Comparative study on methods of detecting research fronts using different types of citation

By Naoki Shibata, Yuya Kajikawa, Yoshiyuki Takeda, Katsumori Matsushima. 2009

1,078 citations recorded by the source corpus.

Subfields: Information Systems, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/dbc5fc7c0ed6454a15fe0f6494344c71658e3405

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In Information Systems

In Statistical and Nonlinear Physics

In Statistics and Probability

Citations in the corpus

Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? (2010, neutral): “Shibata et al. (2009) compared cluster solutions from direct citation, bibliographic coupling, and co-citation clustering on three data sets ranging in size from 3,510 to 23,459 articles, using within-set links only.”
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task (2017, methodology): “The models used to characterize style are often linear classifiers with style features such as character and word n-grams (Stamatatos, 2009; Koppel et al., 2009).”
Multi-Dimensional Gender Bias Classification (2020, background): “, 2016), or extracting a stylistic fingerprint from text that enables the author to be identified (Stamatatos et al., 1999; Luyckx and Daelemans, 2008; Argamon et al., 2009; Stamatatos, 2009; Raghavan et al., 2010; Cheng et al., 2011; Stamatatos, 2017).”
Stylometric Analysis of Parliamentary Speeches: Gender Dimension (2017, background): “However, Delta depends on z-scores, number of documents and balance of terms in documents, length and number of authors (Stamatatos, 2009).”
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints (2018, neutral): “Similar to the authorship attribution task in natural language processing [56, 8], we train an attribution classifier that can predict the source of an image: real or from a GAN model.”
Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images (2018, background): “Similar to author attribution in NLP, we seek an identification network that is able to identify the origin of a synthesized fake image, which is proposed in subsection 3.1.”
Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework (2021, background): “Especially in authorship attribution, recurring style features include character n-grams, punctuation, average word length or function word frequency (Neal et al., 2017; Grieve, 2007; Stamatatos, 2009).”
Bias in peer review (2013, neutral): “Others worry that nationality bias may reflect prose quality and not nationality per se (Cronin, 2009).”
Function Words for Chinese Authorship Attribution (2012, methodology): “Various function word lists have been used in AA tasks in English, and the selection process usually follows arbitrary criteria (Stamatatos, 2009).”