2019
DOI: 10.1371/journal.pone.0218607
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Perception accuracy, biases and path dependency in longitudinal social networks

Abstract: Most studies on perceptions of social structures in organizations rely on cross-sectional evidence and lack a longitudinal perspective. In order to address this gap, we collected whole network perception data at three time points from a cohort of MBA students. First, we asked whether or not individuals become more accurate in their perception of the network over time. We found no significant increase in accuracy. Second, we examined one’s perception of his or her own direct ties and found a consistent tendency… Show more

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Cited by 7 publications
(3 citation statements)
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“…To increase the width and depth of the network, the Inception [ 12 ] network added in this research can keep the computational cost basically unchanged. There are many more convolution kernels and convolution pools of different sizes between input and output, and multiple Inceptions can be merged together, which greatly increases the depth and width.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To increase the width and depth of the network, the Inception [ 12 ] network added in this research can keep the computational cost basically unchanged. There are many more convolution kernels and convolution pools of different sizes between input and output, and multiple Inceptions can be merged together, which greatly increases the depth and width.…”
Section: Methodsmentioning
confidence: 99%
“…To increase the width and depth of the network, the Inception [12] network added in this research can keep the computational cost basically unchanged.…”
Section: Pulmonary Nodule Segmentation Algorithm Based On Improved U-netmentioning
confidence: 99%
“…Individual behavioural limits and cognitive inaccuracies (e.g. Ertan et al., 2019) can be compensated at the team or organization level if a team has sufficient specialization and the maintenance of relationships is divided over the team members (Aven & Hillmann, 2018). Yet, in contrast, with limited specialization, all team members have to deal with the same actors and are prone to experience relational and cognitive lock‐in (Maurer & Ebers, 2006).…”
Section: Conditions Of Network Mechanismsmentioning
confidence: 99%