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Number of items: 6.

Ashford, James ORCID: https://orcid.org/0000-0002-2678-577X 2022. A network science framework for detecting disruptive behaviour on social media. PhD Thesis, Cardiff University.
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McMillan, Cassie, Felmlee, Diane and Ashford, James R. 2022. Reciprocity, transitivity, and skew: comparing local structure in 40 positive and negative social networks. PLoS ONE 17 (5) , e0267886. 10.1371/journal.pone.0267886
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Ashford, James, Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289, Whitaker, Roger ORCID: https://orcid.org/0000-0002-8473-1913, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057 and Felmlee, Diane 2022. Understanding the characteristics of COVID-19 misinformation communities through graphlet analysis. Online Social Networks and Media 27 , 100178. 10.1016/j.osnem.2021.100178
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Davies, Cai, Ashford, James, Espinosa-Anke, Luis ORCID: https://orcid.org/0000-0001-6830-9176, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057, Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289, Whitaker, Roger ORCID: https://orcid.org/0000-0002-8473-1913, Srivatsa, Mudhakar and Felmlee, Diane 2021. Multi-scale user migration on Reddit. Presented at: Workshop on Cyber Social Threats at the 15th International AAAI Conference on Web and Social Media (ICWSM 2021), Virtual, 07 June 2021. AAAI, 10.36190/2021.13
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Ashford, James, Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289, Whitaker, Roger ORCID: https://orcid.org/0000-0002-8473-1913, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057 and Felmlee, Diane 2020. Assessing temporal and spatial features in detecting disruptive users on Reddit. Presented at: 10th Workshop on Social Network Analysis in Applications (SNAA 2020), The Hague, Netherlands, 3 August 2020.
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Ashford, James, Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289, Whitaker, Roger ORCID: https://orcid.org/0000-0002-8473-1913, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057, Felmlee, Diana and Towsley, Don 2019. Understanding the signature of controversial Wikipedia articles through motifs in editor revision networks. Presented at: The Web Conference 2019, San Francisco, CA, USA, 13-17 May 2019.
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