Sentence examples for relationships strength from inspiring English sources

Exact(2)

Those nine points include: Experience, performance, communication, price, firm size, workload, relationships, strength rank and analytics.

But when it comes to discussion as to whether these protests should be considered as a social movement, it is necessary to have a closer look at the regional project opponents, their action orientations, relationships, strength, and the structure of the relevant fields.

Similar(58)

Functionality includes automated contact syncing, relationship strength scoring, contact following, account following and more.

Description: Trellis is building a self-generating, constantly updated professional network by analyzing tens of millions of emails to graph relationship strength and expertise across a network.

The heterogeneous network increases the complexity of fusion process but decrease the data correlation coefficient that is used to examine the relationship strength between sensory data, both of them will consume the energy resources additionally [5].

In tree-based approaches, genes appear as leaves connected by branches, where branch height corresponds to some measure of relationship strength.

The distinctive, individual properties of real biological modules generally imply that there is no universal 'signature' that would enable module detection based on thresholding relationship strength or, by extension, some related summary measure.

Third, we predict that there will be an effect of relationship strength on the tendency of the relationship to decay (H3).

We used three criteria for relationship strength: being in the inner layer of the personal network, genetic relatedness for kin, and time known for friends.

These data were used to construct a matrix of grooming relationship strength by scoring the strongest dyadic grooming relationship in each group as a 1 and weighting all other dyadic relationships relative to this strongest bond.

These stimuli represent a hierarchy of activation that can differentiate hemispheric patterns of activation with respect to the interaction between relationship strength and time-course of semantic activation [e.g., [ 16, 18]].

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