Publications

D. Bernard, S. Cussat-Blanc, P.J. Giabbanelli (2023). Fast Generation of Heterogeneous Mental Models from Longitudinal Data by Combining Genetic Algorithms and Fuzzy Cognitive Maps. Proceedings of the Hawaii International Conference on Systems Science (HICSS).

K.A. Ghumrawi, K. Ha, J.T. Beerman, J.-D. Rudie, P.J. Giabbanelli (2023). Software Technology to Develop Large-Scale Self-Adaptive Systems: Accelerating Agent-Based Models and Fuzzy Cognitive Maps via CUDA. Proceedings of the Hawaii International Conference on Systems Science (HICSS).

R. Schuerkamp, P.J. Giabbanelli, N. Daclin (2023). Facilitating the interoperability and reuse of extensions of fuzzy cognitive maps. Proceedings of the Annual Modeling and Simulation Conference (ANNSIM). In-cooperation with ACM/IEEE.

J.T. Beerman, G.G. Beaumont, P.J. Giabbanelli (2023). On the necessity of human decision-making errors to explain vaccination rates for Covid-19: An Agent-Based Modeling Study. Proceedings of the Annual Modeling and Simulation Conference (ANNSIM). In-cooperation with ACM/IEEE.

M. Nguyen, D. Vu, A. Vo, L. Liang, P.J. Giabbanelli (2023). Preserving simulation insight while removing data: verification of compressed simulation traces via machine learning. Proceedings of the Annual Modeling and Simulation Conference (ANNSIM). In-cooperation with ACM/IEEE.

S. Cheng, P.J. Giabbanelli, Z. Kuang (2023). Identifying the building blocks of social simulation models: A qualitative analysis using open-source codes in NetLogo. Proceedings of the Annual Modeling and Simulation Conference (ANNSIM). In-cooperation with ACM/IEEE.

P.J. Giabbanelli, K.L. Rice, N. Nataraj, M.M. Brown, C.R. Harper (2023). A systems science approach to identifying data gaps in national data sources on adolescent suicidal ideation and suicide attempt in the United States. BMC Public Health, 23:627.

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B. Wang, A.A. Tawfik, P.J. Giabbanelli (2023). Transitioning from Individuals to Groups in Knowledge Map Construction. Technology, Knowledge and Learning.

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R. Schuerkamp, J. Barrett, A. Bales, A. Wegner, P.J. Giabbanelli (2023). Enabling New Interactions with Library Digital Collections: Automatic Gender Recognition in Historical Postcards via Deep Learning. The Journal of Academic Librarianship 49 (4), 102736.

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P.J. Giabbanelli, J.M. Badham, T.M. Gibson (2023). Special Issue on Data Science in Health Services. Information, 14(6).

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M.K. Wozniak, S. Mkhitaryan, P.J. Giabbanelli (2022). Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data. Proceedings of the International Conference on Computational Science (ICCS), 312-325.

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S.A. Schroeder, C. Vendome, P.J. Giabbanelli, A.M. Montfort (2022). Towards reusable building blocks to develop COVID-19 simulation models. Proceedings of the 2022 Winter Simulation Conference (WSC), 569-580. IEEE/ACM.

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J. Huddleston, M.C. Galgoczy, K.A. Ghumrawi, P.J. Giabbanelli, K.L. Rice, N. Nataraj, M.M. Brown, C.R. Harper (2022). Design and deployment of a simulation platform: case study of an agentbased model for youth suicide prevention. Proceedings of the 2022 Winter Simulation Conference (WSC), 2582-2593. IEEE/ACM.

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M.K. Wozniak, L. Liang, H. Phan, P.J. Giabbanelli (2022). A new application of machine learning: detecting errors in network simulations. Proceedings of the 2022 Winter Simulation Conference (WSC), 653-664. IEEE/ACM.

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(2022). Automatically explaining a model: using deep neural networks to generate text from causal maps. Proceedings of the 2022 Winter Simulation Conference (WSC), 2629-2640. IEEE/ACM.

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C.B. Lutz, P.J. Giabbanelli (2022). When Do We Need Massive Computations to Perform Detailed COVID-19 Simulations?. Advanced Theory and Simulations, 2100343.

