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Robustness in sparse random-like graphs

Project description

A detailed study on sparse random-like graphs

Sparse, highly connected, random-like graphs are extensively used in discrete mathematics, theoretical computer science and network science. The EU-funded RobSparseRand project will focus on sparse Ramsey graphs, addressing some limitations in an archetypal robust graph called Erdős-Rényi. The project has four key objectives. It aims to solve important open problems in Ramsey theory and open up new frontiers in sparse Ramsey theory by using random Cayley graphs. In addition, it will advance state-of-the-art techniques used in random graph theory and illuminate potentially useful classes of expander graphs with both structure and randomness.

Objective

Sparse, highly connected, random-like graphs are currently a focal point in discrete mathematics, theoretical computer science and network science, motivated by the insight that networks of this type are ubiquitous in computing, biology, economics, physics, social science, etc., and by the theoretical challenges of this setting. Random graph models used in statistical modelling of real-world networks include the Molloy-Reed model for scale-free graphs and the Watts-Strogatz model (designed to simultaneously exhibit the small-world phenomenon and formation of hubs, cited 43000 times). Barabási devotes a chapter of his classic network science book to robustness of random graphs, specifically addressing robustness against adversarial attack.

Extremal combinatorics includes the fundamental study of sparse networks. Our line of enquiry is sparse Ramsey theory, concerning sparse graphs that are robust in a strong sense, with respect to adversarial edge-partitioning. This notion is also of interest in theoretical computer science. An archetypal robust graph in Ramsey theory is the Erdős-Rényi random graph. Our project addresses some limitations of this paradigm.

This projects aims to (1) solve important open problems in Ramsey theory, shedding light on a surprising synergy between structural and Ramsey-type properties of graphs, (2) open up new frontiers in sparse Ramsey theory by using a random Cayley graph (RCG) as a much-needed alternative sparse robust graphs to the Erdős-Rényi model, (3) advance the essential tools in random graph theory (sparse regularity framework, concentration bounds, embedding and colouring techniques) by taking them into an entirely new algebraic setting, (4) illuminate potentially useful classes of expander graphs with both structure and randomness.

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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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(opens in new window) H2020-WF-2018-2020

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Coordinator

FACULTY OF SCIENCE UNIVERSITY OF ZAGREB
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 147 463,68
Address
HORVATOVAC 102/A
10000 ZAGREB
Croatia

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Region
Hrvatska Grad Zagreb Grad Zagreb
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 147 463,68
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