The growing interest in social networks has led to many advances in the study of networks across different fields, from physics to sociology. Until recently, most research was focused on static networks, representing only snapshots of the data. To understand the evolution of social networks and their effect on individuals, we need to analyze how they change in time. In this project, students will model social network dynamics in different species using cutting-edge methods, to study the role of individual attributes and network-inherent rules in shaping social structures.
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NIMBioS is supported by the
National Science Foundation
through NSF Award #DBI-1300426, with additional support from
The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.