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A. Negahban, PJ Giabbanelli (2022). Hybrid Agent-Based Simulation of Adoption Behavior and Social Interactions: Alternatives, Opportunities, and Pitfalls. IEEE Transactions on Computational Social Systems 9(3):770–780.

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A.J. Freund, P.J. Giabbanelli (2022). An Experimental Study on the Scalability of Recent Node Centrality Metrics in Sparse Complex Networks. Frontiers in big Data 5, 797584.

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M.C. Galgoczy, A. Patak, D. Vinson, V.K. Mago, P.J. Giabbanelli (2022). (Re)shaping online narratives: when bots promote the message of President Trump during his first impeachment. PeerJ Computer Science, 8:e947.

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P.J. Giabbanelli, K. Rice, M.C. Galgoczy, N. Nataraj, M.M. Brown, C.R. Harper, M.D. Nguyen, R. Foy (2022). Pathways to Suicide or Collections of Vicious Cycles? Understanding the Complexity of Suicide Through Causal Mapping. Social network analysis and mining 12 (1), 60.

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C.W.H. Davis, A.J. Jetter., P.J. Giabbanelli (2022). Automatically Generating Scenarios From a Text Corpus: A Case Study on Electric Vehicles. Sustainability 14 (13), 7938.

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P.J. Giabbanelli (2022). Hybrid Models That Combine Machine Learning and Simulations. Computing in Science & Engineering 24 (5), 72-76.

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S. Mkhitaryan, P.J. Giabbanelli, M.K. Wozniak, G. Nápoles, N. De Vries, R. Crutzen (2022). FCMpy: A python module for constructing and analyzing fuzzy cognitive maps. PeerJ Computer Science 8, e1078.

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P.J. Giabbanelli, A.A. Tawfik, B. Wang (2022). Designing the Next Generation of Map Assessment Systems: Open Questions and Opportunities to Automatically Assess a Student’s Knowledge as a Map. Journal of Research on Technology in Education 55 (1), 79-93.

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B. Wang, P.J. Giabbanelli (2022). Identifying Informative Features to Evaluate Student Knowledge as Causal Maps. International Journal of Artificial Intelligence in Education.

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P.J. Giabbanelli, C.X. Vesuvala (2022). Human factors in leveraging systems science to shape public policy for obesity. Information 14 (3), 196.

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P.J. Giabbanelli, C. Carothers (2022). Special Issue on ACM SIGSIM PADS’20. ACM Transactions on Modeling and Computer Simulation (TOMACS) 32(2).

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P.J. Giabbanelli, S. Swarup, R. Lambiotte, G. Mangioni (2022). Special Issue on Scalable Network Generation & Analysis. Frontiers in Big Data.

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M.K. Wozniak, P.J. Giabbanelli (2021). Comparing Implementations of Cellular Automata as Images: A Novel Approach to Verification by Combining Image Processing and Machine Learning. Proceedings of the 2021 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 13-25.

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J. Li, P.J. Giabbanelli (2021). Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model. Proceedings of the International Conference on Computational Science (ICCS), 655-662.

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P.J. Giabbanelli, P.J. Jackson (2021). How Do Teams of Novice Modelers Choose An Approach? An Iterated, Repeated Experiment In A First-Year Modeling Course. Proceedings of the International Conference on Computational Science (ICCS), 661-674.

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A.J. Freund, P.J. Giabbanelli (2021). The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model. Proceedings of the International Conference on Computational Science (ICCS), 407-421.

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J. Li, T. Koster, P.J. Giabbanelli (2021). How Modeling Methods for Fuzzy Cognitive Maps Can Benefit From Psychology Research. Proceedings of the 2021 Winter Simulation Conference (WSC). IEEE/ACM.

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J. Li, T. Koster, P.J. Giabbanelli (2021). Comparing the Effect of Code Optimizations on Simulation Runtime Across Synchronous Cellular Automata Models of HIV. Proceedings of the 2021 Winter Simulation Conference (WSC). IEEE/ACM.

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J. Li, T. Koster, P.J. Giabbanelli (2021). Design and evaluation of update schemes to optimize asynchronous Cellular Automata with random or cyclic orders. Proceedings of the 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT).

