| Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations T Ginossar, IJ Cruickshank, E Zheleva, J Sulskis, T Berger-Wolf Human vaccines & immunotherapeutics 18 (1), 1-13, 2022 | 64 | 2022 |
| Characterizing communities of hashtag usage on twitter during the 2020 COVID-19 pandemic by multi-view clustering IJ Cruickshank, KM Carley Applied Network Science 5 (1), 66, 2020 | 51 | 2020 |
| Cross-platform information spread during the January 6th capitol riots LHX Ng, IJ Cruickshank, KM Carley Social Network Analysis and Mining 12 (1), 133, 2022 | 36 | 2022 |
| A complex networks approach to find latent clusters of terrorist groups GM Campedelli, I Cruickshank, K M Carley Applied Network Science 4 (1), 1-22, 2019 | 33 | 2019 |
| Content and dynamics of websites shared over vaccine-related tweets in COVID-19 conversations: Computational analysis I Cruickshank, T Ginossar, J Sulskis, E Zheleva, T Berger-Wolf Journal of Medical Internet Research 23 (12), e29127, 2021 | 18 | 2021 |
| Coordinating narratives and the capitol riots on parler LHX Ng, I Cruickshank, KM Carley arXiv preprint arXiv:2109.00945, 2021 | 16 | 2021 |
| Use of large language models for stance classification IJ Cruickshank, LHX Ng arXiv preprint arXiv:2309.13734, 2023 | 12 | 2023 |
| Coordinating Narratives Framework for cross-platform analysis in the 2021 US Capitol riots LHX Ng, IJ Cruickshank, KM Carley Computational and Mathematical Organization Theory 29 (3), 470-486, 2023 | 12 | 2023 |
| Multi-view Clustering of Social-based Data. I Cruickshank Carnegie Mellon University, USA, 2020 | 12 | 2020 |
| Analysis of malware communities using multi-modal features IJ Cruickshank, KM Carley Ieee Access 8, 77435-77448, 2020 | 10 | 2020 |
| Influencing the influencers: Evaluating person-to-person influence on social networks using granger causality R Kuzma, IJ Cruickshank, KM Carley Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth …, 2022 | 9 | 2022 |
| Clustering analysis of website usage on twitter during the covid-19 pandemic IJ Cruickshank, KM Carley Annual International Conference on Information Management and Big Data, 384-399, 2020 | 8 | 2020 |
| Mapping state-sponsored information operations with multi-view modularity clustering J Uyheng, IJ Cruickshank, KM Carley EPJ Data Science 11 (1), 25, 2022 | 6 | 2022 |
| Detecting malware communities using socio-cultural cognitive mapping I Cruickshank, A Johnson, T Davison, M Elder, KM Carley Computational and Mathematical Organization Theory 26, 307-319, 2020 | 6 | 2020 |
| Detecting latent terrorist communities testing a gower’s similarity-based clustering algorithm for multi-partite networks GM Campedelli, I Cruickshank, KM Carley Complex Networks and Their Applications VII: Volume 1 Proceedings The 7th …, 2019 | 6 | 2019 |
| Complex networks for terrorist target prediction GM Campedelli, I Cruickshank, KM Carley International Conference on Social Computing, Behavioral-Cultural Modeling …, 2018 | 6 | 2018 |
| Multi-modal networks reveal patterns of operational similarity of terrorist organizations GM Campedelli, I Cruickshank, KM Carley Terrorism and political violence 35 (5), 1065-1084, 2023 | 5 | 2023 |
| Characterizing communities of hashtag usage on twitter during the 2020 COVID-19 pandemic by multi-view clustering. Appl Netw Sci 5, 66 (2020) IJ Cruickshank, KM Carley | 5 | |
| Recruitment promotion via Twitter: a network-centric approach of analyzing community engagement using social identity LHX Ng, IJ Cruickshank Digital Government: Research and Practice 4 (4), 1-17, 2023 | 4 | 2023 |
| Mlteing models: Negotiating, evaluating, and documenting model and system qualities KR Maffey, K Dotterrer, J Niemann, I Cruickshank, GA Lewis, C Kästner 2023 IEEE/ACM 45th International Conference on Software Engineering: New …, 2023 | 4 | 2023 |
Kathleen M. CarleyProfessor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
