Models that provide insight into how extreme positions regarding any social phenomenon may spread in a society or at the global scale are of great current interest. A realistic model must account for the fact that globalization and internet have given rise to scale-free networks of interactions between people. We propose a novel model which takes into account the nature of the interactions network, and provides some key insights into this phenomenon, including: (1) There is a fundamental difference between a hierarchical network whereby people are influenced by those that are higher on the hierarchy but not by those below them, and a symmetrical network where person-on-person influence works mutually. (2) A few "fanatics" can influence a la...
In 1997, Robert Axelrod wondered in a highly influential paper "If people tend to become more alike ...
In this paper we analyze emergent collective phenomena in the evolution of opinions in a society str...
Complexity science has proven extremely successful in describing systems from a wide range of domain...
'Models that provide insight into how extreme opinions about any social phenomenon may spread in a s...
We simulate the dynamics of diffusion and establishment of norms, variants adopted by the ma-jority ...
In human societies, people's willingness to compete and strive for better social status, as well as ...
The term ‘viral’ is used to describe a phenomenon that tends to be shared by those who encounter it....
In many social situations, a discrepancy arises between an individual’s private and expressed opinio...
A fundamental aspect of society is the exchange and discussion of opinions between individuals, occu...
Despite there are different models in literature that analyze the dynamic of opinion formation, less...
We study opinion dynamics on complex social networks where each individual holding a binary opinion ...
Individuals accepting an idea may intentionally or unintentionally impose influences in a certain ne...
Some behaviors, ideas or technologies spread and become persistent in society, whereas others vanish...
This thesis involved designing and conducting numerical simulations on synthetic social networks to ...
In 1997, Robert Axelrod wondered in a highly influential paper "If people tend to become more alike ...
In 1997, Robert Axelrod wondered in a highly influential paper "If people tend to become more alike ...
In this paper we analyze emergent collective phenomena in the evolution of opinions in a society str...
Complexity science has proven extremely successful in describing systems from a wide range of domain...
'Models that provide insight into how extreme opinions about any social phenomenon may spread in a s...
We simulate the dynamics of diffusion and establishment of norms, variants adopted by the ma-jority ...
In human societies, people's willingness to compete and strive for better social status, as well as ...
The term ‘viral’ is used to describe a phenomenon that tends to be shared by those who encounter it....
In many social situations, a discrepancy arises between an individual’s private and expressed opinio...
A fundamental aspect of society is the exchange and discussion of opinions between individuals, occu...
Despite there are different models in literature that analyze the dynamic of opinion formation, less...
We study opinion dynamics on complex social networks where each individual holding a binary opinion ...
Individuals accepting an idea may intentionally or unintentionally impose influences in a certain ne...
Some behaviors, ideas or technologies spread and become persistent in society, whereas others vanish...
This thesis involved designing and conducting numerical simulations on synthetic social networks to ...
In 1997, Robert Axelrod wondered in a highly influential paper "If people tend to become more alike ...
In 1997, Robert Axelrod wondered in a highly influential paper "If people tend to become more alike ...
In this paper we analyze emergent collective phenomena in the evolution of opinions in a society str...
Complexity science has proven extremely successful in describing systems from a wide range of domain...