How networks shape diversity for better or worse
Visiting speaker
Andrea Musso
PhD Student in Computational Social Science, ETH Zurich
Past Talk
In-person talk
Friday
Apr 5, 2024
Watch video
1:00 pm
Virtual
177 Huntington Ave.
11th floor
Online
Register here
Socio-diversity, or the variety of human behaviors, has profound implications for social systems. While it fuels innovation, productivity, and collective intelligence, it also complicates communication and undermines trust. This talk discusses how some fundamental characteristics of social networks can support or hinder socio-diversity. Employing models of cultural evolution, mathematical analysis, and numerical simulations, I argue that pronounced inequalities in the distribution of connections tend to obstruct socio-diversity. In contrast, the prevalence of close-knit communities, a scarcity of long-range connections, and a significant tie density tend to promote it. (The paper is found here: https://arxiv.org/abs/2201.09254.)
About the speaker
About the speaker
Andrea is a 3rd-year PhD student in Computational Social Science at ETH Zurich and is mentored by Prof. Dirk Helbing. Previously, he obtained a master's degree in Mathematics from the same institution. He is interested in applying network science to analyze social big data.
Andrea is a 3rd-year PhD student in Computational Social Science at ETH Zurich and is mentored by Prof. Dirk Helbing. Previously, he obtained a master's degree in Mathematics from the same institution. He is interested in applying network science to analyze social big data.