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K. Zia, A. Ferscha, M. Shafi, P.J. Giabbanelli (2021). Why honor culture? Lessons learned from an Agent-Based simulation model. Proceedings of the Annual Modeling and Simulation Conference (ANNSIM). In-cooperation with ACM/IEEE.

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P.J. Giabbanelli, J. Badham, B. Castellani, H. Kavak, V.K. Mago, A. Negahban, S. Swarup (2021). Opportunities and challenges in developing COVID-19 simulation models: lessons from six funded projects. Proceedings of the Annual Modeling and Simulation Conference (ANNSIM). In-cooperation with ACM/IEEE.

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D. Zhang, J. Thapa, G. Li, H. Son, Z. Chen, L. Mu, Y. Li, J. Liu, J. Pagan, P.J. Giabbanelli (2021). Scaling up the SNAP-ED toolkit intervention to improve fruit and vegetable consumption across counties in Georgia: an Agent Based Mode. Proceedings of the Annual Modeling and Simulation Conference (ANNSIM). In-cooperation with ACM/IEEE.

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A. Freund, P.J. Giabbanelli (2021). Automatically combining conceptual models using semantic and structural information. Proceedings of the Annual Modeling and Simulation Conference (ANNSIM). In-cooperation with ACM/IEEE.

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A. Freund, P.J. Giabbanelli (2021). Are we modeling the evidence or our own biases? A comparison of conceptual models created from reports. Proceedings of the Annual Modeling and Simulation Conference (ANNSIM). In-cooperation with ACM/IEEE.

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C. Lutz, P.J. Giabbanelli, A. Fisher (2021). How many costly simulations do we need to create accurate metamodels? A case study on predicting HIV viral load in response to clinically relevant intervention scenarios. Proceedings of the Annual Modeling and Simulation Conference (ANNSIM). In-cooperation with ACM/IEEE.

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P.J. Giabbanelli, M.C. Galgoczy, D.M. Nguyen, R. Foy, K.L. Rice, N. Nataraj, M.M. Brown, C.R. Harper (2021). Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science. Proceedings of the 2021 IEEE/ACM international conference on advances in social networks analysis and mining, 339-342.

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P.J. Giabbanelli, B. Tison, J. Keith (2021). The application of modeling and simulation to public health: Assessing the quality of Agent-Based Models for obesity. Simulation Modelling Practice and Theory 108, 102268.

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P.J. Giabbanelli, A.A. Tawfik (2021). How Perspectives of a System Change Based on Exposure to Positive or Negative Evidence. Systems 9 (2), 23.

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J. Li, P.J. Giabbanelli (2021). Returning to a Normal Life via COVID-19 Vaccines in the United States: A Large-scale Agent-Based Simulation Study. JMIR Medical Informatics 9 (4), e27419.

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B. Hedelin, S. Gray, S. Woehlke, T.K. BenDor, A. Singer, R. Jordan, M. Zellner, P.J. Giabbanelli, P. Glynn, K. Jenni, A. Jetter, N. Kolagani, B. Laursen, K.M. Leong, L. Schmitt Olabisi, E. Sterling (2021). What’s left before participatory modeling can fully support real-world environmental planning processes: A case study review. Environmental Modelling & Software 143, 105073.

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S. Vanovac, D. Howard, C.T. Monk, R. Arlinghaus, P.J. Giabbanelli (2021). Network analysis of intra- and inter-specific freshwater fish interactions using year-around tracking. Journal of the Royal Society Interface 18 (183), 20210445.

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P.J. Giabbanelli, A. Ligmann-Zielinska (2021). Modelling and Simulation of Human-Environment Interactions. Sustainability.

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P.J. Giabbanelli, J.A. Devita, T. Koster, J.A. Kohrt (2020). Optimizing discrete simulations of the spread of HIV-1 to handle billions of cells on a workstation. Proceedings of the 2021 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 67-78.

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C. Davis, P.J. Giabbanelli, A.J. Jetter. (2020). Fuzzy cognitive maps in agent based models: a practicial implementation example. Proceedings of the 2020 Spring Simulation Conference. In-cooperation ACM/IEEE.

