报告题目：Dynamics of Social Interactions and Agent Spreading in Social Insect Colonies: Effects of Environmental Events and Spatial Heterogeneity
摘要：The relationship between division of labor and individuals’ spatial behavior in social insect colonies provides a useful context to study how social interactions influence the spreading of agent (which could be information or virus) across distributed agent systems. In social insect colonies, spatial heterogeneity associated with variations of individual task roles, affects social contacts, and thus the way in which agent moves through social contact networks. We used an Agent Based Model (ABM) to mimic three realistic scenarios of agent spreading in social insect colonies. Our model suggests that individuals within a specific taska interact more with consequences that agent could potentially spread rapidly within that group, while agent spreads slower between task groups. Our simulations show a strong linear relationship between the degree of spatial heterogeneity and social contact rates, and that the spreading dynamics of agents follow a modified nonlinear logistic growth model with varied transmission rates for different scenarios. Our work provides an important insights on the dual-functionality of physical contacts. This dual-functionality is often driven via variations of individual spatial behavior, and can have both inhibiting and facilitating effects on agent transmission rates depending on environment. The results from our proposed model not only provide important insights on mechanisms that generate spatial heterogeneity, but also deepen our understanding of how social insect colonies balance the benefit and cost of physical contacts on the agents’ transmission under varied environmental conditions.
报告人简介： Dr.Kang is a Professor in Applied Mathematics at Arizona State University (ASU) where she obtained her PhD in 2008. Her research includes both modeling and theoretical components. The theoretical component involves the study of ecological and evolutionary dynamics pertaining to complex, adaptive systems. This research is often of keen interest to biologists, ecologists, epidemiologists and social scientists. The modeling component explores various modeling techniques, related to experiments and / or key hypotheses, designed to gain a better understanding both quantitatively and qualitatively of biological and social behaviors, structures and processes. Recently, Dr. Kang has been focusing on Complex Adaptive Systems and Population Dynamics of honeybee which are supported by many grant agencies such as NSF, Department of Defense, and The James S. McDonnell Foundation 21st Century Science Initiative in Studying Complex Systems Scholar Award. Dr. Kang is actively involved in encouraging women and girls to study and to have active careers in the mathematical sciences. She graduated 6 PHDs, 8 Masters and mentored more than 30 undergraduates (e.g., honor undergraduates). Most of these students are women or minorities.