Mapping the backbone of science

Boyack, Kevin W.; Klavans, Richard; Börner, Katy

doi:10.1007/s11192-005-0255-6

Cited by 747 publications

(602 citation statements)

References 41 publications

(37 reference statements)

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“…In contrast, Leydesdorff (2004aLeydesdorff ( , 2004b classified world science using the graph-analytical algorithm of biconnected components in combination with JCR 2001. Boyack, Klavans, and Börner (2005) applied eight alternative measures of journal similarity to a dataset of 7,121 journals covering over 1 million documents in the combined Science Citation and Social Science Citation Indexes, to show the first global map of science using the force-directed graph layout tool VxOrd. Samoylenko Chao, Liu, and Chen (2006) proposed an approach through the construction of minimum spanning trees of scientific journals, using the Science Citation Index from 1994 to 2001.…”

Section: Related Workmentioning

confidence: 99%

Visualizing the marrow of science

Anegón

Vargas-Quesada

Chinchilla‐Rodríguez

et al. 2007

J. Am. Soc. Inf. Sci.

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Section: Related Workmentioning

confidence: 99%

Visualizing the marrow of science

Anegón

Vargas-Quesada

Chinchilla‐Rodríguez

et al. 2007

J. Am. Soc. Inf. Sci.

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“…To this end, we represent topics and their relationships in a certain time frame as a graph in which nodes are topics and edges represent their cooccurrences in a sample of publications. This is a common representation for investigating topic dynamics (Boyack, Klavans & Börner, 2005;Leydesdorff, 2007;Newman, 2001). In the following we will refer to it as topic graph or topic network.…”

Section: Methodsmentioning

confidence: 99%

How are topics born? Understanding the research dynamics preceding the emergence of new areas

Salatino

Osborne

Motta

2017

PeerJ Computer Science

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The ability to promptly recognise new research trends is strategic for many stakeholders, including universities, institutional funding bodies, academic publishers and companies. While the literature describes several approaches which aim to identify the emergence of new research topics early in their lifecycle, these rely on the assumption that the topic in question is already associated with a number of publications and consistently referred to by a community of researchers. Hence, detecting the emergence of a new research area at an embryonic stage, i.e., before the topic has been consistently labelled by a community of researchers and associated with a number of publications, is still an open challenge. In this paper, we begin to address this challenge by performing a study of the dynamics preceding the creation of new topics. This study indicates that the emergence of a new topic is anticipated by a significant increase in the pace of collaboration between relevant research areas, which can be seen as the 'parents' of the new topic. These initial findings (i) confirm our hypothesis that it is possible in principle to detect the emergence of a new topic at the embryonic stage, (ii) provide new empirical evidence supporting relevant theories in Philosophy of Science, and also (iii) suggest that new topics tend to emerge in an environment in which weakly interconnected research areas begin to cross-fertilise.

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“…Apart from citation relationship, co-word analysis method has been developed and utilized for co-author relationship and keyword relationship analyses (Liu, Hu, and Wang 2012). Small and Garfield (1985) developed the global map of science based on the co-citation analysis in SCIE and SSCI database, and scholars have worked on the knowledge organization analysis in disciplines based on the map of science (Boyack, Klavans and Börner 2005).…”

Section: Literature Reviewmentioning

confidence: 99%