Young-Ho Eom

Dr

  • United Kingdom

Accepting PhD Students

PhD projects

Mathematical modelling and analysis of network cascades Many complex systems ranging from brain and ecosystems to social organisations and financial systems can be represented as networks of interacting entities (e.g., neurons, species, people, and banks). Network science is the study of connectivity among different entities and its impact on (and coupling with) dynamics and function [1]. Cascades in networks are self-amplifying processes by which a relatively small event may precipitate a change across a substantial part of a system [2]. For examples, the failure of few banks can trigger the failure of the global financial system as the banks are interdependent through the network of obligations. Other examples of network cascades can include (i) information diffusion in social networks (some news or videos become ‘viral’ and millions of people share them while most of them have only limited influence) and (ii) blackouts in power grids (a local failure of the transmission lines can cause the failure of the grid because the redistributed load from the failed lines make the other lines overloaded), to name a few. Therefore, how cascades arise in networked systems, what is the role of network structure in cascades, and how to predict and control cascades are important questions in network science. To address the above questions, this project will develop mathematical models for network cascades based on data analysis of real-world systems, analyse the models, and apply the outcomes to real-world problems (e.g., developing design principles for stable financial networks and reducing the impact of sudden shocks in infrastructures). In particular we will focus on the role of modular network structure in network cascades. Both mathematical and computational skills are required. Furthermore domain knowledge on specific systems (e.g., finance, physics, or engineering) will be necessary. Hence the student needs to be willing to learn these topics and open to interdisciplinary research. If you are interested in the project, please feel free to contact. Please note that early contact is better for your PhD studentship application. References and Suggested reading [1] M. A. Porter and S. D. Howison. The Role of Network Analysis in Industrial and Applied Mathematics. arXiv:1703.06843. (https://arxiv.org/pdf/1703.06843) [2] A. E. Motter and Y. Yang. The unfolding and control of network cascades. arXiv:1701.00578. (https://arxiv.org/pdf/1701.00578)

20112019
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Personal profile

Personal Statement

I am a Chancellor's Fellow (equivalent to tenure-track assistant professor in the US system) at the Department of Mathematics and Statistics.

My research interests include network science and complex system science and their application to financial markets, ecosystems, social phenomena, science of science, and cities.

For example, I ask the following questions:

(1) How do networks evolve with time? Are there universal patterns in network evolution?

(2) How can we quantify the trade-off between resilience and efficiency of complex systems?

(3) How can we reinforce given networked systems (e.g., power-grid or financial systems) to prevent their collapse?

(4) What networks do support better their collective behaviours (e.g., cooperation or synchronization)?

You can find all my publication on my Google Scholar page

My personal webpage: https://sites.google.com/site/younghoeom/

If you are interested in a PhD studentship in network science, we can apply for it. In this case, please do not hesitate to contact me (Particularly the students from the UK and the EU).

Fingerprint Dive into the research topics where Young-Ho Eom is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Wikipedia Mathematics
Citations Mathematics
PageRank Mathematics
Paradox Mathematics
paradoxes Physics & Astronomy
Opinion Formation Mathematics
Ranking Mathematics
Complex Networks Mathematics

Research Output 2011 2019

1 Citation (Scopus)
4 Downloads (Pure)

Impact of perception models on friendship paradox and opinion formation

Lee, E., Lee, S., Eom, Y-H., Holme, P. & Jo, H-H., 10 May 2019, In : Physical Review E. 99, 5, 8 p., 052302.

Research output: Contribution to journalArticle

Open Access
File
Opinion Formation
paradoxes
Paradox
human behavior
Model
1 Citation (Scopus)
8 Downloads (Pure)

Resilience of networks to environmental stress: from regular to random networks

Eom, Y-H., 20 Apr 2018, In : Physical Review E. 97, 12 p., 042313.

Research output: Contribution to journalArticle

Open Access
File
resilience
Random Networks
Resilience
Topology
Hysteresis

Activities 2016 2019

  • 4 Journal peer review
  • 4 Invited talk
  • 3 Oral presentation
  • 2 Membership of peer review panel or committee

Oral presentation in Conference on Complex Systems 2019 (Singapore)

Young-Ho Eom (Speaker)
4 Oct 2019

Activity: Talk or presentation typesOral presentation

Invited talk in a satellite meeting of the Conference on Complex Systems 2019 (Singapore)

Young-Ho Eom (Speaker)
3 Oct 2019

Activity: Talk or presentation typesInvited talk