443 citations · 648 across the 8 of their papers we have counts for
8 papers
Opinion dynamics: Statistical physics and beyond
Michele Starnini, Fabian Baumann, Tobias Galla +5
Opinion dynamics, the study of how individual beliefs and collective public opinion evolve, is a fertile domain for applying statistical physics to complex social phenomena. Like p…
Network Structure shapes the Impact of Diversity in Collective Learning
Fabian Baumann, Agnieszka Czaplicka, Iyad Rahwan
It is widely believed that diversity arising from different skills enhances the performance of teams, and in particular, their ability to learn and innovate. However, diversity has…
Optimal Engagement-Diversity Tradeoffs in Social Media
Fabian Baumann, Daniel Halpern, Ariel D. Procaccia +3
Social media platforms are known to optimize user engagement with the help of algorithms. It is widely understood that this practice gives rise to echo chambers\emdash users are ma…
Periodic Coupling inhibits Second-order Consensus on Networks
Fabian Baumann, Igor M. Sokolov, Melvyn Tyloo
Consensus algorithms on networks have received increasing attention in recent years for various applications ranging from animal flocking to multi-vehicle co-ordination. Building o…
Emergence of polarized ideological opinions in multidimensional topic spaces
Fabian Baumann, Philipp Lorenz-Spreen, Igor M. Sokolov +1
Opinion polarization is on the rise, causing concerns for the openness of public debates. Additionally, extreme opinions on different topics often show significant correlations. Th…
A Laplacian Approach to Stubborn Agents and their Role in Opinion Formation on Influence Networks
Fabian Baumann, Igor. M Sokolov, Melvyn Tyloo
Within the framework of a simple model for social influence, the Taylor model, we analytically investigate the role of stubborn agents in the overall opinion dynamics of networked…
Modeling echo chambers and polarization dynamics in social networks
Fabian Baumann, Philipp Lorenz-Spreen, Igor M. Sokolov +1
Echo chambers and opinion polarization recently quantified in several sociopolitical contexts and across different social media, raise concerns on their potential impact on the spr…
Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation
Moritz Augustin, Josef Ladenbauer, Fabian Baumann +1
The spiking activity of single neurons can be well described by a nonlinear integrate-and-fire model that includes somatic adaptation. When exposed to fluctuating inputs sparsely c…