The gears in network dynamics: The alter-trajectory approach

Area of Science:

• Social Network Analysis
• Sociology
• Developmental Psychology

Background:

• Egocentric networks are dynamic, yet research often overlooks the historical evolution of individual relationships.
• Previous studies focused on broad network changes or membership turnover, neglecting the detailed trajectories of alters.

Purpose of the Study:

• To develop a novel approach for analyzing the temporal dynamics of egocentric networks.
• To identify distinct types of ego networks based on the longitudinal patterns of their alters.
• To examine how life events are associated with different network dynamics in young adults.

Main Methods:

• Utilized longitudinal data from the UCNets study, tracking alters over three waves.
• Developed a method to delineate individual alter trajectories over time.
• Applied Multilevel Latent Growth Models to identify alter trajectories and ego network types.

Main Results:

• Identified six distinct alter trajectories: continuously active, awakened, dormant, dropped, transitory, and new.
• Coalesced these trajectories into three ego network types: anchored, shifting, and regenerative.
• Found that life events differentially shape network cores and peripheries, reinforcing or reconfiguring connections.

Conclusions:

• The novel trajectory-based approach provides a nuanced understanding of egocentric network dynamics.
• Network types (anchored, shifting, regenerative) exhibit unique compositional features and temporal changes.
• Life events play a significant role in shaping the structure and evolution of young adults' social networks.