186,987 research outputs found
Generalized Fitch Graphs III: Symmetrized Fitch maps and Sets of Symmetric Binary Relations that are explained by Unrooted Edge-labeled Trees
No full textBinary relations derived from labeled rooted trees play an import role in
mathematical biology as formal models of evolutionary relationships. The
(symmetrized) Fitch relation formalizes xenology as the pairs of genes
separated by at least one horizontal transfer event. As a natural
generalization, we consider symmetrized Fitch maps, that is, symmetric maps
that assign a subset of colors to each pair of vertices in
and that can be explained by a tree with edges that are labeled with
subsets of colors in the sense that the color appears in
if and only if appears in a label along the unique path between and
in . We first give an alternative characterization of the monochromatic case
and then give a characterization of symmetrized Fitch maps in terms of
compatibility of a certain set of quartets. We show that recognition of
symmetrized Fitch maps is NP-complete. In the restricted case where
the problem becomes polynomial, since such maps
coincide with class of monochromatic Fitch maps whose graph-representations
form precisely the class of complete multi-partite graphs
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
- …
