Sentence examples for network outcomes from inspiring English sources

They were evaluated using a random subset of verbal fluency tests and comparing the network outcomes (linked pairs are clustering transitions and disconnected pairs are switching transitions) to the outcomes of two expert human raters.

The findings highlight the importance of examining network outcomes in evaluating social and health interventions, the role of social selection in managing social influence, and the potential of using network methods to design more effective interventions.

Only by understanding the motives behind the creation of inter-organizational networks are we able to fully grasp network outcomes and, based on this, derive recommendations for firms and policy makers regarding strategies on how to influence the creation of an effective network (Ahuja et al. 2012; Stuart and Sorenson 2007).

Poll results vary from network to network, outcomes skewed to appeal to the sensibilities of their respective audiences (sense having long ago been jettisoned as a sensibility in order to make room for consumer preference), providing niche realities rather than one, immutable, mutually agreed-upon actuality.

Some network parameters measured by SNA, used to describe the network's functioning, have been shown to affect network outcomes.

This study forms part of a more extensive study looking at network structure and key players and their effect on network outcomes [ 13- 15].

This is the most important, most desirable network outcome in my view".

It has been reported that different CBL proteins interact with different CIPK proteins and the specificity of this interaction determines the network outcome [ 9, 16].

Network parameters related to the maximal activation of JNK, which was identified to be the most influential on AP-1 activity via global sensitivity analysis, is consistently the key indicator of AP-1 netwoutcomecoutcome

We studied the role of significant and functionally important single-nucleotide polymorphisms (SNPs) in these genes, published independently from our research group, through combined interaction with an additional analysis of the in silico network outcome, to understand how these impact the susceptibility towards the disease, leprosy.

Empirical tests of the relationship between aggregate network-level outcomes and network statistics involve estimating specifications such as Eq. 17.