Objective
This research programme aims to develop a new theoretical framework for modelling and analysing spatio-temporal
networks. The theory developed in this programme will underpin our ability to exactly specify the
structured form of network behaviour in time and space. This will advance statistical methodology and theory,
unifying results from stochastic processes with network theory to do so. New technical approaches to modelling
will be proposed, as well as new asymptotic large sample scenarios. As a consequence of the methodological
development, new analysis techniques for applications in real-world problems will be proposed that will improve
our ability to make defensible conclusions from real data sets.
Modelling network data and estimating such models is challenging, especially in a modern setting, because
most observed networks are very large. This leads to computational and inferential challenges. However,
handling sparse and large networks is not enough to be able to describe highly structured network data. Most
networks are coupled with secondary structure, and possess patterned behaviour in time and space. Linkages
between nodes are frequently added and removed over time, and implicit structure is generated from latent
spatial patterns.
The understanding of networks must be extended to encompass spatio-temporal patterns, to quantify such
structural aspects of network data. This will require combining theory and methods from different parts of
mathematics, and developing new statistical theory. This project therefore aims to a) model temporally evolving
networks, b) understand the characteristics of growing and decaying networks, c) model and estimate spatial
and temporal characteristics in networks and d) propose new models of spatial structure. These developments
will combine to form a new theoretical framework for families of networks with a rich and complex structure.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-COG - Consolidator Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2015-CoG
See all projects funded under this callHost institution
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.
1015 Lausanne
Switzerland
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.