Leonie Neuhäuser

Leonie Neuhäuser

PhD Candidate in Network Science

RWTH Aachen University

About

I am a doctoral researcher in the Computational Network Sciences Group at RWTH Aachen University. My research interests include Network Science, Complex Systems and Computational Social Sciences. In particular, I focus on the statistical and dynamical analysis of Social Networks with topics ranging from opinion dynamics on hypergraphs to the effects of systematic errors and bias on rankings in social networks.

I am the Social Secretary of the Women in Network Science Society (WiNS) which aims to foster opportunities for the education, employment, and career advancement of under-represented genders in network science. Reach out to me if you want to participate in events, want to know more about the society or have any other suggestions or requests!

Interests

  • Network Science
  • Complex Systems
  • Computational Social Sciences

Education

  • MSc in Mathematical Modelling and Scientific Computing, 2019

    University of Oxford

  • BSc in Mathematics, 2017

    University of Bonn

  • BSc in Psychology, 2021

    University of Bonn

Recent News

All news»

[15/12/21] Our paper on consensus dynamics on temporal hypergraphs has now been published in Physical Review E!

[23/09/21] Now published in Applied Network Science: Our paper on simulating systematic bias in attributed networks. Check it out!

[23/09/21] I gave a talk at NetGCoop 2021 (originally NetGCoop 2020) on our conference paper on Opinion dynamics with Multi-Body Interactions

[13/09/21] New preprint out: It was a pleasure to work on consensus dynamics on temporal hypergraphs with Renaud Lambiotte and Michael Schaub. Check it out!

[19/08/21] My advisor Michael Schaub and I have been interviewed for an article in Quanta Magazine on higher-order networks.

Projects

Higher-order networks

The basic interaction unit of many dynamical systems involves more than two nodes. In such situations where networks are not an appropriate modelling framework, it has recently become increasingly popular to turn to higher-order models. In this collection of papers, we derive and analyse models for consensus dynamics on hypergraphs, where nodes interact in groups rather than in pairs.
Higher-order networks

Modelling bias and systematic errors in networks

Most network analyses implicitly assume that the considered data is error-free and reliable. Especially if the network consists of multiple groups, this assumption conflicts with the range of systematic reporting biases, measurement errors and other inaccuracies that are well documented in our community. We model how such systematic uncertainty on edges of an attributed network can impact network analysis.
Modelling bias and systematic errors in networks

CoRisk Index

While the coronavirus spreads around the world, governments are attempting to reduce contagion rates at the expense of negative economic effects. To achieve higher effectiveness with cyclical and fiscal policy measures, it is key to identify the industries that are suffering the most from the unfolding economic crisis. We introduce the CoRisk-Index. It is the first economic indicator of industry-specific risk assessments related to Covid-19.
CoRisk Index

Recent & Upcoming Talks

UCL Financial Computing Seminar

This talk was given at the weekly Seminar of the UCL Financial Computing Group. The talk is about consensus dynamics on static and …
Jan 26, 2022 2:00 PM online
Project Video
UCL Financial Computing Seminar

10th International Conference on Network Games, Control and Optimization, NETGCOOP 2021

This talk was given at the 10th International Conference on Network Games, Control and Optimization, NETGCOOP 2021 which should …
Sep 23, 2021 10:00 AM online
Project

Networks 2021

This talk was given at Session 50 (Incomplete and Missing Data) at Networks 2021. We present a framework for simulating systematically …
Jul 6, 2021 10:00 AM online
Project Video

SIAM Conference on Applications of Dynamical Systems (DS21)

This talk was given at the at the SIAM Conference on Applications of Dynamical Systems (DS21), specifically at the Minisymposium on …
May 24, 2021 10:00 AM online
Project Video

Oxford Networks Seminar

This talk was given at the Oxford Networks Seminar, a weekly seminar series on networks, complex systems, and related topics held in …
Nov 24, 2020 2:00 PM online
Project Video
Oxford Networks Seminar
See all talks

Recent Publications

Consensus Dynamics and Opinion Formation on Hypergraphs

In this chapter, we derive and analyse models for consensus dynamics on hypergraphs.
Leonie Neuhäuser, Renaud Lambiotte, Michael T. Schaub
PDF Project
Consensus Dynamics and Opinion Formation on Hypergraphs

Modelling Non-Linear Consensus Dynamics on Hypergraphs

In this paper, we explore the non-linear dynamics of consensus on hypergraphs, extending the previously introduced three-body consensus model (3CM) to hyperedges of any cardinality.
Rohit Sahasrabuddhe, Leonie Neuhäuser, Renaud Lambiotte
PDF Project
Modelling Non-Linear Consensus Dynamics on Hypergraphs

Opinion Dynamics with Multi-Body Interactions

In this conference paper, we introduce and analyse a three-body consensus model (3CM) for non-linear consensus dynamics on hypergraphs.
Leonie Neuhäuser, Michael T. Schaub, Andrew Mellor, Renaud Lambiotte
PDF Project
Opinion Dynamics with Multi-Body Interactions

Multibody interactions and nonlinear consensus dynamics on networked systems

In this work, we derive and analyze models for consensus dynamics on hypergraphs, where nodes interact in groups rather than in pairs. Our work reveals that multibody dynamical effects that go beyond rescaled pairwise interactions can appear only if the interaction function is nonlinear.
Leonie Neuhäuser, Andrew Mellor, Renaud Lambiotte
PDF Project
Multibody interactions and nonlinear consensus dynamics on networked systems

The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time

We introduce the CoRisk-Index. It is the first economic indicator of industry-specific risk assessments related to Covid-19.
Fabian Stephany, Niklas Stoehr, Philipp Darius, Leonie Neuhäuser, Ole Teutloff, Fabian Braesemann
PDF Code
The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time

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