Social, Cultural, and Behavioral Modeling: 11th International Conference, SBP-BRiMS 2018, Washington, DC, USA, July 10-13, 2018, Proceedings (Lecture Notes in Computer Science, 10899)

This book constitutes the proceedings of the 11th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2018, held in Washington, DC, USA, in July 2018. The total of 27 short and 18 full papers presented in this volume was carefully reviewed and selected from 85 submissions. The contributions were organized in topical sections named: advances in sociocultural and behavioral process modeling; information, systems, and network science; applications for health and well-being; military and intelligence applications; cybersecurity. This volume consists of the proceedings of the 11th International Conference SBP-BRiMS 2018, held in Washington, DC, on July 10-13, 2018. The work presented at the Social Computing, Behavioral-Cultural Modeling, and Prediction (SBP) Conference and the Behavioral Representation in Modeling and Simulation (BRiMS) Society's conference continued in the scholarly tradition of the past conferences. The goal of this conference is to build this new community of social cyber scholars by bringing together and fostering interaction between members of the scientific, corporate, government, and military communities interested in understanding, forecasting, and impacting human sociocultural behavior. It is the charge of this community to build this new science, its theories, methods, and its scientific culture in a way that does not give priority to either social science or computer science, and to embrace change as the cornerstone of the community. The conference has a strong multidisciplinary heritage. As the papers in this volume show, people, theories, methods, and data from a wide number of disciplines are represented including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used including, but not limited to, machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics