Examining the link between different tie properties in ego networks (Omar Lizardo)
|Starts:||16:00 13 Jun 2018|
|Ends:||17:30 13 Jun 2018|
|What is it:||Seminar|
|Organiser:||School of Social Sciences|
|Who is it for:||University staff, Adults, Current University students|
Recent work in social network analysis has examined the theoretical implications of different ways of conceptualizing and measuring the notion of a “social tie.” Scholars have noted that previous work has used a multiplicity of not necessarily consistent definitions of this crucial notion, including static similarities, collocations, or comemberships, culturally specified role relations, subjective interpersonal sentiments, communicative interactions, or flows of emotional support and exchange.
In this talk, I introduce a novel data source, the NetHealth dataset, combining six ego-network survey panels collected over a two year period on a cohort of about 500 college students with unobtrusive behavioral data on electronic communication between each participant and every alter elicited in the name generator. I will examine the empirical linkages between sentiments (strong or weak emotional attachments), interaction frequencies, role-relations (status as friend, kin, acquaintance), socio-demographic similarities (homophily), and the provision of support and other exchange relations.
Omar Lizardo is Professor of Sociology at the University of Notre Dame, a fellow at the Kroc Institute for Peace Studies, and a member of the Interdisciplinary Center for Network Science and Applications
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