Complex Systems and Networks
Complex systems have many features including emergent properties, dynamic networks, and non-linear relationships. This research explores the use of complexity theory and network science to enhanceÂ community organizations that address societal problems.
Though there are various types of online communities, this research explores the use of Â web-based technologies to support the relevant online and offline interactions ofÂ communities that are established solely to fulfill a collective purpose.
AdditionalÂ research investigates the role of entitativity in online groups, or the extent to which a group is perceived as a real entity. This work in particular, is a collaborationÂ with The Virtual Communities Lab comprised of researchers from theÂ UNC CharlotteÂ Software & Information Systems, Â Psychology & Organization Science, andÂ Sociology Departments.
A social network is created by the interdependent relationships of people. Â The structure and strength of connections in these networks areÂ especiallyÂ beneficial among professionals when seeking new opportunities for advancement. Â This research utilizes game mechanics to design software systems which help users create, analyze & strengthen their social networks.
VisualizationÂ and visual analytics tools are being created to aid in the analysis of complex information in a variety of domains. Users interact with visual representations to understand and explore relationships in complex data. Using a financial visualization tool, this research examines how users understand, conceptualize, and remember their behaviors and interactions during the analysis process.