Dr. Ian McCulloh
- 645.621.31 Engineering and Measuring Influence (Fall 2018)
- 605.631.31 Statistical Methods for Computer Science (Fall 2018)
- 605.633.81 Social Media Analytics (Fall 2018)
- 605.633.82 Social Media Analytics (Fall 2018)
- 605.801.21 Independent Study in Computer Science I (Fall 2018)
Ian McCulloh holds joint appointments as a Parson’s Fellow in the Bloomberg School of Public health, a Senior Lecturer in the Whiting School of Engineering and a senior scientist at the Applied Physics Lab, at Johns Hopkins University. His current research is focused on strategic influence in online networks. His most recent papers have been focused on the neuroscience of persuasion and measuring influence in online social media firestorms. He is the author of “Social Network Analysis with Applications” (Wiley: 2013), “Networks Over Time” (Oxford: forthcoming) and has published 48 peer-reviewed papers, primarily in the area of social network analysis. His current applied work is focused on educating soldiers and marines in advanced methods for open source research and data science leadership. He also works with various medical practitioners in the Baltimore area to improve the effectiveness of public health campaigns. He retired as a Lieutenant Colonel from the US Army after 20 years of service in special operations and improvised explosive device forensics. He founded the West Point Network Science Center and created the Army’s Advanced Network Analysis and Targeting (ANAT) program. In his most recent military assignments as a strategist, he led interdisciplinary teams of Ph.D. scientists at Special Operations Command Central (SOCCENT) and Central Command (CENTCOM) to conduct social science research in 15 countries across the Middle East and Central Asia to included denied areas, which he used to inform data-driven strategy for countering extremism and irregular warfare, as well as empirically assess the effectiveness of military operations. He holds a Ph.D. and M.S. from Carnegie Mellon University’s School of Computer Science, an M.S. in Industrial Engineering, and M.S. in Applied Statistics from the Florida State University, and a B.S. in Industrial Engineering from the University of Washington. He is married with four children and a granddaughter.
- B S Industrial Engineering, University of Washington
- MS in Applied Statistics Applied Statistics, Florida State University
- MS in Industrial Engineering Industrial Engineering, Florida State University
- MS Computation, Organization, & Society Sociology, Carnegie Mellon University
- PhD, Computation, Organization, & Society Computer Science, Carneige Mellon University
PublicationsMcCulloh, I. & Newton, S. (under review). Strain Theory as a Driver of Violent Extremism. Journal of Terrorism and Political Violence.
McCulloh, I. (2017). Assessing Neural Bases of Persuasion with Functional Near Infrared Spectroscopy (fNIRS) in Amman, Jordan. Johns Hopkins Applied Physics Laboratory Technical Report AOS-17-0198. February 2017. Laurel, MD.
McCulloh, I., Healy, S., Markakis, P. (2017). Characterization of Open Resources for Planning and Understanding Strategies (Corpus). Johns Hopkins Applied Physics Laboratory Technical Report AOS-17-0196. February 2017. Laurel, MD.
McCulloh, I. & Perrone, A. (2017). Review of R Packages for Social Network Analysis. In Encyclopedia of Social Network Analysis and Mining, (Ed. Reda Alhajj and Jon Rokne). Berlin: Springer.
McCulloh, I. & Newton, S. (2016). Social Strain as a Driver of Violent Extremism: Strain Theory and Emotions. Johns Hopkins Applied Physics Laboratory Technical Report AOS-17-0038. December 2016. Laurel, MD.
McCulloh, I. (2016). Neuroscience of Influence. In Bio-Psycho-Social Determinants of Behavior (Ed. Jason Spitaletta). Washington DC: Office of Secretary of Defense.
McCulloh, I. (2016). IkeNet: Email and Friendship Evolution. Connections, 36(1).
Moore, C.L., Steed, B., Shaikh, S., Eyre, D., McCulloh, I., Spitaletta, J., Munch, R., Worret, C. (2016). SMA White Paper: Maneuver and Engagement in the Narrative Space. Washington DC: Office of Secretary of Defense.
Sullivan, C., McCulloh, I., Schreurs, B., Goyea, T. & Heyman, M. (2015). Open Source Intelligence Integration Using Twitter for the Air Force Distributed Common Ground System. Johns Hopkins Applied Physics Laboratory Technical Report AOS-15-0618. September 2015. Laurel, MD.
