SIMULATING THE EFFECT OF SOCIAL INFLUENCE ON COLLECTIVE DECISION-MAKING: THE CASE OF EDUCATOR REPORTING OF CHILD ABUSE Roy Woodrow Wilson, PhD University of Pittsburgh, 2005 The dissertation is directed toward a simulation study of social influence in small, task-oriented, groups composed of education professionals of differing status who hold differing beliefs about what constitutes the report...

Finding suitable analysis techniques for networks generated from social processes is a difficult task when the population changes over time. Traditional social network analysis measures may not work in such circumstances. It is argued that agent-based social networks should not be constrained by a priori assumptions about the evolved network and/or the analysis techniques. In most agent-based s...

Finding suitable analysis techniques for networks generated from social processes is a difficult task when the population changes over time. Traditional social network analysis measures may not work in such circumstances. It is argued that agent-based social networks should not be constrained by a priori assumptions about the evolved network and/or the analysis techniques. In most agent-based s...

We present a successful design approach for social robotics based on a computational cognitive architecture and mental simulation. We discuss an approach to a Theory of Mind known as a “like-me” simulation in which the agent uses its own knowledge and capabilities as a model of another agent to predict that agent’s actions. We present three examples of a “like-me” mental simulation in a social ...

Applications of simulation modelling in social science domains are varied and increasingly widespread. The effective deployment of simulation models depends on access to diverse datasets, the use of analysis capabilities, the ability to visualize model outcomes and to capture, share and re-use simulations as evidence in research and policy-making. We describe three applications of e-social scie...

This paper considers the problem of trade-off between including theoretically required elements against excluding irrelevant levels of complexity, one difficult dilemma that all ABSS practitioners must cope with. Social scientists finds hard to code even the most simple artificial societies, while they are expected to consider all kind of social complexity. It is argued that there exists hetero...

Viral marketing, marketing techniques that use pre-existing social networks, has experienced a significant encouragement in the last years. In this scope, Twitter is the most studied social network in viral marketing and the rumor spread is a widely researched problem. This paper contributes with a (1) novel agent-based social simulation model for rumors spread in Twitter. This model relies on ...

Power in Afghanistan can be explained by the notion of the qawm. Qawms denote opportunistic solidarity networks in Afghanistan. We computationally grow qawms by means of agent-based social simulation informed by real actor behaviour. Emerging from our simulation are social networks which bear important structural and functional resemblance with their target system when subsequently compared wit...

Accurate simulation models of social networks enable over time prediction, statistical testing of hypothesis about social groups, and enables researchers to develop more informed hypotheses for human experimentation, by evaluating them and reasoning about them using simulation. Several methods for simulating social network behavior are compared. The multi-agent simulation Construct is shown to ...

This paper considers the problem of trade-off between including theoretically required elements against excluding irrelevant levels of complexity, one difficult dilemma that all ABSS practitioners must cope with. Social scientists finds hard to code even the most simple artificial societies, while they are expected to consider all kind of social complexity. It is argued that there exists hetero...