Padraig Corcoran
Biographic Data
| ID | 3925070 |
|---|---|
| NAME | Padraig Corcoran |
| GIVEN NAMES | Padraig |
| FAMILY NAME | Corcoran |
| SIGNATURE | CORCORAN P |
| AFFILIATIONS | Cardiff University |
| ORCID | 0000-0001-9731-3385 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
A Hybrid Approach for Geo-Referencing Tweets
Recent approaches to geo-referencing X posts have focused on the use of language modelling techniques that learn geographic region-specific language and use this to infer geographic coordinates from text. These approaches rely on large amounts of labelled data to build accurate predictive models. However, obtaining significant volumes of geo-referenced data from Twitter, recently renamed X, can be difficult. Further, existing language modelling a…
Self-Supervised Representation Learning for Geographical Data—A Systematic Literature Review
Self-supervised representation learning (SSRL) concerns the problem of learning a useful data representation without the requirement for labelled or annotated data. This representation can, in turn, be used to support solutions to downstream machine learning problems. SSRL has been demonstrated to be a useful tool in the field of geographical information science (GIS). In this article, we systematically review the existing research literature in …
A navigability entropy model for street networks
In this paper, we propose novel local and global models of street network entropy that measure levels of navigability given only limited local directional information. These models are defined for individual locations and entire street networks. Both models are derived using a generalised model of entropy from the field of game theory, which considers a decision-maker attempting to perform a task in the presence of incomplete information. We argu…
Social network interventions in the space of topological relationships between communities
A social network intervention is a process of intentionally altering a social network to achieve an objective. The objective in question may concern accelerating behaviour change or improving organisational performance. In this work we propose a novel model of social network interventions which considers topological properties of relationships existing between communities. Broadly speaking, topological properties of such relationships include pro…
Social network interventions in the space of topological relationships between communities
A social network intervention is a process of intentionally altering a social network to achieve an objective. The objective in question may concern accelerating behaviour change or improving organisational performance. In this work we propose a novel model of social network interventions which considers topological properties of relationships existing between communities. Broadly speaking, topological properties of such relationships include pro…
Social network interventions in the space of topological relationships between communities
A social network intervention is a process of intentionally altering a social network to achieve an objective. The objective in question may concern accelerating behaviour change or improving organisational performance. In this work we propose a novel model of social network interventions which considers topological properties of relationships existing between communities. Broadly speaking, topological properties of such relationships include pro…
Self-Supervised Representation Learning for Geographical Data—A Systematic Literature Review
Self-supervised representation learning (SSRL) concerns the problem of learning a useful data representation without the requirement for labelled or annotated data. This representation can, in turn, be used to support solutions to downstream machine learning problems. SSRL has been demonstrated to be a useful tool in the field of geographical information science (GIS). In this article, we systematically review the existing research literature in …
A navigability entropy model for street networks
In this paper, we propose novel local and global models of street network entropy that measure levels of navigability given only limited local directional information. These models are defined for individual locations and entire street networks. Both models are derived using a generalised model of entropy from the field of game theory, which considers a decision-maker attempting to perform a task in the presence of incomplete information. We argu…
A Hybrid Approach for Geo-Referencing Tweets
Recent approaches to geo-referencing X posts have focused on the use of language modelling techniques that learn geographic region-specific language and use this to infer geographic coordinates from text. These approaches rely on large amounts of labelled data to build accurate predictive models. However, obtaining significant volumes of geo-referenced data from Twitter, recently renamed X, can be difficult. Further, existing language modelling a…
Computer Science (4 works) · Artificial Intelligence (3 works) · Mathematics (3 works) · Geographic Information Systems Studies (2 works) · Abstraction (1 work) · Cartography (1 work) · Complex Network Analysis Techniques (1 work) · Data mining (1 work) · Data science (1 work) · Disjoint sets (1 work)