Year: 2019
Type: dissertation
Abstract: An understanding of how individuals view their social network and the implications thereof is a prominent theme in social network analysis.An individual is considered to have an accurate cognition about their social network when their perception of the relations between other actors in the social network is similar to the actual relations in the social network.Current social network accuracy measures are limited to measuring similarity between specific actors in the social network, however, it is plausible that individuals perceive their social network in terms of higher-order network structures.This research project addresses this gap in social network cognitive accuracy measures by proposing three network structural accuracy measures for determining an individual's structural accuracy.The three structural accuracy measures were demonstrated on four social networks of two small entrepreneurial firms and compared to interpersonal accuracy.The triadic accuracy measures only showed substantial difference with ii
Author: Vincent Frenz
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2945837945