Dr. Ian McCulloh

Computer Science

Personal Bio

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.

Education History

  • 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

Work Experience

Senior Professional Staff, JHU Applied Physics Laboratory

Publications

McCulloh, I. & Newton, S. (under review). Strain Theory as a Driver of Violent Extremism. Journal of Dynamics of Asymmetric Conflict.

Burns, S.M., Barnes, L.N., McCulloh, I., Dagher, M., Falk, E.B., Lieberman, M.D. (in press). Making social neuroscience less WEIRD: Neural signatures of persuasive influence in the Middle East as measured with fNIRS. Journal of Personality and Social Psychology.

Reed, A., Piorkowski, J., & McCulloh, I. (2018). Correlating NBA Team Network Centrality Measures with Game Performance. In Proceedings 2018 IEEE/ACM Conference on Advances in Social Network Analysis and Mining 2018.

Sadayappan, S., Piorkowski, J., & McCulloh, I. (2018). Evaluation Political Party Cohesion Using Exponential Random Graph Modeling. In Proceedings 2018 IEEE/ACM Conference on Advances in Social Network Analysis and Mining 2018.

McCulloh, I., Cohen, R., Takacs, R. (2018) Better Quality Classifiers for Social Media Content: Crowdsourcing with Decision Trees. In Proceedings 6th International Conference on Advanced Computing, Networking, and Informatics. Silchar, India: Springer.

McCulloh, I., Burck, J., Behling, J., Burks, M., Parker, J. (2018) Leadership of Data Annotation Teams. In Proceedings Social Sens 2018. Orlando, FL: IEEE.

McCulloh, I. (2018). IkeNet: Email and Friendship Evolution. Connections, 36(1).

McCulloh, I., McCulloh, L. (2018). Knowing the Terrain: Explicit and Implicit Measures of the Population. In SMA White Paper What Do Others Think and How Do We Know What They Are Thinking? (Ed. M. Yager). Washington DC: Office of Secretary of Defense.

McCulloh, I., Seese, G. (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.

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, I. (2013). Social Conformity in Networks. Connections, 33(1): 35-42.

McCulloh, I., Johnson, A. N., & Carley, K.M. (2012). Spectral Analysis of Social Networks to Identify Periodicity. Journal of Mathematical Sociology, 36 (2): 80-96.

Sailer, K. & McCulloh, I. (2012). Social Networks and Spatial Configuration – How Office Layouts Drive Social Interaction. Journal of Social Networks, 34(1): 47-58.

Alexander, P., Armstrong, H. & McCulloh, I. (2011). Towards supply chain excellence using network analysis, In Proceedings, 2011 IEEE Network Science Workshop, 22-24 June 2011, pp. 90-97.

Casey, K. & McCulloh, I. (2011). HTS Support to Information Operations: Integrating HTS into COIN Operations. Military Intelligence Professional Bulletin, Oct-Dec 2011, pp. 28-32.

McCulloh, Ian & Carley, K.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.

Armstrong, H. & McCulloh, I. (2010). Organizational risk using network analysis, In Clarke, N. and Furnell, S. and von Solms, R. (ed), South African Information Security Multi-Conference (SAISMC 2010), May 17 2010, pp. 132-141. Port Elizabeth, South Africa: Centre for Security, Communications & Network Research.

Armstrong, H., Armstrong, C. & McCulloh, I. (2010). A Course Applying Network Analysis to Organizational Risk, In Clarke, N. and Furnell, S. and von Solms, R. (ed), South African Information Security Multi-Conference (SAISMC 2010), May 17 2010, pp. 204-214. Port Elizabeth, South Africa: Centre for Security, Communications & Network Research.

McCulloh, I., & Carley, K.M., (2010) The Link Probability Model: An Alternative to the Exponential Random Graph Model for Longitudinal Data. Carnegie Mellon University, School of Computer Science, Institute for Software Research, Technical Report CMU-ISR-10-130. Pittsburgh, PA.

McCulloh, I. (2009) Comparison of Relational Networks. In Proceedings of the 5th U.K. Social Networks Conference, University of Greenwhich, UK.

Lospinoso, J., McCulloh, I., & Carley, K.M. (2009). Utility Seeking in Complex Social Systems: An Applied Longitudinal Network Study on Command and Control. In Proceedings of Artificial Intelligence and Social Behavior Modeling, Edinburgh, Scotland.

McCulloh, I. & Carley, K.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.

McCulloh, I., Lospinoso, J. (2009) Statistically Significant Changes in Social Networks. U.S. Military Academy Network Science Center Technical Report 09-003, West Point, NY.

Lospinoso, J., McCulloh, I., & Johnson, A. (2009). Interfacing Network Simulations and Empirical Data. US Military Academy Network Science Center Technical Report 09-001, West Point, NY.

McCulloh, I., & Carley, K.M. (2008). Dynamic Network Change Detection. In Proceedings, 26th Army Science Conference, Orlando, Florida. 5.8% acceptance rate.

