Epifanio, I.: Mapping the asymmetrical citation relationships between journals by h-plots (2014)
0.01
0.010937216 = product of:
0.021874432 = sum of:
0.021874432 = product of:
0.043748863 = sum of:
0.043748863 = weight(_text_:h in 1294) [ClassicSimilarity], result of:
0.043748863 = score(doc=1294,freq=8.0), product of:
0.113842286 = queryWeight, product of:
2.4844491 = idf(docFreq=10020, maxDocs=44218)
0.045821942 = queryNorm
0.38429362 = fieldWeight in 1294, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
2.4844491 = idf(docFreq=10020, maxDocs=44218)
0.0546875 = fieldNorm(doc=1294)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- I propose the use of h-plots for visualizing the asymmetric relationships between the citing and cited profiles of journals in a common map. With this exploratory tool, we can understand better the journal's dual roles of citing and being cited in a reference network. The h-plot is introduced and its use is validated with a set of 25 journals belonging to the statistics area. The relatedness factor is considered for describing the relations of citations from a journal "i" to a journal "j," and the citations from the journal "j" to the journal "i." More information has been extracted from the h-plot, compared with other statistical techniques for modelling and representing asymmetric data, such as multidimensional unfolding.
