NET-EXPO

NET-EXPO computes and visualizes network exposure metrics within Gephi to quantify how individuals in social networks are exposed to behaviors and affiliations.

Key Features:

• Network Exposure Model (Marsden et al., 1993; Burt, 1987; Valente, 1996, 2005): Assesses the influence of direct and indirect connections within a network on individual behavior.
• Affiliation Exposure Model (Fujimoto et al., 2011, 2012): Evaluates exposure based on shared affiliations or group memberships among individuals.
• Decomposed Network Exposure Models (Fujimoto, 2012; Fujimoto et al., 2013): Decomposes network exposure into more granular components for detailed analysis.
• Visualization Capabilities: Renders exposure metrics and their relationships with network structure for empirical analysis within Gephi.

Scientific Applications:

• Behavior adoption analysis: Investigates how social connections impact behavior adoption or change.
• Indirect influence and information spread: Analyzes the role of indirect connections in spreading information or behaviors.
• Affiliation effects analysis: Studies the effects of shared group affiliations on individual actions within networks.

Methodology:

Applies the Network Exposure Model, the Affiliation Exposure Model, and decomposed network exposure models to empirical network datasets to quantify exposure and correlate network structures with behavioral outcomes.