An Effective Anytime Anywhere Parallel Approach for Centrality Measurements in Social Network Analysis. - Eunice E. Santos; Long Pan; Dustin Lockhart Arendt; Morgan Pittkin (SMC, 2006)

Effective GPU Acceleration of Large Scale, Asynchronous Simulations on Graphs. - Dustin Arendt; Yang Cao 001 (Adv. Complex Syst., 2012)

Evolutionary motifs for the Automated Discovery of Self-Organizing dimer Automata. - Dustin Arendt; Yang Cao 001 (Adv. Complex Syst., 2012)

In Search of Self-Organization. - Dustin Lockhart Arendt (2012)

More bang for your research buck: toward recommender systems for visual analytics. - Leslie M. Blaha; Dustin Arendt; Fairul Mohd-Zaid (BELIV, 2014)

SVEN: Informative Visual Representation of Complex Dynamic Structure. - Dustin Lockhart Arendt; Leslie M. Blaha (CoRR, 2014)

SVEN: An Alternative Storyline Framework for Dynamic Graph Visualization. - Dustin Lockhart Arendt (GD, 2015)

Ocelot: user-centered design of a decision support visualization for network quarantine. - Dustin Lockhart Arendt; Russ Burtner; Daniel M. Best; Nathan D. Bos; John R. Gersh; Christine D. Piatko; Celeste Lyn Paul (VizSEC, 2015)

Opinions, influence, and zealotry: a computational study on stubbornness. - Dustin Arendt; Leslie M. Blaha (Comput. Math. Organ. Theory, 2015)

Storyline visualizations of eye tracking of movie viewing. - J. Timothy Balint; Dustin Arendt; Leslie M. Blaha (ETVIS, 2016)

Contrasting Public Opinion Dynamics and Emotional Response During Crisis. - Svitlana Volkova; Ilia Chetviorkin; Dustin Arendt; Benjamin Van Durme (SocInfo (1), 2016)

CyberPetri at CDX 2016: Real-time network situation awareness. - Dustin Arendt; Daniel M. Best; Russ Burtner; Celeste Lyn Paul (VizSEC, 2016)

ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social Media. - Dustin Arendt; Svitlana Volkova (ACL (System Demonstrations), 2017)

CHISSL: A Human-Machine Collaboration Space for Unsupervised Learning. - Dustin Arendt; Caner Komurlu; Leslie M. Blaha (HCI (14), 2017)

Measuring, Predicting and Visualizing Short-Term Change in Word Representation and Usage in VKontakte Social Network. - Ian Stewart; Dustin Arendt; Eric Bell; Svitlana Volkova (ICWSM, 2017)

The "y" of it Matters, Even for Storyline Visualization. - Dustin Arendt; Meg Pirrung (VAST, 2017)

Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams. - Lawrence Phillips; Kyle Shaffer; Dustin Arendt; Nathan Oken Hodas; Svitlana Volkova (Rep4NLP@ACL, 2017)

Understanding Cognitive Depletion in Novice NMR Analysts. - Lyndsey Franklin; Kyungsik Han; Zhuanyi Huang; Dustin Arendt; Nathan Oken Hodas (CoRR, 2017)

Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models. - Maria Glenski; Ellyn Ayton; Dustin Arendt; Svitlana Volkova (CoRR, 2017)

Interactive Machine Learning at Scale With CHISSL. - Dustin Arendt; Emily Grace; Svitlana Volkova (AAAI, 2018)

Can You Verifi This? Studying Uncertainty and Decision-Making About Misinformation Using Visual Analytics. - Alireza Karduni; Ryan Wesslen; Sashank Santhanam; Isaac Cho; Svitlana Volkova; Dustin Arendt; Samira Shaikh; Wenwen Dou (ICWSM, 2018)

Crush Your Data with ViC2ES Then CHISSL Away. - Dustin Lockhart Arendt; Lyndsey R. Franklin; Fumeng Yang; Brooke R. Brisbois; Ryan R. LaMothe (VizSEC, 2018)

Human Factors in Streaming Data Analysis: Challenges and Opportunities for Information Visualization. - Aritra Dasgupta 001; Dustin Lockhart Arendt; Lyndsey Franklin; Pak Chung Wong; Kristin A. Cook (Comput. Graph. Forum, 2018)

Learning from Dynamic User Interaction Graphs to Forecast Diverse Social Behavior. - Prasha Shrestha; Suraj Maharjan; Dustin Arendt; Svitlana Volkova (CIKM, 2019)