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E.O. Grantham, P.J. Giabbanelli (2020). Creating perceptual uncertainty in Agent-Based Models with social interactions. Proceedings of the 2020 Spring Simulation Conference. In-cooperation ACM/IEEE.

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A. Fisher, B. Adhikari, C. Zhai, J.E. Morgan, V.K. Mago, P.J. Giabbanelli (2020). Predicting the resource needs and outcomes of computationally intensive biological simulations. Proceedings of the 2020 Spring Simulation Conference. In-cooperation ACM/IEEE.

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C. Vendome, D.M. Rao, P.J. Giabbanelli (2020). How do modelers code artificial societies? Investigating practices and quality of NetLogo codes from large repositories. Proceedings of the 2020 Spring Simulation Conference. In-cooperation ACM/IEEE.

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P.J. Giabbanelli, A.A. Tawfik (2020). Reducing the Gap Between the Conceptual Models of Students and Experts Using Graph-Based Adaptive Instructional Systems. HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games. HCII 2020. Lecture Notes in Computer Science, vol 12425. Springer.

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T. Koster, P.J. Giabbanelli, A.M. Uhrmacher (2020). Performance and Soundness of Simulation: A Case Study Based on a Cellular Automaton for in-Body Spread of HIV. Proceedings of the 2020 Winter Simulation Conference (WSC), 2281-2292. IEEE/ACM.

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A.A. Tawfik, W. Hung, P.J. Giabbanelli (2020). Comparing How Different Inquiry-based Approaches Impact Learning Outcomes. Interdisciplinary Journal of Problem-based Learning, 14(1).

S. Mkhitaryan, P.J. Giabbanelli, N.K. de Vries, R. Crutzen (2020). Dealing with complexity: how to use a hybrid approach to incorporate complexity in health behavior interventions. Intelligence- Based Medicine, 3–4: 100008.

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P.J. Giabbanelli, A.A. Voinov, B. Castellani, P. Tornberg (2019). Ideal, best, and emerging practices in creating artificial societies. Proceedings of the 2019 Spring Simulation Conference. In-cooperation ACM/IEEE.

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P.J. Giabbanelli, M. Fattoruso, M.L. Norman (2019). CoFluences: Simulating the Spread of Social Influences via a Hybrid Agent-Based/Fuzzy Cognitive Maps Architecture. Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 71-82.

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P.J. Giabbanelli, C.C. Freeman, J.A. Devita, N. Rosso, Z.L. Brumme (2019). Mechanisms for cell-to-cell and cell-free spread of HIV-1 in cellular automata models. Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 103-114.

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M. Sandhu, P.J. Giabbanelli, V.K. Mago (2019). From social media to expert reports: The impact of source selection on automatically validating complex conceptual models of obesity. Social Computing and Social Media. Design, Human Behavior and Analytics. HCII 2019. Lecture Notes in Computer Science, vol 11578. Springer.

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T. Reddy, P.J. Giabbanelli, V.K. Mago (2019). The artificial facilitator: guiding participants in developing causal maps using voice-activated technologies. Augmented Cognition. HCII 2019. Lecture Notes in Computer Science, vol 11580. Springer.

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C.W.H. Davis, P.J. Giabbanelli (2019). The intersection of agent based models and fuzzy cognitive maps: a review of an emerging hybrid modeling practice. Proceedings of the 2019 Winter Simulation Conference (WSC), 1292-1303. IEEE/ACM.

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P.J. Giabbanelli (2019). Solving Challenges at the Interface of Simulation and Big Data Using Machine Learning. Proceedings of the 2019 Winter Simulation Conference (WSC), 572-583. IEEE/ACM.

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V.S. Pillutla, P.J. Giabbanelli (2019). Iterative Generation of Insight from Text Collections Through Mutually Reinforcing Visualizations and Fuzzy Cognitive Maps. Applied Soft Computing, 76:459– 472.

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P.J. Giabbanelli (2019). Visual Analytics to Identify Temporal Patterns and Variability in Simulations from Cellular Automata. ACM Transactions on Modeling and Computer Simulation, 29(1):5.

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H.S. Firmansyah, S.H. Supangkat, A.A. Arman, P.J. Giabbanelli (2019). Identifying the Components and Interrelationships of Smart Cities in Indonesia: Supporting Policymaking via Fuzzy Cognitive Systems. IEEE Access, 7:46136–46151.

