The dynamics of social transmission in structured contexts

A poster with a plethora of drawn heads talking to each other. Copyright: Normal Rockwell, The Gossips, WikiArt

In this project, we aim to explore the role that heterogeneity plays within and between groups with regard to social transmission dynamics in humans and social insects. In order to understand the general mathematical principles underlying the relationship between network structure and transmission processes, we must consider diverse systems. While stark differences will exist, we expect to find important underlying principles concerning the impact of individual differences and network structures on the dynamics of social transmission.


Humans

Humans are social animals. Whether we realize it or not, we pass on information, behaviours, and emotions to others. This so-called “social transmission” is fundamental to how we function. It can be an engine of devastation (such as increasing hostility leading to riots) or progress (such as solidarity and the spread of good behaviours) for mankind. The result depends on the four elements of social transmission: what is being transmitted; how it is being transmitted; the psychology of individuals; and how they are networked.

The project The dynamics of social transmission in structured contexts seeks to understand these four elements of social transmission and their complex interplay to gain insight into when collectives succeed or fail. More far-reaching program than individual project, it draws together diverse research partners and projects for an integrative understanding of how information and behaviour spread in collectives.

For instance, the program developed an online paradigm to manipulate the information transmission process in small networks that can be used to experimentally tease apart all four elements of social transmission. Via rewarding different options in a collective game, the paradigm will, inter alia, be used to test how heterogeneity of opinions in a network may help to find a consensus in contrast to networks, in which opinions are polarized in specific subgroups.