Optimizing SCImago Journal & Country Rank classification by community detection

The study of subject-classification based on journal coupling and expert subject-classification system

“…Methods using the classical clustering analysis, for instance, hierarchical clustering (Zhang et al 2010(Zhang et al , 2012Braam et al 1991;Kronegger et al 2013;Ahlgren and Colliander 2009), minimum spanning tree (Chang and Chen 2011), etc. The last one are methods belonging to the clustering of social network in graph theory (Chen et al 2010;Qiu and Liu 2014;Waltman and Van Eck 2012;Leydesdorff and Rafols 2012;Börner et al2012;Gómez-Núñez et al 2014).Clustering methods based on multivariate statistical theory take the node pair which has citation behavior as the variable and case respectively, then clustering the cases with same characteristics using the idea of projection, but there is no definite standard on the division of clusters, this is also true when it comes to the choosing of cluster number, and the results of such methods can hardly form a clear hierarchical subject-classification system. The graph theory based clustering methods (such as, community detection) take the cross-citation network as a whole, and the similarity measure used in these methods are some kind that beyond one-step measure in a network.…”

“…Co-citation was firstly used in the measurement of similarity among articles in the cross-citation network, then further been introduced to study journal co-citation relationship (Chen et al 2010) and author co-citation relationship (Braam et al 1991, Rousseau andZuccala 2004). Gómez-Núñez et al (2014, 2015 also proposed to use a weighted combination of both the bibliographic coupling, cross-citation and direct citation as the similarity measure when performing the journal based subject-classification study.…”

“…Along with the development of network study and visualization technology, many researches combing journal-journal citation (Leydesdorff and Rafols 2012) network classification or network classification based on journal similarity matrix (Börner et al 2012)with network visualization in the construction of subjectclassification map. Then, some network classification, like community detection algorithms: VOS Clustering and Louvain Method, based on journal cross-citation relationship were applied to the quantitative construction of subject-classification (Gómez-Núñez et al 2014).…”

Medical scientific output and specialization in Latin American countries

“…The journals are assigned to one or more categories, and the articles published in them inherit that category, so to speak. Serious problems with this type of study can derive from the overlap of subject categories caused by multiple assignment, or high concentrations of journals produced in certain subject categories (Gómez-Núñez et al 2014). The fact that the categorization we utilized can be replicated in any scenario makes it better positioned to overcome such limitations.…”

Agriculture vs. social sciences: subject classification and sociological conceptualization of rural tourism in Scopus and Web of Science

“…Namely, literature needs to be organized through consistent classification schemes as these are also used in science policy design and science evalu-ation processes (Gómez-Núñez et al, 2014). The insight into the publication practices in scientific disciplines or broader research fields such as agriculture and social sciences thus also has implications in national research evaluation which is in the Slovenian national Current Research Information System (SICRIS) based on links to both Scopus as well as Web of Science (Bartol et al, 2014).…”