Preference learning is an emerging topic that appears in different guises in the recent literature.
This is an emerging topic, that is increasingly considered as useful to conceptualize technological change in its interplay between tradition and innovation (Borri et al. 2010).
Although uncertainty analysis has been a subject of increased interest by the water resources community during the last couple of decades, in estuarine hydrodynamic modeling this is an emerging topic that requires more research.
Regulating mitochondrial dynamics is a new and emerging topic that may provide new targets for therapy.
Text mining is an emerging topic that advances the review of academic literature.
Two large scale models of the scientific literature, one based on direct citation, and the other based on co-citation, are combined to nominate emerging topics using a difference function that rewards clusters that are new and growing rapidly.
Analysis occurred concurrently with data collection so that emerging topics could be explored in later interviews.
Each document is derived by a local ranking of words that reorganizes according to the changing word frequencies as the document grows, and different documents are related by sharing subsets of these rankings that represent emerging topics.
In our model, each document is derived by a local ranking of dynamically reordered words, and different documents are related by sharing subsets of these rankings that represent emerging topics.
Analysis was performed alongside data collection so that any emerging topics could be discussed in the subsequent interviews [ 24].
