Strategies for measuring peer alcohol use within egocentric network analysis

Author(s):  
Alex M. Russell ◽  
Adam E. Barry ◽  
Megan S. Patterson
2020 ◽  
Vol 34 (3) ◽  
pp. 217-228
Author(s):  
Matthew Katz ◽  
Bob Heere ◽  
E. Nicole Melton

The purpose of this study is to utilize egocentric network analysis to predict repurchase behaviors for college football season-ticket holders. Using a research approach grounded in network theory, we included the relational and behavioral characteristics of sport fans in a binomial regression model to predict renewal decisions among college football season-ticket holders. More specifically, we developed a model that incorporates the egocentric network variables, past behavior, and behavioral intentions to empirically test which consumer characteristics predict future behavior. Building on previous research emphasizing the role of socializing agents and social connections in sport fan consumption, through the use of egocentric network analysis, we examined the effects of social structure and social context on repurchasing decisions. Moreover, the present study is positioned within the larger discourse on season-ticket holders, as we aimed to add a network theory perspective to the existing research on season-ticket holder churn and renewal.


2020 ◽  
Vol 106 ◽  
pp. 154-170 ◽  
Author(s):  
José Alberto Benítez-Andrades ◽  
Isaías García-Rodríguez ◽  
Carmen Benavides ◽  
Héctor Alaiz-Moretón ◽  
Alejandro Rodríguez-González

2021 ◽  
pp. 030573562110039
Author(s):  
Manuel Längler ◽  
Jasperina Brouwer ◽  
Anneke Timmermans ◽  
Hans Gruber

Popular musicians are embedded in dynamic networks supporting their expertise development across different phases. During these phases, network actors support different aspects of deliberate practice in which a musician needs to engage to become an expert. Research in the domain of music is scarce in terms of investigating the change in the supportive networks of deliberate practice over time. Semi-structured interviews with five expert and five intermediate popular musicians were used to explore changes in networks supporting the deliberate practice during their childhood, apprenticeship, and career phases. Egocentric network analysis revealed that networks supporting the deliberate practice of expert musicians are more dynamic and less stable when considering the different phases than the networks of intermediates. In addition, experts are supported by a larger number of network actors during the developmental phases. In both groups, the number of network actors decreased as the musicians progressed through the phases. This decrease was more precipitous between the childhood and apprenticeship phases. Overall, expertise development as a popular musician depends not only on deliberate practice but also on the diversity and change in an adaptive support network from childhood to adulthood.


Author(s):  
Brea L. Perry ◽  
Bernice A. Pescosolido ◽  
Stephen P. Borgatti

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