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N.D. Katapodis, D. Zhang, P.J. Giabbanelli, Y. Li, C.P. Lyford, J. Rajbhandari-Thapa (2019). Evaluating the Impact of Improving Access on Consumption of Fruits and Vegetables in a Rural Community in Texas: A Modeling Study. Health Equity, 3(1):382–389.

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M. Sandhu, C.D. Vinson, V.K. Mago, P.J. Giabbanelli (2019). From Associations to Sarcasm: Mining the Shift of Opinions Regarding the Supreme Court on Twitter. Online Social Networks and Media 14, 100054.

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S. Gray, E.J. Sterlin, P. Aminpour, L. Goralnik, A. Singer, C. Wei, S. Akabas, R.C. Jordan, P.J. Giabbanelli, J. Hodbod, E. Betley, P. Norris (2019). (Social-Ecological) Systems Thinking by Evaluating Cognitive Maps. Sustainability, 11(2):5753.

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E. Lavin, P.J. Giabbanelli, A.T. Stefanik, S.A. Gray, R. Arlinghaus (2018). Should we simulate mental models to assess whether they agree?. Proceedings of the 2018 Spring Simulation Conference. In-cooperation ACM/IEEE.

V.K. Gupta, P.J. Giabbanelli, A.A. Tawfik (2018). An online environment to compare students’ and expert solutions to ill-structured problems. Learning and Collaboration Technologies. Learning and Teaching. LCT 2018. Lecture Notes in Computer Science, vol 10925. Springer.

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N. Rosso, P.J. Giabbanelli (2018). Accurately inferring compliance to five major food guidelines through simplified surveys: applying data mining to the UK National Diet and Nutrition Survey. JMIR Public Health and Surveillance 4(2):e56.

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R. Jordan, S. Gray, M. Zellner, P.D. Glynn, A. Voinov, B. Hedelin, E.J. Sterling, K. Leong, L. Schmitt Olabisi, K. Hubacek, P. Bommel, T.K. BenDor, A.J. Jetter., B. Laursen, A. Singer, P.J. Giabbanelli, N. Kolagani, L. Basco-Carrera, K. Jenni, C. Prell (2018). Twelve questions for the participatory modeling community. Earth’s Future, 6(8):1046–1057.

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A. Voinov, K. Jenni, S. Gray, N. Kolagani, P.D. Glynn, P. Bommel, C. Prell, M. Zellner, M. Paolisso, R. Jordan, E. Sterling, L. Schmitt Olabisi, P.J. Giabbanelli, Z. Sun, C. Le Page, S. Elsawah, T.K. BenDor, K. Hubacek, B.K. Laursen, A. Jetter, L. Basco-Carrera, A. Singer, L. Young (2018). Tools and methods in participatory modeling: Selecting the right tool for the job. Environmental Modelling & Software, 109:232–255.

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M. Baniukiewicz., Z.L. Dick, P.J. Giabbanelli (2018). Capturing the fast-food landscape in England using large-scale network analysis. EPJ Data Science, 7(1):39.

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P.J. Giabbanelli, V.K. Mago, E.I. Papageorgiou (2018). Advanced Data Analytics in Health. Springer series on ‘Smart Innovation, Systems and Technologies’, volume 93, 216 pages.

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I. Patel, H. Nguyen, E. Belyi, Y. Getahun, S. Abdulkareem, P.J. Giabbanelli, V.K. Mago (2017). Modeling information spread in polarized communities: transitioning from legacy media to a Facebook world. Proceedings of the 2017 IEEE SouthEast Conference.

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E. Lavin, P.J. Giabbanelli (2017). Analyzing and simplifying model uncertainty in fuzzy cognitive maps. Proceedings of the 2017 Winter Simulation Conference (WSC), 1868-1879. IEEE/ACM.

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P.J. Giabbanelli, R. Crutzen (2017). Using agent-based models to develop public policy about food behaviours: future directions and recommendations. Computational and Mathematical Methods in Medicine: 5742629.

