Machine learningNetwork science
Dynamic Ego Network Analysis
Dynamic ego network analysis examines how the personal network surrounding a focal individual (the ego) changes over time. By collecting the same ego-centered network data at multiple time points, researchers can track tie formation and dissolution, shifts in network composition, and changes in structural properties such as density, constraint, and network size — and link these dynamics to individual outcomes.
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Sources
- Burt, R. S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 978-0-674-84372-1
- Crossley, N., Bellotti, E., Edwards, G., Everett, M. G., Koskinen, J., & Tranmer, M. (2015). Social Network Analysis for Ego-Nets. SAGE Publications. ISBN: 978-1-4462-0692-7