Seed journal citation network maps: A method based on network theory

Medina, Clara Maria Calero; Leeuwen, Thed N. van

doi:10.1002/asi.22631

Cited by 28 publications

(13 citation statements)

References 42 publications

(48 reference statements)

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“…Among the different bibliometric methods, this paper adopts the science mapping, which allow for mapping the cognitive structure and evolution of scientific fields and disciplines (Noyons et al 1999) producing a spatial representation of them (Calero Medina and Leeuwen 2012;Small 1999). Based on the citation index, the most important papers on customer loyalty and brand management have been identified and analyzed to display the structural and dynamic aspects of scientific research (Börner et al 2003;Morris and Van der Veer Martens 2008).…”

Section: Introductionmentioning

confidence: 99%

A Systematic Mapping Study on Customer Loyalty and Brand Management

Tartaglione

Cavacece

Russo

et al. 2019

Administrative Sciences

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Customer loyalty is a topic of great interest for marketing scholars due to its importance in gaining sustainable competitive advantages and financial outcomes. Literature is prolific of works regarding customer loyalty and brand management. In order to improve the quantity and quality of research publications, research themes mapping of published studies is required. The aim of this paper is to provide scholars with a systematization and mapping of the contributions on this topic to develop an effective research road map for future research. A bibliometric analysis and a mapping study have been conducted on 337 publications on customer loyalty and brand management from 2000 to 2018. The results present the most cited works on the topic, an evaluation map showing the most frequent and cited words and six clusters of words based on their co-occurrence. From the analysis of the clusters, the most relevant research findings, trends, and issues emerge, suggesting interesting theoretical and practical implications.

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Section: Introductionmentioning

confidence: 99%

A Systematic Mapping Study on Customer Loyalty and Brand Management

Tartaglione

Cavacece

Russo

et al. 2019

Administrative Sciences

View full text Add to dashboard Cite

show abstract

“…However, in this case, the adjacency matrix is quite dense, and the network representation is difficult to read (Ghoniem, Fekete, & Castagliola, ). A representation with the 25% strongest citation links with a spring embedder as layout (Butts, ), as in Calero Medina and van Leeuwen (), is available as Figure 4 at http://www3.uji.es/~epifanio/RESEARCH/asyhplot.rar.…”

Section: Resultsmentioning

confidence: 99%

Mapping the asymmetrical citation relationships between journals by h‐plots

Epifanio

2014

Asso for Info Science & Tech

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Versión / Versió:Versió pre-print AbstractI 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 their 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 hplot, compared with other statistical techniques for modelling and representing asymmetric data, such as multidimensional unfolding.

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“…The first step in the proposed method is to identify a small number of key, or "seed," articles on which citation relationships can subsequently be based. Starting with a set of key articles echoes the use of training sets for machine learning techniques and has been proposed for bibliometric tasks in a variety of contexts, such as identifying journal relationships (Medina & van Leeuwen, 2012), for author name disambiguation (Reijnhoudt, Costas, Noyons, Börner, & Scharnhorst, 2014), and information retrieval (Glänzel, 2015). How many key articles are necessary for the proposed method to work is an open question.…”

Section: Description Of the Proposed Methodsmentioning

confidence: 99%

Citation analysis as a literature search method for systematic reviews

Belter

2015

Asso for Info Science & Tech

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Systematic reviews are essential for evaluating biomedical treatment options, but the growing size and complexity of the available biomedical literature combined with the rigor of the systematic review method mean that systematic reviews are extremely difficult and labor‐intensive to perform. In this article, I propose a method of searching the literature by systematically mining the various types of citation relationships between articles. I then test the method by comparing its precision and recall to that of 14 published systematic reviews. The method successfully retrieved 74% of the studies included in these reviews and 90% of the studies it could reasonably be expected to retrieve. The method also retrieved fewer than half of the total number of publications retrieved by these reviews and can be performed in substantially less time. This suggests that the proposed method offers a promising complement to traditional text‐based methods of literature identification and retrieval for systematic reviews.

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Seed journal citation network maps: A method based on network theory

Cited by 28 publications

References 42 publications

A Systematic Mapping Study on Customer Loyalty and Brand Management

A Systematic Mapping Study on Customer Loyalty and Brand Management

Mapping the asymmetrical citation relationships between journals by h‐plots

Citation analysis as a literature search method for systematic reviews

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