About Me
Academic Bio
I’m Dr. James Ashford, and I’m a Research Associate at Cardiff University with an interest in understanding how people use social media though techniques such as social network analysis. I have a PhD in Computer Science from Cardiff University, in which I produced a thesis titled “A network science framework for detecting disruptive behaviour on social media”
I enjoy scraping, analysing and visualising data and social networks. In my free time, I like to explore the outdoors, mountain climbing, cycling, running and attending church. I think of myself as an all-round nerd.
Research Interests
My research interests include, but not limited to, the following:
- Social Network Analysis
- Social Media Usage
- Cyber Security
- Data Science
- Data Visualisation
- Mis/Disinformation
- Machine Learning
- Python Programming
- Data Structures and Algorithms
Personal Bio
See my other website for more.
Personal Interests
I have a broad range of interests / hobbies. I also enjoy learning new skills. A few of interests includes:
- Reading
- The Bible, Christian / Theological
- Productivity
- A bit of fiction
- Writing
- Spending time outdoors
- Cycling and running
- Cooking
- Card tricks
- Learning new skills
Publications
2024
- Ashford, James. “Detecting Anti-vaccine Content on Twitter using Multiple Message-Based Network Representations”, arXiv preprint
2022
- C, McMillan, et al. “Reciprocity, transitivity, and skew: Comparing local structure in 40 positive and negative social networks”, Plos one 17 (5), e0267886
- Ashford, James, et al. “Understanding the characteristics of COVID-19 misinformation communities through graphlet analysis”, Online Social Networks and Media 27, 100178
2021
- C, Davies, et al. “Multi-scale user migration on Reddit”, AAAI
2020
- Ashford, James, et al. “Assessing temporal and spatial features in detecting disruptive users on Reddit” 2020 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation
2019
- Lee, Eunjin, et al. “An Exploratory Analysis of Suspicious Reddit User Accounts based on Sentiment and Interactions.”
- Ashford, James, et al. “Understanding the Signature of Controversial Wikipedia Articles through Motifs in Editor Revision Networks.” Companion Proceedings of The 2019 World Wide Web Conference. ACM, 2019.