Extracting the evolutionary backbone of scientific domains: The semantic main path network analysis approach based on citation context analysis

Letter Computer Science, Interdisciplinary Applications

Does main path analysis prefer longer paths?

Chung-Huei Kuan

Summary: This study examines the path preference of main path analysis (MPA) and finds that it may choose longer paths under certain algorithm combinations, while retaining both longer and shorter paths under other combinations.

SCIENTOMETRICS (2023)

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Article Computer Science, Interdisciplinary Applications

Exploring scientific trajectories of a large-scale dataset using topic-integrated path extraction

Erin H. J. Kim et al.

Summary: Main path analysis is used to trace knowledge transfer in a research field by extracting multiple longest paths from the citation network and integrating topic modeling. The study considers emergence, authority, and topic dynamics when analyzing documents represented by the extracted paths. An experiment is conducted on a dataset from healthcare informatics field to examine the results.

JOURNAL OF INFORMETRICS (2022)

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Article Computer Science, Interdisciplinary Applications

A semantic main path analysis method to identify multiple developmental trajectories

Liang Chen et al.

Summary: Main Path Analysis (MPA) is a method widely used to track the developmental trajectory of a technological field. However, traditional methods have limitations. To address these limitations, a new method called semantic MPA (sMPA) is proposed, which leverages semantic information to generate candidate paths and select main paths. Experimental results demonstrate that this method is capable of discovering more knowledge flows from important subfields and improving the coherence of paths.

JOURNAL OF INFORMETRICS (2022)

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Article Computer Science, Interdisciplinary Applications

Towards more convergent main paths: A relevance-based approach

Chen-Hao Huang et al.

Summary: This research proposes a new approach that takes citation relevance into consideration for main path analysis. By considering the level of relevance among documents, this method aims to find more accurate main paths compared to traditional approaches.

JOURNAL OF INFORMETRICS (2022)

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Proceedings Paper Computer Science, Artificial Intelligence

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation

Jiayuan Ding et al.

Summary: In recent years, the field of computer science has seen a rapid growth in the number of research papers, making it challenging to find valuable ones. This paper introduces a new task called Reading Path Generation (RPG) which automatically generates a path of papers to read for a given query. The proposed graph-optimization-based approach, considering the relationships between papers, outperforms other baselines according to extensive evaluations.

2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022) (2022)

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Article Information Science & Library Science

Towards establishing a research lineage via identification of significant citations

Tirthankar Ghosal et al.

Summary: Finding the lineage of a research topic is crucial for advancing scientific displacement. This paper discusses the investigation of discovering significant citations and leveraging them to build a research lineage. Two real-life case studies demonstrate the effectiveness of the proposed method.

QUANTITATIVE SCIENCE STUDIES (2022)

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Article Information Science & Library Science

A meta-analysis of semantic classification of citations

Suchetha N. Kunnath et al.

Summary: This literature review examines the current state of the art in citation classification and the approaches used to characterize citations based on their semantic type. The review emphasizes the use of machine learning and natural language processing to analyze linguistic features in the surrounding text of citations. It highlights the importance of identifying citation types for research evaluation, the challenges researchers face in the process, and existing research gaps in the field.

QUANTITATIVE SCIENCE STUDIES (2022)

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Article Computer Science, Interdisciplinary Applications

The classification of citing motivations: a meta-synthesis

Dongqing Lyu et al.

Summary: Citation analysis is a prevalent method in the field of information science, and this study used a meta-synthesis approach to establish a new comprehensive classification of citation motivations. The classification includes 35 descriptive concepts and 13 analytic themes, with scientific motivations and tactical motivations as the two main categories of citing reasons, serving rhetorical and social/benefit-oriented functions respectively. This synthesis contributes to bibliometric and scientific evaluation theory by providing a unified annotation schema for citation classification.

SCIENTOMETRICS (2021)

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Article Computer Science, Interdisciplinary Applications

Influence difference main path analysis: Evidence from DNA and blockchain domain citation networks

Dejian Yu et al.

Summary: The paper introduces an influence difference main path analysis model by distinguishing citations based on the prestige of citing papers, and devises three algorithms for weighting the citation network. The results demonstrate that the proposed model can appropriately uncover the evolutionary process and effectively distinguish citations in the network.

JOURNAL OF INFORMETRICS (2021)

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Article Computer Science, Interdisciplinary Applications

Tracing the main path of interdisciplinary research considering citation preference: A case from blockchain domain

Dejian Yu et al.

Summary: This paper proposes a new main path analysis method that addresses discipline bias and time bias in interdisciplinary research. The improved method provides more differentiated ranking for citation linkages in the network, enhancing the objectivity of the resulting main paths.

