Conor Hayes
Biographic Data
| ID | 3924924 |
|---|---|
| NAME | Conor Hayes |
| GIVEN NAMES | Conor |
| FAMILY NAME | Hayes |
| SIGNATURE | HAYES C |
| AFFILIATIONS | Ollscoil na Gaillimhe – University of Galway |
| ORCID | 0000-0002-9152-4138 |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 1 |
Characterising and evaluating dynamic online communities from live microblogging user interactions
Microblogging social media focuses on fast open real-time communication using short messages between users and their followers. These platforms generate large amounts of content, and community finding techniques are a suitable alternative for organising it. However, there is no clear agreement in the literature for a definition of user community for the microblogging use case, leading to unreliable ground-truth data and evaluation. In this work, …
Social impact assessment of scientist from mainstream news and weblogs
Generalised blockmodelling of social and relational networks using evolutionary computing
Characterising and evaluating dynamic online communities from live microblogging user interactions
Microblogging social media focuses on fast open real-time communication using short messages between users and their followers. These platforms generate large amounts of content, and community finding techniques are a suitable alternative for organising it. However, there is no clear agreement in the literature for a definition of user community for the microblogging use case, leading to unreliable ground-truth data and evaluation. In this work, …
Generalised blockmodelling of social and relational networks using evolutionary computing
Social impact assessment of scientist from mainstream news and weblogs
Characterising and evaluating dynamic online communities from live microblogging user interactions
Microblogging social media focuses on fast open real-time communication using short messages between users and their followers. These platforms generate large amounts of content, and community finding techniques are a suitable alternative for organising it. However, there is no clear agreement in the literature for a definition of user community for the microblogging use case, leading to unreliable ground-truth data and evaluation. In this work, …
Complex Network Analysis Techniques (3 works) · Computer Science (3 works) · Social media (3 works) · Data mining (2 works) · Data science (2 works) · Graph (2 works) · Machine learning (2 works) · Opinion Dynamics and Social Influence (2 works) · Theoretical Computer Science (2 works) · World Wide Web (2 works)