Sentence examples for influence indicators from inspiring English sources

The science exists to model those flows and to give strong descriptive influence indicators on people's influence in topics.

It can be used to find the popularity of politicians prior to election etc. Influence analysis is performed in Nguyen et al. (2015) while Rabade et al. (2014) has discussed different influence indicators.

Explanatory variables included the variables reflecting individual lifestyles (i.e. CRF and PA), parents' lifestyle indicators (i.e. smoking status and PA), and inheritable influence indicators (i.e. family history, parental BMI).

Our model conceptualizes social environments as social, economic, and political relationships at the local level, for example, workplace conditions, citizen engagement and influence, indicators of community investment, and municipal supports such as street maintenance and the capacity and cultural competence of the police force.

The composition of fine particulate matter in urban settings has been shown to be higher in elemental carbon (EC) content [ 54], an indicator of diesel exhaust [ 60] that has been shown to adversely influence indicators of respiratory capacity in the general population [ 61] and in asthmatics [ 62].

Although passivity seems a good influence indicator, this work ignored other important relation such as reply.

Korn and Muthukrishnan [9] propose reverse nearest neighbor as influence indicator to measure top k most influencial web sets.

end{aligned}The mass of the retweet relation is more important than the others, because we consider that it is a better influence indicator than the other relations.

end{aligned}The most important masses is given to the retweet relation, because we believe that this relation is a better influence indicator, the follow relation is given the less important belief masses as this indicator gives the popularity of a user, so we use the "popularity" as an influence indicator but we do not give it a very important belief mass.

This study confirms that physical properties (e.g., lake or habitat type) can influence indicator models; however, weaknesses may be overcome by robust calibration techniques.

This study showed that data quality can significantly influence indicator results, and that our routinely recorded EMR data was not suitable to reliably compute quality indicators.