The lecture by Leonardo Zavojanni will take place at the Complexity Science Hub Vienna in room 201.
If you are interested in participating, please email to email@example.com
“Human society relates through different sorts of interactions that are not independent of each other. The question arises whether these interdependencies can be used to predict the dynamical behaviour of such relationships. Here we look for empirical evidence that the dynamic behaviour of a given layer of a social system is related to the behaviour of other layers. Succeeding in this endeavour would make possible to improve predictions. But it would also improve the understanding of humanity as a set of interacting elements and the social dynamics between these elements.
The Massive Multiplayer Online Game (MMOG) Pardus is the source of data. In this game, players live in a virtual, futuristic universe where they interact with each other in a multitude of ways to achieve their self-posed goals. Such system represents a complete human society.
If the interaction between two people is represented as a link between two nodes, the whole set of human interaction can be described as a multiplex network. In such a system, layers represent different sorts of interactions.
One basic phenomena in a network is the formation and disappearance of links over time. A key question is whether it is possible to predict link appearances in one layer of the multiplex system using knowledge about the other layers. To answer this, the well-known problem of link prediction is generalized by extending it to the multiplex scenario represented by our social system.”