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Lena Mangold

Complex Networks. Computational Social Science.

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Postdoc

Inverse Complexity Lab

Complex Systems and Network Science

IT:U Austria

I am a postdoctoral researcher working at the intersection of network science, statistical modelling, and computational social science. My research focuses on the development of Bayesian inferential methods for studying structure in complex networks.

Alongside my methodological work, I am interested in the use of quantitative and computational approaches to investigate broader questions related to inequality, representation, and the dynamics of political and social organisation.

My doctoral research focused on the diversity of block structure in networks, the relationship between metadata and such block structure, and an exploration of these phenomena in the specific context of online interaction networks.

selected publications

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    Quantifying Metadata Relevance to Network Block Structure Using Description Length
    Lena Mangold, and Camille Roth
    Communications Physics, Oct 2024
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    Generative models for two-ground-truth partitions in networks
    Lena Mangold, and Camille Roth
    Phys. Rev. E, Nov 2023