A new bibliographic coupling measure with descriptive capability

Liu, Rey-Long

doi:10.1007/s11192-016-2196-7

Cited by 17 publications

(20 citation statements)

References 29 publications

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“…BC was also a typical citation-based similarity measure that was integrated with content-based similarity measures by hybrid measures [12][13][14][15]. The hybrid measures did not always perform significantly better than BC [12], and they even performed significantly worse on occasion [16]. Equation (1) is a typical way to estimate BC similarity between two articles, a1 and a2 [12], where O a1 and O a2 are the sets of articles that a1 and a2 cite respectively.…”

Section: Citation-based Similarity Measuresmentioning

confidence: 99%

“…BC has a weakness in dealing with two articles that are related but cite different references, and hence, the similarity measure, DescriptiveBC, was proposed to employ titles of the references to tackle the weakness [16], as different but related references may share certain key terms in their titles. As defined in Equation (2), Jaccard index is employed to estimate similarity between titles of two references r1 and r2 (where Title(r) is the set of terms in the title of a reference r), and the DescriptiveBC similarity between two articles a1 and a2 is defined in Equation (3), where R a is the set of references in article a.…”

Section: Citation-based Similarity Measuresmentioning

confidence: 99%

“…Two clustering systems that work on references employ bibliographic coupling (BC, see Equation (1)) and DescriptiveBC (see Equation (3)) as their similarity measures. As noted in Section 2.1, BC is a typical measure that performed well in the retrieval and clustering of scholarly articles [13,16]. DescriptiveBC employed titles of the references to improve BC [16].…”

Section: Underlying Systems For Overlapping Clusteringmentioning

confidence: 99%

“…As noted in Section 2.1, BC is a typical measure that performed well in the retrieval and clustering of scholarly articles [13,16]. DescriptiveBC employed titles of the references to improve BC [16].…”

Section: Underlying Systems For Overlapping Clusteringmentioning

confidence: 99%

“…Equation (15) is then employed to estimate how an article a2 is similar to a1 based on the rank of a2 in the ranked list (i.e., RankSim(a1, a2), see Equation (15)). PMS between two articles a1 and a2 is simply the average of RankSim(a1, a2) and RankSim(a2, a1), as defined in Equation (16).…”

Section: Underlying Systems For Overlapping Clusteringmentioning

confidence: 99%

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Issue-Based Clustering of Scholarly Articles

Liu

Hsu

2018

Applied Sciences

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Featured Application: The technique presented in the paper can be used to build an issue-based clustering system, which is essential for exploration and curation of research issues and their findings reported in scientific literature. Abstract:A scholarly article often discusses multiple research issues. The clustering of scholarly articles based on research issues can facilitate analyses of related articles on specific issues in scientific literature. It is a task of overlapping clustering, as an article may discuss multiple issues, and hence, be clustered into multiple clusters. Clustering is challenging, as it is difficult to identify the research issues with which to cluster the articles. In this paper, we propose the use of the titles of the references cited by the articles to tackle the challenge, based on the hypothesis that such information may indicate the research issues discussed in the article. A technique referred to as ICRT (Issue-based Clustering with Reference Titles) was thus developed. ICRT works as a post-processor for various clustering systems. In experiments on those articles that domain experts have selected to annotate research issues about specific entity associations, ICRT works with various clustering systems that employ state-of-the-art similarity measures for scholarly articles. ICRT successfully improves these systems by identifying clusters of articles with the same research focuses on specific entity associations. The contribution is of technical and practical significance to the exploration of research issues reported in scientific literature (supporting the curation of entity associations found in the literature).

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Section: Citation-based Similarity Measuresmentioning

confidence: 99%

Section: Citation-based Similarity Measuresmentioning

confidence: 99%

Section: Underlying Systems For Overlapping Clusteringmentioning

confidence: 99%

Section: Underlying Systems For Overlapping Clusteringmentioning

confidence: 99%

Section: Underlying Systems For Overlapping Clusteringmentioning

confidence: 99%

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Issue-Based Clustering of Scholarly Articles

Liu

Hsu

2018

Applied Sciences

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Trends and patterns in ESG research: A bibliometric odyssey and research agenda

De Falco,

Montera,

Leo

et al. 2024

Corp Soc Responsibility Env

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The paper provides a detailed analysis of the ESG literature with the aim of bringing clarity to this area of research and proposing a research agenda. An overview of the development of the literature on ESG pillars is offered through a review of 903 peer‐reviewed articles. The paper identifies four thematic clusters: impacts of ESG disclosure and practices, sustainability, accounting, and responsible investments. The main research streams and sub‐streams for each cluster are discussed, highlighting the most frequent theoretical perspectives and methodologies. Furthermore, the evolution of ESG research across time is delineated. The paper also identifies future research directions within each cluster to advance knowledge, and proposes an integrative framework based on focal themes and their reciprocal connections.

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