McCulloh, I. (2014). Iraq: Mixed Method Research January 2014. US Central Command Information Operations Technical Report. Tampa, FL.
McCulloh, I. & Berger, M. (2014). Cultural Domain Analysis and Influence Opportunities in Syria (Interim Report January 2014). US Central Command Information Operations Technical Report. Tampa, FL.
McCulloh, Ian, Armstrong, Helen, Johnson, Anthony N. (2013). Social Network Analysis with Applications. Hoboken, NJ: John Wiley and Sons, Inc.
McCulloh, Ian (2013). Social Conformity in Networks. Connections, 33(1): 35-42.
McCulloh, Ian, Johnson, Anthony N., & Carley, Kathleen M. (2012). Spectral Analysis of Social Networks to Identify Periodicity. Journal of Mathematical Sociology, 36 (2): 80-96.
Sailer, Kerstin & McCulloh, Ian (2012). Social Networks and Spatial Configuration – How Office Layouts Drive Social Interaction. Journal of Social Networks, 34(1): 47-58.
McCulloh, Ian & Carley, Kathleen M. (2011). Detecting Change in Longitudinal Social Networks. Journal of Social Structure, 12(3).
McCulloh, Ian (2010). Network Topology Effects on Correlation Between Centrality Measures. Connections, 30(1): 21-28.
Lospinoso, Joshua, McCulloh, Ian, & Carley, Kathleen M. (2009). Utility Seeking in Complex Social Systems: An Applied Longitudinal Network Study on Command and Control. Proceedings, Artificial Intelligence and Social Behavior Modeling Annual Conference, Edinburgh, Scotland, 6-9 April.
McCulloh, Ian & Carley, Kathleen M. (2009). Longitudinal Dynamic Network Analysis Using the Over Time Viewer Feature in ORA. Carnegie Mellon University Institute for Software Research Technical Report 09-118. Pittsburgh, PA: Carnegie Mellon School of Computer Science.
McCulloh, Ian, Ring, Benjamin, Frantz, Terrill, & Carley, Kathleen, M. (2008). Unobtrusive Social Network Data from Email. In Proceedings, 26th Army Science Conference, Orlando, FL. Dec 2008.
McCulloh, Ian, Lospinoso, Joshua, & Carley, Kathleen, M. (2008). Network Simulation Models. In Proceedings, 26th Army Science Conference, Orlando, FL. Dec 2008.
McCulloh, Ian & Daimler, Eric & Carley, Kathleen M . (2008). Using latent semantic analysis of email to detect change in social groups. Proceedings of the 2008 International Conference on Data Mining, Las Vegas, NV, 14-17 July 2008, 613-618.
McCulloh, I.A., Morton, J., Jantzi, J.K., Rodriguez, A.M., and Graham, J. (2008) Quantifying the Efficiency of a Translator: The Effect of Syntactical and Literal Written Translations on Language Comprehension using the Machine Translation System FALCon (Foreign Area Language Converter). Applied Language Learning, 18 (1): 17-26.
McCulloh, Ian & Garcia, Gracie & Tardieu, Kelsey & MacGibbon, Jennifer & Dye, Heather & Moores, Kerry & Graham, John M . (2007). IkeNet: Social Network Analysis of E-mail Traffic in the Eisenhower Leadership Development Program. Technical Report, No. 1218, Arlington, VA: U.S. Army Research Institute for the Behavioral and Social Sciences.
McCulloh, Ian, Webb, Matthew, & Carley, Kathleen M. (2007). Social Network Monitoring of Al-Qaeda. Network Science, 1: 19-25.
McCulloh, Ian, Lospinoso, Joshua & Carley, Kathleen M . (2007). Social Network Probability Mechanics. Proceedings of the 12th International Conference on Applied Mathematics of the World Science Engineering Academy and Society, Cairo, Egypt. 30-31 December 2007, 319-325.
McCulloh, I.A., Massie, D., and Cordova, E. (2006). Response Surface Optimization of Lead-Azide for Explosive Detonators. In Proceedings, 25th Army Science Conference. Orlando, FL. November 2006.
Honors and Awards
- Sidney D. Drell Academic Intelligence Achievement Award, Intelligence and National Security Alliance (INSA) (2013)