Lospinoso, J., McCulloh, I., & Carley, K.M. (2008). Network Simulation Models. In Proceedings, 26th Army Science Conference, Orlando, Florida. 5.8% acceptance rate.

McCulloh, I., Ring, B., Frantz, T., & Carley, K.M. (2008). Unobtrusive Social Network Data from Email. In Proceedings, 26th Army Science Conference, Orlando, Florida. 5.8% acceptance rate.

McCulloh, Ian, Daimler, Eric, & Carley, K.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.13-17 July 2008, 48% acceptance rate.

Ring, B., Henderson, S., & McCulloh, I. (2008). Gathering and Studying Email Traffic to Understand Social Networks. Proceedings of the 2008 International Conference on Information and Knowledge Engineering, Las Vegas, NV.13-17 July 2008.

McCulloh, I., Daimler, E., & Carley, K.M . (2008). Using term-frequency-inverse-document frequency of email to detect change in social groups. Proceedings of the 2008 International Conference on Information and Knowledge Engineering, Las Vegas, NV.13-17 July 2008.

Morton, J., Jantzi, J.K., Rodriguez, A.M., McCulloh, I.A., & Graham, J. (2008). Quantifying the Efficacy 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):17-25.

McCulloh, Ian, & Carley, K. M. (2008). Detecting Change in Human Social Behavior Simulation. Carnegie Mellon University, School of Computer Science, Institute for Software Research, Technical Report CMU-ISR-08-135, Pittsburgh, PA.

McCulloh, Ian, & Carley, K. M. (2008). Social Network Change Detection. Carnegie Mellon University, School of Computer Science, Institute for Software Research, Technical Report CMU-ISR-08-116, Pittsburgh, PA.

McCulloh, I.A., Webb, M., & Graham, J. (2008). Change Detection in Social Networks. U.S Army Research Institute for the Behavioral and Social Sciences Technical Report 1235, Arlington, VA.

McCulloh, I.A., Lospinoso, J., & Carley, K.M. (2007). Social Network Probability Mechanics. In Proceedings, 12th International Conference on Applied Mathematics of the World Science Engineering Academy and Society, Cairo, Egypt. 30-31 December 2007. pp 319-325.

Moxley, F.I., Graham, J.M., & McCulloh, I. (2007). On the Science of Networks – An Emerging Approach. In Proceedings, 12th International Command and Control Technology Symposium (ICCRTS). Washington DC: Office of the Secretary of Defense.

McCulloh, I.A., Webb, M., & Carley, K. (2007). Social Network Monitoring of Al-Qaeda. Network Science. 1(1): 25-30.

McCulloh, I.A., Graham, J., Garcia, G., MacGibbon, J., Tardieu, K., Dye, H., & Moores, K. (2007). IkeNet: Social Network Analysis of e-mail Traffic in the Eisenhower Leadership Development Program. U.S Army Research Institute for the Behavioral and Social Sciences Technical Report 1218, Arlington, VA.

Paynter, J., McCulloh, I., & Graham, J. (2006). Application of Confidence Intervals to Text-Based Social Network Construction. U.S. Military Academy Technical Report, West Point, NY.

McCulloh, I.A., Massie, D., & Cordova, E. (2006). Response Surface Optimization of Lead-Azide for Explosive Detonators.In Proceedings, 25th Army Science Conference. Orlando, FL. November 2006. 46% acceptance rate.

McCulloh, I.A., Morton, J., Jantzi, J.K., Rodriguez, A.M., Stanford, J., & Graham, J. (2006). Efficacy in Automated Language Translators.In Proceedings, 25th Army Science Conference. Orlando, FL. November 2006. 46% acceptance rate.

Stanford, J., & McCulloh, I. (2006). Text Analysis Using Automated Language Translators. In Proceedings, 14th Army Research Lab – US Military Academy Technical Symposium. Aberdeen, MD November 2006.

Benedosso, A., & McCulloh, I.A. (2006). Confronting the Bio-Terrorism Dilemna. Army Chemical Review. October 2006: 8-9.

McCulloh, I.A., & Wattenberg F. (2005). factorResponse. MathDL, OSSLETS.

McCulloh, I.A., McInvale, H.D., & Gussenhoven, R. (2005). Take Boards. PRIMUS. June 2005.

Ferriter, E. A., McCulloh, I. A., & deRosset, W. (2005). Techniques Used to Estimate Limit Velocity in Ballistics Testing with Small Sample Size. In Proceedings, 13th Army Research Lab – US Military Academy Technical Symposium. Aberdeen, MD November 2005.

McCulloh, I.A. (2004). Computer Simulation of Decontamination Operations. Army Chemical Review. October 2004:15-19.

Honors and Awards

  • Sidney D. Drell Academic Intelligence Achievement Award, Intelligence and National Security Alliance (INSA) (2013)

Professional Organizations

International Network of Social Network Analysts