Explaining Multimodal Deceptive News Prediction Models. - Svitlana Volkova; Ellyn Ayton; Dustin Lockhart Arendt; Zhuanyi Huang; Brian Hutchinson (ICWSM, 2019)

Towards rapid interactive machine learning: evaluating tradeoffs of classification without representation. - Dustin Arendt; Emily Saldanha; Ryan Wesslen; Svitlana Volkova; Wenwen Dou (IUI, 2019)

Vulnerable to misinformation?: Verifi! - Alireza Karduni; Isaac Cho; Ryan Wesslen; Sashank Santhanam; Svitlana Volkova; Dustin Lockhart Arendt; Samira Shaikh; Wenwen Dou (IUI, 2019)

ReLVis: Visual Analytics for Situational Awareness During Reinforcement Learning Experimentation. - Emily Saldanha; Brenda Praggastis; Todd Billow; Dustin Lockhart Arendt (EuroVis (Short Papers), 2019)

Jaccard Filtration and Stable Paths in the Mapper. - Dustin Lockhart Arendt; Matthew Broussard; Bala Krishnamoorthy; Nathaniel Saul (CoRR, 2019)

Parallel embeddings: a visualization technique for contrasting learned representations. - Dustin L. Arendt; Nasheen Nur; Zhuanyi Huang; Gabriel Fair; Wenwen Dou (IUI, 2020)

How do visual explanations foster end users' appropriate trust in machine learning? - Fumeng Yang; Zhuanyi Huang; Jean Scholtz; Dustin L. Arendt (IUI, 2020)

Hypergraph Analytics of Domain Name System Relationships. - Cliff A. Joslyn; Sinan Aksoy; Dustin Arendt; Jesun Firoz; Louis Jenkins; Brenda Praggastis; Emilie Purvine; Marcin Zalewski (WAW, 2020)

CrossCheck: Rapid, Reproducible, and Interpretable Model Evaluation. - Dustin Arendt; Zhuanyi Huang; Prasha Shrestha; Ellyn Ayton; Maria Glenski; Svitlana Volkova (CoRR, 2020)

Evaluating Neural Machine Comprehension Model Robustness to Noisy Inputs and Adversarial Attacks. - Winston Wu; Dustin Arendt; Svitlana Volkova (CoRR, 2020)

Measure Utility, Gain Trust: Practical Advice for XAI Researcher. - Brittany Davis Pierson; Maria Glenski; William Sealy; Dustin Arendt (CoRR, 2020)

Evaluating Deception Detection Model Robustness To Linguistic Variation. - Maria Glenski; Ellyn Ayton; Robin Cosbey; Dustin Arendt; Svitlana Volkova (SocialNLP@NAACL, 2021)

Evaluating Neural Model Robustness for Machine Comprehension. - Winston Wu; Dustin Arendt; Svitlana Volkova (EACL, 2021)

Improving Synonym Recommendation Using Sentence Context. - Maria Glenski; William Sealy; Kate Miller; Dustin Arendt (SustaiNLP@EMNLP, 2021)

VAINE: Visualization and AI for Natural Experiments. - Grace Guo; Maria Glenski; ZhuanYi Shaw; Emily Saldanha; Alex Endert; Svitlana Volkova; Dustin Arendt (IEEE VIS (Short Papers), 2021)

Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages. - Maria Glenski; Ellyn Ayton; Robin Cosbey; Dustin Arendt; Svitlana Volkova (CoRR, 2021)

Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods. - Svitlana Volkova; Dustin Arendt; Emily Saldanha; Maria Glenski; Ellyn Ayton; Joseph Cottam; Sinan Aksoy; Brett Jefferson; Karthnik Shrivaram (Comput. Math. Organ. Theory, 2023)

Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows. - Grace Guo; Dustin Arendt; Alex Endert (CoRR, 2024)

Comparing explanations in RL. - Brittany Davis Pierson; Dustin Arendt; John Miller; Matthew E. Taylor (Neural Comput. Appl., 2024)

HyperNetX: A Python package for modeling complex network data as hypergraphs. - Brenda Praggastis; Sinan Aksoy; Dustin Arendt; Mark Bonicillo; Cliff A. Joslyn; Emilie Purvine; Madelyn Shapiro; Ji Young Yun (J. Open Source Softw., 2024)

Steinhaus Filtration and Stable Paths in the Mapper. - Dustin L. Arendt; Matthew Broussard; Bala Krishnamoorthy; Nathaniel Saul; Amber Thrall (SoCG, 2025)