling with a wide scope of applicability. In ma...
This paper advances theories of social learning through an empirical examination of how social netwo...
In this paper it is analysed how community formation in an adaptive network for bonding based on sim...
This study describes the use of adaptive temporal-causal networks to model and simulate the developm...
This study describes the use of adaptive temporal-causal networks to model and simulate the developm...
To develop a general mathematical model for social networks is one of the fundamental tasks currentl...
The interactions between a person and his or her primary caregiver shape the attachment pattern blue...
A number of studies in the network science literature have attempted to model the effect of network ...
In this chapter, the role of subjective elements and control in social network adaptation is analyse...
This chapter contributes an analysis of how in mental and social processes, humans often apply speci...
In this chapter it is analysed how emerging behaviour in an adaptive social network for bonding can ...
This paper contributes an analysis of how in mental and social processes, humans often apply specifi...
Humans are organized in societies, a phenomenon that would never have been possible without the evol...
Within their mental and social processes, humans often learn, adapt and apply specific mental models...
Recent years have witnessed a significant trend towards filling the gap between Social Network Analy...
Networks provide an intuitive, declarative way of modeling with a wide scope of applicability. In ma...
This paper advances theories of social learning through an empirical examination of how social netwo...
In this paper it is analysed how community formation in an adaptive network for bonding based on sim...
This study describes the use of adaptive temporal-causal networks to model and simulate the developm...
This study describes the use of adaptive temporal-causal networks to model and simulate the developm...
To develop a general mathematical model for social networks is one of the fundamental tasks currentl...
The interactions between a person and his or her primary caregiver shape the attachment pattern blue...
A number of studies in the network science literature have attempted to model the effect of network ...