Terrorism Analysis Through Export Networks. - Iain Cruickshank (IKE, 2009)

Detecting Latent Terrorist Communities Testing a Gower's Similarity-Based Clustering Algorithm for Multi-partite Networks. - Gian Maria Campedelli; Iain Cruickshank; Kathleen M. Carley (COMPLEX NETWORKS (1), 2018)

Complex Networks for Terrorist Target Prediction. - Gian Maria Campedelli; Iain Cruickshank; Kathleen M. Carley (SBP-BRiMS, 2018)

A complex networks approach to find latent clusters of terrorist groups. - Gian Maria Campedelli; Iain Cruickshank; Kathleen M. Carley (Appl. Netw. Sci., 2019)

Clustering Analysis of Website Usage on Twitter During the COVID-19 Pandemic. - Iain J. Cruickshank; Kathleen M. Carley (SIMBig, 2020)

Analysis of Malware Communities Using Multi-Modal Features. - Iain Cruickshank; Kathleen M. Carley (IEEE Access, 2020)

Characterizing communities of hashtag usage on twitter during the 2020 COVID-19 pandemic by multi-view clustering. - Iain J. Cruickshank; Kathleen M. Carley (Appl. Netw. Sci., 2020)

Detecting malware communities using socio-cultural cognitive mapping. - Iain Cruickshank; Anthony Johnson; Timothy Davison; Matthew Elder; Kathleen M. Carley (Comput. Math. Organ. Theory, 2020)

Multi-view Clustering of Social-based Data. - Iain Cruickshank (2020)

Influencing the Influencers: Evaluating Person-to-Person Influence on Social Networks Using Granger Causality. - Richard Kuzma; Iain J. Cruickshank; Kathleen M. Carley (COMPLEX NETWORKS, 2021)

Coordinating Narratives and the Capitol Riots on Parler. - Lynnette Hui Xian Ng; Iain Cruickshank; Kathleen M. Carley (CoRR, 2021)

Multi-modal Networks Reveal Patterns of Operational Similarity of Terrorist Organizations. - Gian Maria Campedelli; Iain J. Cruickshank; Kathleen M. Carley (CoRR, 2021)

Mapping state-sponsored information operations with multi-view modularity clustering. - Joshua Uyheng; Iain J. Cruickshank; Kathleen M. Carley (EPJ Data Sci., 2022)

Cross-platform information spread during the January 6th capitol riots. - Lynnette Hui Xian Ng; Iain J. Cruickshank; Kathleen M. Carley (Soc. Netw. Anal. Min., 2022)

MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities. - Katherine R. Maffey; Kyle Dotterrer; Jennifer Niemann; Iain Cruickshank; Grace A. Lewis; Christian Kästner (ICSE (NIER), 2023)

Measuring Classification Decision Certainty and Doubt. - Alexander M. Berenbeim; Iain J. Cruickshank; Susmit Jha; Robert H. Thomson 001; Nathaniel D. Bastian (CoRR, 2023)

Analysis of Media Writing Style Bias through Text-Embedding Networks. - Iain J. Cruickshank; Jessica Zhu; Nathaniel D. Bastian (CoRR, 2023)

Use of Large Language Models for Stance Classification. - Iain J. Cruickshank; Lynnette Hui Xian Ng (CoRR, 2023)

Coordinating Narratives Framework for cross-platform analysis in the 2021 US Capitol riots. - Lynnette Hui Xian Ng; Iain J. Cruickshank; Kathleen M. Carley (Comput. Math. Organ. Theory, 2023)

Recruitment Promotion via Twitter: A Network-centric Approach of Analyzing Community Engagement Using Social Identity. - Lynnette Hui Xian Ng; Iain J. Cruickshank (Digit. Gov. Res. Pract., 2023)

DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Model. - Iain J. Cruickshank; Lynnette Hui Xian Ng; Amir Soofi (IEEE Big Data, 2024)

LLM Chain Ensembles for Scalable and Accurate Data Annotation. - David Farr; Nico Manzonelli; Iain Cruickshank; Kate Starbird; Jevin West (IEEE Big Data, 2024)

A Cross-Platform Topic Analysis of the Nazi Narrative on Twitter and Telegram during the 2022 Russian Invasion of Ukraine. - Ian Kloo; Iain J. Cruickshank; Kathleen M. Carley (ICWSM, 2024)

Seeing the Whole Elephant - A Comprehensive Framework for Data Education. - Iain J. Cruickshank; Nathaniel D. Bastian; Jean R. S. Blair; Christa M. Chewar; Edward Sobiesk (SIGCSE (1), 2024)

Developing a Natural Language Understanding Model to Characterize Cable News Bias. - Seth P. Benson; Iain J. Cruickshank (IEEE Access, 2024)

DIVERSE: Deciphering Internet Views on the U.S. Military Through Video Comment Stance Analysis, A Novel Benchmark Dataset for Stance Classification. - Iain J. Cruickshank; Lynnette Hui Xian Ng (CoRR, 2024)

Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification. - Lynnette Hui Xian Ng; Iain Cruickshank; Roy Ka-Wei Lee (CoRR, 2024)

RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Classifiers for Computational Social Science. - David Farr; Nico Manzonelli; Iain Cruickshank; Jevin West (CoRR, 2024)

LLM Confidence Evaluation Measures in Zero-Shot CSS Classification. - David Farr; Iain Cruickshank; Nico Manzonelli; Nicholas Clark; Kate Starbird; Jevin West (CoRR, 2024)

RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers. - David Farr; Nico Manzonelli; Iain Cruickshank; Jevin West (COLING (Industry), 2025)

Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification. - Lynnette Hui Xian Ng; Iain J. Cruickshank; Roy Lee (ICWSM, 2025)

Zero-Shot Detection of Out-of-Context Objects Using Foundation Models. - Anirban Roy; Adam D. Cobb; Ramneet Kaur; Sumit Jha 001; Nathaniel D. Bastian; Alexander M. Berenbeim; Robert H. Thomson 001; Iain Cruickshank; Alvaro Velasquez; Susmit Jha (WACV, 2025)

Building Bridges between Users and Content across Multiple Platforms during Natural Disasters. - Lynnette Hui Xian Ng; Iain J. Cruickshank; David Farr (WebSci, 2025)

DocNet: Semantic Structure in Inductive Bias Detection Models. - Jessica Zhu; Michel Cukier; Iain Cruickshank (WebSci, 2025)

Ensemble-Based Uncertainty Quantification for Reliable Large Language Model Classification in Social Data Applications. - David Farr; Lynnette Hui Xian Ng; Iain J. Cruickshank; Nico Manzonelli; Nicholas Clark; Kate Starbird; Nathaniel D. Bastian; Jevin West (IEEE Access, 2025)

Expert-in-the-Loop Systems with Cross-Domain and In-Domain Few-Shot Learning for Software Vulnerability Detection. - David Farr; Kevin Talty; Alexandra Farr; John Stockdale; Iain Cruickshank; Jevin West (CoRR, 2025)