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Peer victimization is usually addressed with hazardous short and long term effects. Social surroundings and cyber technology act as a fertile ground for perpetrators to target victims. Fragile and lonely people are often targeted by aggressors or bullies who may make them feel like a ‘loser’. This results in their withdrawal from society and can result in suicidal or revenge thoughts. In this paper, we present a complex multi-layered adaptive mental network model based on cognitive and psychological literature. The network model is simulated for three type of victims: a) passive, b) assertive and c) ambivert using case studies. It can be used as a basis in classification and to provide support of the victims.

Parental influence plays an important role in the mental development of a child. In the early years of childhood, a parent acts as a role model to a child, so most of the children try to mimic their parents. In our work, we address a complex network model of a child who is influenced by a narcissistic parent from his/her childhood to his/her adolescence. This concept of mimicking in childhood is represented by social contagion. Later on, he/she can learn to develop his/her own personality based on experience and learning. This model can be used to predict the influence of a parent over the personality of a child.

People take the opportunity from social-networking sites like Facebook, to express themselves in various communities. Various studies address that it has influence over self-esteem of its users. In this paper, we analyse how the self-esteem of a person is affected in the computational world. To accomplish this, we built a computational model of esteem. A questionnaire-based survey was conducted to collect data for model verification. Different simulation experiments were conducted to compare and evaluate the model concerning findings from the literature and data. This model can be used as a useful input to provide support to people who are influenced by negative feedback.

Social media like Twitter or Instagram play a role of fertile ground for self-exhibition, which is used by various narcissists to share their frequent updates reflecting their narcissism. Their belief of saving and assisting others, make them vulnerable to the feedback of others, so their rage is as dangerous as their messiah complex. In this paper, we aim to analyse the behaviour of a narcissist when he is admired or receives negative critics. We designed a complex adaptive mental network model of the process of narcissism based on the theories of neuroscience and psychology including a Hebbian learning principal. The model was validated by analyzing Instagram data.