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A.A. Tawfik, T.D. Reeves, A.E. Stich, A. Gill, C. Hong, J. McDade, V.S. Pillutla, X. Zhou, P.J. Giabbanelli (2017). The nature and level of learner–learner interaction in a chemistry massive open online course (MOOC). Journal of Computing in Higher Education, 29(3):411-431.

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P.J. Giabbanelli, S.A. Gray, P. Aminpour (2017). Combining fuzzy cognitive maps with agent-based modeling: Frameworks and pitfalls of a powerful hybrid modeling approach to understand human-environment interactions. Environmental Modelling & Software, 95:320–325.

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P.J. Giabbanelli, A.A. Tawfik (2017). Overcoming the PBL Assessment Challenge: Design and Development of the Incremental Thesaurus for Assessing Causal Maps (ITACM). Technology, Knowledge and Learning 24, 161-168.

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A.A. Tawfik, P.J. Giabbanelli, M. Hogan, F. Msilu, A. Gill, C.S. York (2017). Effects of success v failure cases on learner-learner interaction. Computers & Education, 118:120–132.

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P.J. Giabbanelli, J. Adams, V.S. Pillutla (2016). Feasibility and framing of interventions based on public support: leveraging text analytics for policymakers. Social Computing and Social Media. SCSM 2016. Lecture Notes in Computer Science, vol 9742. Springer.

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P.J. Giabbanelli, G.J. Babu, M. Baniukiewicz. (2016). A novel visualization environment to support modelers in analyzing data generated by cellular automata. Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management. DHM 2016. Lecture Notes in Computer Science, vol 9745. Springer.

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T. Verigin, P.J. Giabbanelli, P.I. Davidsen (2016). Supporting a systems approach to healthy weight interventions in British Columbia by modeling weight and well-being. Proceedings of the 2016 Spring Simulation Conference. In-cooperation ACM/IEEE.

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P.J. Giabbanelli, V.K. Mago (2016). Teaching Computational Modeling in the Data Science Era. Proceedings of the International Conference on Computational Science (ICCS), Procedia Computer Science 80, 1968-1977.

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P.J. Giabbanelli, J. Adams (2016). Identifying small groups of foods that can predict achievement of key dietary recommendations: data mining of the UK National Diet and Nutrition Survey, 2008-2012. Public Health Nutrition, 19(9):1543–1551.

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E. Belyi, P.J. Giabbanelli, I. Patel, N.H. Balabhadrapathruni, A. Ben Abdallah, W. Hameed, V.K. Mago (2016). An Experimental Approach of Mining Pharmaceutical Data. Journal of Supercomputing, 72(5):2014–2034.

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A. Abbasi, A.-S. Sahlqvist, L. Lotta, J.M. Brosnan, P. Vollenweider, P.J. Giabbanelli, D.J. Nunez, D. Waterworth, R.A. Scott, C. Langenberg, N.J. Wareham (2016). A Systematic Review of Biomarkers and Risk of Incident Type 2 Diabetes: An Overview of Epidemiological, Prediction and Aetiological Research Literature. PLoS One 11(10): e0163721.

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V.K. Mago, P.J. Giabbanelli (2016). Special Issue on Intelligent Healthcare Systems. Journal of Intelligent Systems 25(1):1–2.

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P.J. Giabbanelli, J.G. Peters (2015). An algebraic approach to combining classifiers. Proceedings of the International Conference on Computational Science (ICCS), Procedia Computer Science 51, 1545-1554.

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P.J. Giabbanelli, P.J. Jackson (2015). Using visual analytics to support the integration of expert knowledge in the design of medical models and simulations. Proceedings of the International Conference on Computational Science (ICCS), Procedia Computer Science 51, 755-764.

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E.R. Rana, P.J. Giabbanelli, N.H. Balabhadrapathruni, V.K. Mago (2015). Exploring the relationship between adherence to treatment and viral load through a new discrete simulation model of HIV infectivity. Proceedings of the 2015 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 145-156.

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R. Crutzen, P.J. Giabbanelli, A. Jander, L. Mercken, H. de Vries (2015). Identifying binge drinkers based on parenting dimensions and alcohol-specific parenting practices: building classifiers on adolescent-parent paired data. BMC Public Health 15(1):747.

