Ian McCulloh

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 24

Top Topics

Customer Satisfaction

Centrality Measures

Machine Learning Models

Top Venues

Frontiers Big Data

Publications

Clay Duncan, Ian McCulloh
Unmasking Bias in Chat GPT Responses. ASONAM (2023)
Ian McCulloh, Ben Cohen
Fragile Minds: Exploring the Link Between Social Media and Young Adult Mental Health. ASONAM (2023)
Trevor G. Kent, Nolan Edward Phillips, Ian McCulloh, Viveca Pavon-Harr, Heather G. Patsolic
Microscopic Markov Chain Approach for Measuring Mobility Driven SARS-CoV-2 Transmission. COMPLEX NETWORKS (2021)
Danielle Heymann, Collin Schwantes, Viveca Pavon-Harr, Ian McCulloh
Methods in Constrained Community Detection: An Integer Optimization Model and Heuristic Approach for Cohort Creation. SNAMS (2021)
Phillip Koshute, Jared Zook, Ian McCulloh
Recommending Training Set Sizes for Classification. CoRR (2021)
Benjamin Ortiz, Laura H. Kahn, Marc Bosch, Philip Bogden, Viveca Pavon-Harr, Onur Savas, Ian McCulloh
Improving Community Resiliency and Emergency Response With Artificial Intelligence. ISCRAM (2020)
Evan M. Williams, David Levin, Ian McCulloh
Improving LDA Topic Modeling with Gamma and Simmelian Filtration. ASONAM (2020)
Benjamin Ortiz, Laura H. Kahn, Marc Bosch, Philip Bogden, Viveca Pavon-Harr, Onur Savas, Ian McCulloh
Improving Community Resiliency and Emergency Response With Artificial Intelligence. CoRR (2020)
Nader Sehatbakhsh, Ellie Daw, Onur Savas, Amin Hassanzadeh, Ian McCulloh
Security and Privacy Considerations for Machine Learning Models Deployed in the Government and Public Sector (white paper). CoRR (2020)
Ian McCulloh, Nathan Ellis, Onur Savas, Paul Rodrigues
Assessing e-Recruiting on Social Media: FBI Case Study. ASONAM (2020)
Evan M. Williams, Valerie Novak, Dylan Blackwell, Paul Platzman, Ian McCulloh, Nolan Edward Phillips
Homophily and Transitivity in Bot Disinformation Networks. SNAMS (2020)
Jennifer Jin, Sophia Lam, Onur Savas, Ian McCulloh
Approaches for Quantifying Video Prominence, Narratives, & Discussion: Engagement on COVID-19 Related YouTube Videos. ASONAM (2020)
Florian Buettner, John Piorkowski, Ian McCulloh, Ulli Waltinger
AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings. CoRR (2020)
Ian McCulloh, Onur Savas
k-Truss Network Community Detection. ASONAM (2020)
Ian McCulloh, Kevin Kiernan, Trevor Kent
Inferring True COVID19 Infection Rates From Deaths. Frontiers Big Data 3 (2020)
Mandira Hegde, Ian McCulloh, John Piorkowski
Examining MOOC superposter behavior using social network analysis. ASONAM (2019)
Mohammed Rashed, John Piorkowski, Ian McCulloh
Evaluation of extremist cohesion in a darknet forum using ERGM and LDA. ASONAM (2019)
Sharon Grubner Hasson, John Piorkowski, Ian McCulloh
Social media as a main source of customer feedback: alternative to customer satisfaction surveys. ASONAM (2019)
Joseph Nassar, Viveca Pavon-Harr, Marc Bosch, Ian McCulloh
Assessing Data Quality of Annotations with Krippendorff Alpha For Applications in Computer Vision. CoRR (2019)
Alicia Bargar, Stephanie Pitts, Janis Butkevics, Ian McCulloh
Challenges and Opportunities to Counter Information Operations Through Social Network Analysis and Theory. CyCon (2019)
Richard Takacs, Ian McCulloh
Dormant bots in social media: Twitter and the 2018 U.S. senate election. ASONAM (2019)
Ian McCulloh, James M. Burck, Josef Behling, Michael Burks, Jonathon Parker
Leadership of Data Annotation Teams. SocialSens@IoTDI (2018)
Adam Reed, John Piorkowski, Ian McCulloh
Correlating NBA Team Network Centrality Measures with Game Performance. ASONAM (2018)
Shambavi Sadayappan, Ian McCulloh, John Piorkowski
Evaluation of Political Party Cohesion Using Exponential Random Graph Modeling. ASONAM (2018)
Kerstin Sailer, Ian McCulloh
Social networks and spatial configuration - How office layouts drive social interaction. Soc. Networks 34 (1) (2012)
Ian McCulloh, Kathleen M. Carley
Detecting Change in Longitudinal Social Networks. J. Soc. Struct. 12 (1) (2011)
Helen Armstrong, Ian McCulloh
Organizational Risk using Network Analysis. SAISMC (2010)
Helen Armstrong, Colin J. Armstrong, Ian McCulloh
A Course Applying Network Analysis to Organizational Risk in Information Security. SAISMC (2010)
Benjamin Ring, Stephen Henderson, Ian McCulloh
Gathering and Studying Email Traffic to Understand Social Networks. IKE (2008)
Ian McCulloh, Eric Daimler, Kathleen M. Carley
Using Latent Semantic Analysis of Email to Detect Change in Social Groups. DMIN (2008)
Ian McCulloh, Eric Daimler, Kathleen M. Carley
Using Term-Frequency-Inverse-Document Frequency of Email to Detect Change in Social Groups. IKE (2008)