for data mining to look for international, temporal or disciplinary differences. For example, one study showed that articles tended to be read more often by people from the same country as the authors ( Thelwall & Maflahi, 2015 ).
Large scale altmetric data can be used to assess the validity of specific altmetrics (altmetric) by investigating the extent to which the altmetric correlates with citation counts ( Sud & Thelwall, 2014 ). Although some correlations of this type have already been calculated, it is important to calculate more correlations for different
Research Council (UK), and the Library and Information Commission (UK). Dr. Chen has designed and developed the widely used visual analytics software CiteSpace for visualizing and analyzing structural and temporal patterns in scientific literature.
Science mapping is a generic process of domain analysis and visualization. The scope of a science mapping study can be a scientific discipline, a field of research, or topic areas concerning specific research questions. In other words, the unit of analysis in science mapping is a domain of
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Jon Garner, Alan L. Porter, Andreas Leidolf and Michelle Baker
subjects (and for the comparison groups)
Group—benchmarking iUTAH results against two suitable comparison groups.
For the temporal comparisons, we used 2010–2012 as the Before period and 2014–2016 as After. We set aside 2013 as ambiguous with respect to research publications that are apt to reflect participation in the iUTAH project.
Lacking a randomly assigned control group equivalent to iUTAH researchers, we worked to develop reasonable “comparison groups.” Our first comparison group consisted of participants in two Utah-based university centers comparable in
network is known as link prediction ( Liben-Nowell & Kleinberg, 2007 ).
We may distinguish between two types of link prediction applications ( Guns, 2014 ) that have sometimes been confounded in the literature:
Network evolution prediction, and
Network evolution prediction ( Liben-Nowell & Kleinberg, 2007 ) concerns the situation where one is given a temporal snapshot of an evolving network. The task is to predict a future state of the network. Network reconstruction ( Guimerà & Sales-Pardo, 2009 ), on the other hand, concerns the
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biological sciences and less linked to chemistry? The basemaps appear to evolve slowly as shown by the fact that the underlying 2010 and 2015 citation matrices among WCs are very similar (QAP correlation r = 0.937; p < 0.001) in spite of considerable changes in WoS journal inclusion over that period. This justifies their use for overlays over a certain temporal range.
In stepping through the case analyses, we have pointed to a variety of appealing applications for the science overlay mapping. We believe the enhanced clustering of the WCs, improved visualization
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