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Ian McCulloh
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2020 – today
- 2023
- [c23]Ian McCulloh, Ben Cohen:
Fragile Minds: Exploring the Link Between Social Media and Young Adult Mental Health. ASONAM 2023: 475-479 - [c22]Clay Duncan, Ian McCulloh:
Unmasking Bias in Chat GPT Responses. ASONAM 2023: 687-691 - 2021
- [c21]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: 301-314 - [c20]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: 1-8 - [i5]Phillip Koshute, Jared Zook, Ian McCulloh:
Recommending Training Set Sizes for Classification. CoRR abs/2102.09382 (2021) - 2020
- [j3]Ian McCulloh, Kevin Kiernan, Trevor Kent:
Inferring True COVID19 Infection Rates From Deaths. Frontiers Big Data 3: 565589 (2020) - [c19]Ian McCulloh, Onur Savas:
k-Truss Network Community Detection. ASONAM 2020: 590-593 - [c18]Evan M. Williams, David Levin, Ian McCulloh:
Improving LDA Topic Modeling with Gamma and Simmelian Filtration. ASONAM 2020: 692-696 - [c17]Ian McCulloh, Nathan Ellis, Onur Savas, Paul Rodrigues:
Assessing e-Recruiting on Social Media: FBI Case Study. ASONAM 2020: 742-747 - [c16]Jennifer Jin, Sophia Lam, Onur Savas, Ian McCulloh:
Approaches for Quantifying Video Prominence, Narratives, & Discussion: Engagement on COVID-19 Related YouTube Videos. ASONAM 2020: 811-818 - [c15]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: 35-41 - [c14]Evan M. Williams, Valerie Novak, Dylan Blackwell, Paul Platzman, Ian McCulloh, Nolan Edward Phillips:
Homophily and Transitivity in Bot Disinformation Networks. SNAMS 2020: 1-7 - [i4]Florian Buettner, John Piorkowski, Ian McCulloh, Ulli Waltinger:
AAAI FSS-19: Human-Centered AI: Trustworthiness of AI Models and Data Proceedings. CoRR abs/2001.05375 (2020) - [i3]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 abs/2005.14212 (2020) - [i2]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 abs/2010.05809 (2020)
2010 – 2019
- 2019
- [c13]Mandira Hegde, Ian McCulloh, John Piorkowski:
Examining MOOC superposter behavior using social network analysis. ASONAM 2019: 696-700 - [c12]Richard Takacs, Ian McCulloh:
Dormant bots in social media: Twitter and the 2018 U.S. senate election. ASONAM 2019: 796-800 - [c11]Sharon Grubner Hasson, John Piorkowski, Ian McCulloh:
Social media as a main source of customer feedback: alternative to customer satisfaction surveys. ASONAM 2019: 829-832 - [c10]Mohammed Rashed, John Piorkowski, Ian McCulloh:
Evaluation of extremist cohesion in a darknet forum using ERGM and LDA. ASONAM 2019: 899-902 - [c9]Alicia Bargar, Stephanie Pitts, Janis Butkevics, Ian McCulloh:
Challenges and Opportunities to Counter Information Operations Through Social Network Analysis and Theory. CyCon 2019: 1-18 - [i1]Joseph Nassar, Viveca Pavon-Harr, Marc Bosch, Ian McCulloh:
Assessing Data Quality of Annotations with Krippendorff Alpha For Applications in Computer Vision. CoRR abs/1912.10107 (2019) - 2018
- [c8]Shambavi Sadayappan, Ian McCulloh, John Piorkowski:
Evaluation of Political Party Cohesion Using Exponential Random Graph Modeling. ASONAM 2018: 298-301 - [c7]Adam Reed, John Piorkowski, Ian McCulloh:
Correlating NBA Team Network Centrality Measures with Game Performance. ASONAM 2018: 1291-1294 - [c6]Ian McCulloh, James M. Burck, Josef Behling, Michael Burks, Jonathon Parker:
Leadership of Data Annotation Teams. SocialSens@IoTDI 2018: 26-31 - [r1]Ian McCulloh, Alexander Perrone:
R Packages for Social Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2012
- [j2]Kerstin Sailer, Ian McCulloh:
Social networks and spatial configuration - How office layouts drive social interaction. Soc. Networks 34(1): 47-58 (2012) - 2011
- [j1]Ian McCulloh, Kathleen M. Carley:
Detecting Change in Longitudinal Social Networks. J. Soc. Struct. 12(1) (2011) - 2010
- [c5]Helen Armstrong, Ian McCulloh:
Organizational Risk using Network Analysis. SAISMC 2010: 132-141 - [c4]Helen Armstrong, Colin J. Armstrong, Ian McCulloh:
A Course Applying Network Analysis to Organizational Risk in Information Security. SAISMC 2010: 204-214
2000 – 2009
- 2008
- [c3]Ian McCulloh, Eric Daimler, Kathleen M. Carley:
Using Latent Semantic Analysis of Email to Detect Change in Social Groups. DMIN 2008: 613-618 - [c2]Ian McCulloh, Eric Daimler, Kathleen M. Carley:
Using Term-Frequency-Inverse-Document Frequency of Email to Detect Change in Social Groups. IKE 2008: 333-337 - [c1]Benjamin Ring, Stephen Henderson, Ian McCulloh:
Gathering and Studying Email Traffic to Understand Social Networks. IKE 2008: 338-343
Coauthor Index
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