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R. Crutzen, P.J. Giabbanelli (2014). Using classifiers to identify binge drinkers based on drinking motives. Substance use and misuse 49(1–2):110–115.

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P.J. Giabbanelli (2014). Modelling the spatial and social dynamics of insurgency. Security Informatics 3(1):2.

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D. Zhang, P.J. Giabbanelli, O.A. Arah, T. Rice, F.J. Zimmerman (2014). Impact of different policies on unhealthy dietary behaviors in an urban adult population: an agent-based simulation model. American Journal of Public Health 104(7):1217–1222.

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P.J. Giabbanelli, R. Crutzen (2014). Creating groups with similar expected behavioural response in randomized controlled trials: a fuzzy cognitive map approach. BMC medical research methodology 14 (1), 1-19.

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P.J. Giabbanelli, R. Crutzen (2014). Supporting self-management in obesity using a novel game architecture. Health Informatics Journal, 21(3):223-236.

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P.J. Giabbanelli (2013). A novel framework for complex networks and chronic diseases. Complex Networks. Studies in Computational Intelligence, vol 424. Springer.

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P.J. Giabbanelli, P.B. Deck, L. Andres, T. Schiphorst, D.T. Finegood (2013). Supporting a participant-centric management of obesity via a self-improving health game. Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management. Healthcare and Safety of the Environment and Transport. DHM 2013. Lecture Notes in Computer Science, vol 8025. Springer.

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S.F. Pratt, P.J. Giabbanelli, J.-S. Mercier (2013). Detecting unfolding crises with visual analytics and conceptual maps: emerging phenomena and big data. Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 200-205.

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P.J. Giabbanelli, R. Crutzen (2013). An agent-based social network model of binge drinking among Dutch adults. Journal of Artificial Societies and Social Simulations 16(2):10.

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P.J. Giabbanelli, A.A. Reid, V. Dabbaghian (2012). Interdisciplinary teaching and learning in computing science: three years of experience in the MoCSSy program. Proceedings of the Seventeenth Western Canadian Conference on Computing Education, 47-51.

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P.J. Giabbanelli (2012). Ingredients for student-centered learning in undergraduate computing science courses. Proceedings of the Seventeenth Western Canadian Conference on Computing Education, 7-11.

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S.F. Pratt, P.J. Giabbanelli, P. Jackson, V.K. Mago (2012). Rebel with many causes: a computational model of insurgency. Proceedings of the 2012 IEEE International Conference on Intelligence and Security Informatics, 90-95.

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P.J. Giabbanelli, A. Alimadad, V. Dabbaghian, D.T. Finegood (2012). Modeling the influence of social networks and environment on energy balance and obesity. Journal of Computational Science 3:17–27.

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P.J. Giabbanelli, T. Torsney-Weir, V.K. Mago (2012). A fuzzy cognitive map of the psychosocial determinants of obesity. Applied Soft Computing 12(12):3711–3724.

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P.J. Giabbanelli (2011). The small-world property in networks growing by active edges. Advances in Complex Systems 14(6):853–869.

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P.J. Giabbanelli, J.G. Peters (2011). Complex networks and epidemics. Technique et Science Informatiques 30:181–212.

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P.J. Giabbanelli (2010). Impact of complex network properties on routing in backbone networks. Proceedings of the 2010 IEEE Globecom Workshops, 389-393.

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P.J. Giabbanelli, D. Mazauric, S. Perennes (2010). Computing the average path length and a label-based routing in a small-world graph. 12èmes Rencontres Francophones sur les Aspects Algorithmiques de Télécommunications (AlgoTel).

P.J. Giabbanelli, D. Mazauric, J.-C. Bermond (2010). Average path length of deterministic and stochastic recursive networks. Complex Networks. Communications in Computer and Information Science, vol 116. Springer.

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C. Eslahchi, H. Pezeshk, M. Sadeghi, P.J. Giabbanelli, F. Movahedi, V. Dabbaghian (2010). A probabilistic model for the spread of HIV infection among injection drug users. World Journal of Modelling and Simulation 6(4):267–273.

P.J. Giabbanelli (2009). Why having in-person lectures when e-learning and podcasts are available?. Proceedings of the 14th Western Canadian Conference on Computing Education, 42-44.

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