Content Analysis and the Measurement of Meaning: The Visualization of Frames in Collections of Messages

Vlieger, Esther; Leydesdorff, Loet

doi:10.37693/pjos.2011.3.8830

Cited by 29 publications

(26 citation statements)

References 45 publications

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“…Figure , for example, shows the title‐word maps of Personalized Medicine for 2011 and 2013 . We used the words that occurred more than twice (after correction for stopwords), and using cosine values above .2 (Vlieger & Leydesdorff, ); VOSviewer is used for the clustering and mapping (Waltman et al., ). In 2013, “genetic” and “testing” have become the two central concepts in respective groupings of words.…”

Section: Resultsmentioning

confidence: 99%

Can “hot spots” in the sciences be mapped using the dynamics of aggregated journal–journal citation Relations?

Leydesdorff

Nooy

2016

Asso for Info Science & Tech

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transitions in 2012 (between 2011 and 2013) were studied using methodologies based on entropy statistics. Changes can be indicated at the level of journals using the margin totals of entropy production along the row or column vectors, but also at the level of links among journals by importing the transition matrices into network analysis and visualization programs (and using community-finding algorithms). Seventy-four journals were flagged in terms of discontinuous changes in their citations, but 3,114 journals were involved in "hot" links. Most of these links are embedded in a main component; 78 clusters (containing 172 journals) were flagged as potential "hot spots" emerging at the network level. An additional finding was that PLoS ONE introduced a new communication dynamic into the database. The limitations of the methodology were elaborated using an example. The results of the study indicate where developments in the citation dynamics can be considered as significantly unexpected. This can be used as heuristic information, but what a "hot spot" in terms of the entropy statistics of aggregated citation relations means substantively can be expected to vary from case to case.

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Section: Resultsmentioning

confidence: 99%

Can “hot spots” in the sciences be mapped using the dynamics of aggregated journal–journal citation Relations?

Leydesdorff

Nooy

2016

Asso for Info Science & Tech

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“…The open routine ti.exe (http://www.leydesdorff.net/software/ti) can then be used to construct matrices of words versus documents that can be converted into both relational co‐occurrence matrices and cosine‐normalized matrices (Salton & McGill, ). The resulting cosine‐matrices were visualized with Pajek (Kamada & Kawai, ; Vlieger & Leydesdorff, ).…”

Section: Methodsmentioning

confidence: 99%

The construction of interdisciplinarity: The development of the knowledge base and programmatic focus of the journal Climatic Change, 1977–2013

Hellsten

Leydesdorff

2015

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Climate change as a complex physical and social issue has gained increasing attention in the natural as well as the social sciences. Climate change research has become more interdisciplinary and even transdisciplinary as a typical Mode‐2 science that is also dependent on an application context for its further development. We propose to approach interdisciplinarity as a co‐construction of the knowledge base in the reference patterns and the programmatic focus in the editorials in the core journal of the climate‐change sciences—Climatic Change—during the period 1977–2013. First, we analyze the knowledge base of the journal and map journal–journal relations on the basis of the references in the articles. Second, we follow the development of the programmatic focus by analyzing the semantics in the editorials. We argue that interdisciplinarity is a result of the co‐construction between different agendas: The selection of publications into the knowledge base of the journal, and the adjustment of the programmatic focus to the political context in the editorials. Our results show a widening of the knowledge base from referencing the multidisciplinary journals Nature and Science to citing journals from specialist fields. The programmatic focus follows policy‐oriented issues and incorporates public metaphors.

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“…The open routine ti.exe (http://www.leydesdorff.net/software/ti) can then be used to construct matrices of words versus documents that can be converted into both relational co-occurrence matrices and cosine-normalized matrices (Salton & McGill, 1983). The resulting cosine-matrices were visualized with Pajek (Kamada & Kawai, 1989;Vlieger & Leydesdorff, 2011).…”

Section: Methodsmentioning

confidence: 99%

The Construction of Interdisciplinarity: The Development of the Knowledge Base and Programmatic Focus of the Journal Climatic Change, 1977-2013

Hellsten

Leydesdorff

2014

SSRN Journal

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Content Analysis and the Measurement of Meaning: The Visualization of Frames in Collections of Messages

Cited by 29 publications

References 45 publications

Can “hot spots” in the sciences be mapped using the dynamics of aggregated journal–journal citation Relations?

Can “hot spots” in the sciences be mapped using the dynamics of aggregated journal–journal citation Relations?

The construction of interdisciplinarity: The development of the knowledge base and programmatic focus of the journal Climatic Change, 1977–2013

The Construction of Interdisciplinarity: The Development of the Knowledge Base and Programmatic Focus of the Journal Climatic Change, 1977-2013

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