Detecting Change in Human Social Behavior Simulation

Detecting Change in Longitudinal Social Networks

Changes in observed social networks may signal an underlying change within an organization, and may even predict significant events or behaviors. The breakdown of a team’s effectiveness, the emergence of informal leaders, or the preparation of an attack by a clandestine network may all be associated with changes in the patterns of interactions between group members. The ability to systematicall...

Computational Modeling and Simulation of Human Social Behavior and Culture

Social-Cognitive Factors in Health Behavior Change

Adoption and maintenance of health behaviors require two separate processes that take place in a motivation phase and in a volition phase. First, an intention to change is developed, among others, on the basis of self-beliefs. Second, self-regulation is at stake when it comes to planning, initiating, maintaining, and relapse management. Social cognition models of health behavior change address ...

"Hidden" social networks in behavior change interventions.

We investigated whether "hidden" (or unobserved) social networks were evident in a 2011 physical activity behavior change intervention in Belfast, Northern Ireland. Results showed evidence of unobserved social networks in the intervention and illustrated how the network evolved over short periods and affected behavior. Behavior change interventions should account for the interaction among parti...

Towards Detecting Anomalous User Behavior in Online Social Networks

Users increasingly rely on crowdsourced information, such as reviews on Yelp and Amazon, and liked posts and ads on Facebook. This has led to a market for blackhat promotion techniques via fake (e.g., Sybil) and compromised accounts, and collusion networks. Existing approaches to detect such behavior relies mostly on supervised (or semi-supervised) learning over known (or hypothesized) attacks....