scholarly journals Social Network Mediation Analysis: A Latent Space Approach

Psychometrika ◽  
2020 ◽  
Author(s):  
Haiyan Liu ◽  
Ick Hoon Jin ◽  
Zhiyong Zhang ◽  
Ying Yuan
Author(s):  
Florent Monay ◽  
Pedro Quelhas ◽  
Daniel Gatica-Perez ◽  
Jean-Marc Odobez

2017 ◽  
Vol 51 ◽  
pp. 104-117 ◽  
Author(s):  
Giulia Berlusconi ◽  
Alberto Aziani ◽  
Luca Giommoni
Keyword(s):  

2021 ◽  
Vol 12 (2) ◽  
pp. 1-44
Author(s):  
Ka Chung Ng ◽  
Mike K. P. So ◽  
Kar Yan Tam

Interfirm relationships are crucial to our understanding of firms’ collective and interactive behavior. Many information systems-related phenomena, including the diffusion of innovations, standard alliances, technology collaboration, and outsourcing, involve a multitude of relationships between firms. This study proposes a latent space approach to model temporal change in a dual-view interfirm network. We assume that interfirm relationships depend on an underlying latent space; firms that are close to each other in the latent space are more likely to develop a relationship. We construct the latent space by embedding two dynamic networks of firms in an integrated manner, resulting in a more comprehensive view of an interfirm relationship. We validate our approach by introducing three business measures derived from the latent space model to study alliance formation and stock comovement. We illustrate how the trajectories of firms provide insights into alliance activities. We also show that our proposed measures have strong predictive power on stock comovement. We believe the proposed approach enriches the methodology toolbox of IS researchers in studying interfirm relationships.


2018 ◽  
Vol 25 (3) ◽  
pp. 285-292 ◽  
Author(s):  
Arianna Rigon ◽  
Melissa C. Duff ◽  
Janelle Beadle

AbstractObjectives:Although individuals with traumatic brain injury (TBI) often report higher levels of social isolation, little is known about the factors influencing their self-perception of loneliness. The aim of the current study was to investigate the relationship between loneliness, social network size, and personality variables (neuroticism and extraversion) after TBI, and in particular whether specific personality variables mediate the relationship between social network size and perception of loneliness.Methods:Here, we assessed self-reported loneliness, personality variables, and social network size of 24 individuals with moderate-to-severe TBI and 41 healthy comparison participants. We then carried out a mediation analysis to examine whether personality variables mediated the relationship between loneliness and social network size.Results:Our results indicate that individuals with TBI reported higher levels of loneliness and neuroticism, but there was no group difference in social network size or extraversion. The mediation analysis revealed that the association between social network size and loneliness was mediated by neuroticism, but not by extraversion.Conclusions:Our findings show that neuroticism is an intervening variable in the relationship between social network size and self-perception of loneliness in individuals with moderate-to-severe TBI, and presents a new possible target for clinicians and rehabilitators seeking to address reports of loneliness and social isolation in TBI. (JINS2019,25, 266–274)


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