A content-based citation analysis study based on text categorization

Taşkın, Zehra; Al, Umut

doi:10.1007/s11192-017-2560-2

Cited by 50 publications

(34 citation statements)

References 43 publications

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“…When it comes to the frequency of incidents by document, the first result that draws our attention is the fact that more than half of the citing works include only one reference to the work of Chatman (IPT 64.4%,). This result is consistent with similar works (Taskin, 2017 ). However, this fact -coupled with a minimal increase in average incidents per article throughout the period -does not reveal any essential contribution to the works concerned.…”

Section: Discussionsupporting

confidence: 92%

The influence of Elfreda Chatman’s theories: a citation context analysis

González‐Teruel

Abad-García

2018

Scientometrics

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The range of theoretical frameworks currently being used by researchers into information behaviour is abundant and diverse. We need to examine thoroughly the contribution of theories and models to further research, as this would help to improve future investigations in the field. This paper adopts this approach, by thoroughly examining the influence that Elfreda Chatman's three middle-range theories have had on subsequent research. A citation context analysis was carried out on the basis of those received by Information poverty theory, Life in the round theory and Normative behaviour theory. Analysis covered the year of publication, the type of work and the subject-matter of the citing documents. The cites in context or theoretical incidents were analysed for frequency of citation in citing documents, the content of Chatman's work being cited, the context co-citation analysis, the citation style and the citation location. The analysis of citation in context has allowed us to draw a distinction between the author and her work, while verifying that not all cites are the same. These differences reflect the unequal relevance of these theories to subsequent research.

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Section: Discussionsupporting

confidence: 92%

The influence of Elfreda Chatman’s theories: a citation context analysis

González‐Teruel

Abad-García

2018

Scientometrics

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“…However, we experimented the approach on all the papers. This experiment can be reproduced online by means of BIBLME RecSys' 9 . and which correspond respectively to the value attributed to the coarse granularity factor and the ne granularity factor have been set alternatively at the highest value (0.8 10 ).…”

Section: Methodsmentioning

confidence: 99%

“…Later with recent developments in computing and information services, machine-learning techniques such as NLP have been implemented allowing partially to automate processes on large scale. Recently, CCA has been used for various applications such as citation recommendation systems [12], sentiment analysis applied to the context of the citations [13], citation categorization [9] and citation summarization [11]. Despite the endeavors research on CCA [6,10], there is still no automatic content-based approach which allows to understand to what extent the writing of a paper is based on other papers.…”

mentioning

confidence: 99%

Measuring the Centrality of the References in Scientific Papers

Ollagnier

Fournier

Bellot

2018

Proceedings of the ACM Symposium on Document Engineering 2018

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Citation analysis is considered as major and one of the most popular branches of bibliometrics. Citation analysis is based on the assumption that all citations have similar values and weights each equally. Specic research elds like content-based citation analysis (CCA) seeks to explain the "how" and "why" of citation behavior. In this paper we tackle to explain the "how" from a centrality indicator based on factors which are built automatically according to the authors' citation behavior. This indicator allows to evaluate bibliographical references' importance for reading the paper with which user interacts. From objective quantitative measurements, factors are computed in order to characterize the level of granularity where citations are used. By the setting of the centrality indicator's factors we can highlight citations which tend towards a partial or a global construction of the authors' discourse. We carry out a pilot study in which we test our approach on some papers and discuss the challenges in carrying out the citation analysis in this context. Our results show interesting and consistent correlations between the level of granularity and the signicance of citation inuences.

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“…Citation context rhetorics have been explored widely in the literature. All these approaches have initated se-mantic analysis using popular similarity metrics like cosine similarity [17] [18].…”

Section: Related Workmentioning

confidence: 99%

On the Expressive Power of Scientific Manuscripts

Mahalakshmi

Siva²,

Sendhilkumar

2021

IEEE Trans. Emerg. Topics Comput.

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Every research manuscript is appreciated in the form of citations. Citations are expected to carry the essence of the underlying base paper by some rhetorical means. However, this is not true in reality. Citation manipulations are equally possible which shall be identified using research semantics. This paper discusses machine learning based approaches for analyzing research citations with the aim of finding quality research citations. On analyzing the semantics of the research manuscript and the respective citations, this paper proposes various metrics for citation quality analysis including deep cite, raw expressive power, expressive power and normalized expressive power.

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A content-based citation analysis study based on text categorization

Cited by 50 publications

References 43 publications

The influence of Elfreda Chatman’s theories: a citation context analysis

The influence of Elfreda Chatman’s theories: a citation context analysis

Measuring the Centrality of the References in Scientific Papers

On the Expressive Power of Scientific Manuscripts

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