In this letter, we propose a continuous-time dynamics for social network that represents patterns of both amity and enmity through directed signed graphs. The introduction of discrepancies between true and perceived sentiments gives rise to a non-autonomous system and distinguishes itself from the prior models. We show that for almost all initial configurations, the system will evolve into at most four factions. Under some mild assumptions on the initial conditions, structural balance with at most two factions can be achieved, which extends the previous results for symmetric or normal initial configurations without considering the effect of perceived sentiment
Structural balance theory describes stable configurations of topologies of signed interpersonal appr...
We investigate opinion dynamics as a stochastic process in social networks. We introduce the stubbor...
There is a longstanding belief that in social networks with simultaneous friendly and hostile intera...
In this letter, we propose a continuous-time dynamics for social network that represents patterns of...
Structural balance theory has been developed in sociology and psychology to explain how interacting ...
Abstract—The aim of this paper is to shed light on how the social relationships between individuals ...
The aim of this paper is to shed light on how the social relationships between individuals influence...
The mutual feedback mechanism between system structure and system function is the ‘hot spot’ of a co...
A biased assimilation model of opinion dynamics is a nonlinear model, in which opinions exchanged in...
There is a longstanding belief that in social networks with simultaneous friendly and hostile intera...
How do social networks evolve when both friendly and unfriendly relations exist? Here we propose a s...
Inconsistencies in the empirical support for balance theory are often explained by recourse to compe...
Signed networks have long been used to represent social relations of amity (+) and enmity (-) betwee...
Most of the distributed protocols for multi-agent consensus assume that the agents are mutually coop...
Since the 1940s there has been an interest in the question of why social networks often give rise to...
Structural balance theory describes stable configurations of topologies of signed interpersonal appr...
We investigate opinion dynamics as a stochastic process in social networks. We introduce the stubbor...
There is a longstanding belief that in social networks with simultaneous friendly and hostile intera...
In this letter, we propose a continuous-time dynamics for social network that represents patterns of...
Structural balance theory has been developed in sociology and psychology to explain how interacting ...
Abstract—The aim of this paper is to shed light on how the social relationships between individuals ...
The aim of this paper is to shed light on how the social relationships between individuals influence...
The mutual feedback mechanism between system structure and system function is the ‘hot spot’ of a co...
A biased assimilation model of opinion dynamics is a nonlinear model, in which opinions exchanged in...
There is a longstanding belief that in social networks with simultaneous friendly and hostile intera...
How do social networks evolve when both friendly and unfriendly relations exist? Here we propose a s...
Inconsistencies in the empirical support for balance theory are often explained by recourse to compe...
Signed networks have long been used to represent social relations of amity (+) and enmity (-) betwee...
Most of the distributed protocols for multi-agent consensus assume that the agents are mutually coop...
Since the 1940s there has been an interest in the question of why social networks often give rise to...
Structural balance theory describes stable configurations of topologies of signed interpersonal appr...
We investigate opinion dynamics as a stochastic process in social networks. We introduce the stubbor...
There is a longstanding belief that in social networks with simultaneous friendly and hostile intera...