1) The document discusses predicting the strength of ties between individuals in online social networks using measures of their ego network structures. It analyzes how factors like degree centrality, betweenness centrality, and dispersion within ego networks correlate with perceived tie strength.
2) An empirical study collected data on Facebook ego networks and tie strength perceptions from 41 respondents. Network measures like betweenness in ego networks were highly predictive of close ties.
3) The findings suggest that ego network analyses can reveal close friendships even without direct disclosure of that information, with implications for data privacy, understanding peer influence, and analyzing other networked data.
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Predicting tie strength with ego network structures
1. Predicting Tie Strength With Ego Network Structures
Simon Stolz*, Christian Schlereth
Public slides, available via slideshare.com
Forthcoming at Journal of Interactive Marketing
(* corresponding author)