JOURNAL OF INFORMETRICS (2021)

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Article Computer Science, Interdisciplinary Applications

A decade of in-text citation analysis based on natural language processing and machine learning techniques: an overview of empirical studies

Sehrish Iqbal et al.

Summary: This article discusses the importance of in-text citation analysis in research evaluation and how advancements in full-text data processing techniques have been used to measure the impact of scientific publications. The focus of the research is on publications that have used natural language processing and machine learning techniques to analyze citations.

SCIENTOMETRICS (2021)

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Article Computer Science, Interdisciplinary Applications

Do main paths reflect technological trajectories? Applying main path analysis to the semiconductor manufacturing industry

Flavia Filippin

Summary: Main path analysis is proposed for identifying technological trajectories in patent-citation networks. This paper applies the method to trace the backbone of the semiconductor manufacturing industry's technological trajectory and discusses the adjustment of parameters and their consequences. Additionally, the algorithm's results are analyzed to determine if they represent the most important technological contributions to the trajectory.

SCIENTOMETRICS (2021)

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Article Computer Science, Information Systems

Main path analysis on cyclic citation networks

Xiaorui Jiang et al.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2020)

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Letter Computer Science, Interdisciplinary Applications

A note on choosing traversal counts in main path analysis

John S. Liu et al.

SCIENTOMETRICS (2020)

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Letter Computer Science, Interdisciplinary Applications

Regarding weight assignment algorithms of main path analysis and the conversion of arc weights to node weights

Chung-Huei Kuan

SCIENTOMETRICS (2020)

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Article Computer Science, Interdisciplinary Applications

A few notes on main path analysis

John S. Liu et al.

SCIENTOMETRICS (2019)

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Article Computer Science, Interdisciplinary Applications

Forward search path count as an alternative indirect citation impact indicator

Xiaorui Jiang et al.

JOURNAL OF INFORMETRICS (2019)

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Proceedings Paper Computer Science, Information Systems

Neural Multi-Task Learning for Citation Function and Provenance

Xuan Su et al.

2019 ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES (JCDL 2019) (2019)

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Article Computer Science, Information Systems

Topic Diffusion Analysis of a Weighted Citation Network in Biomedical Literature

Munui Kim et al.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2018)

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Article Computer Science, Interdisciplinary Applications

A novel machine-learning approach to measuring scientific knowledge flows using citation context analysis

Saeed-Ul Hassan et al.

SCIENTOMETRICS (2018)

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Article Computer Science, Interdisciplinary Applications

Mapping extended technological trajectories: integration of main path, derivative paths, and technology junctures

Junmo Kim et al.

SCIENTOMETRICS (2018)

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Article Computer Science, Artificial Intelligence

NLP-driven citation analysis for scientometrics

Rahul Jha et al.

NATURAL LANGUAGE ENGINEERING (2017)

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Article Computer Science, Artificial Intelligence

Citation function, polarity and influence classification

Myriam Hernandez-Alvarez et al.

NATURAL LANGUAGE ENGINEERING (2017)

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Article Computer Science, Information Systems

A new approach for main path analysis: Decay in knowledge diffusion

John S. Liu et al.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2016)

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Article Automation & Control Systems

On Constructing Seminal Paper Genealogy

Duck-Ho Bae et al.

IEEE TRANSACTIONS ON CYBERNETICS (2014)

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Article Computer Science, Information Systems

Citations With Different Levels of Relevancy: Tracing the Main Paths of Legal Opinions

John S. Liu et al.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2014)

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Article Computer Science, Interdisciplinary Applications

The ACL anthology network corpus

Dragomir R. Radev et al.

LANGUAGE RESOURCES AND EVALUATION (2013)

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Article Computer Science, Information Systems

An Integrated Approach for Main Path Analysis: Development of the Hirsch Index as an Example

John S. Liu et al.

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2012)

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Article Computer Science, Information Systems

Main-path analysis and path-dependent transitions in HistCite™-based historiograms

Diana Lucio-Arias et al.

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2008)

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Article Mathematics, Interdisciplinary Applications

Mapping technological trajectories as patent citation networks: A study on the history of fuel cell research

Bart Verspagen

ADVANCES IN COMPLEX SYSTEMS (2007)

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Article Automation & Control Systems

Latent Dirichlet allocation

DM Blei et al.

JOURNAL OF MACHINE LEARNING RESEARCH (2003)

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Article Computer Science, Information Systems

Why do we need algorithmic historiography?

E Garfield et al.

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2003)

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Extracting the evolutionary backbone of scientific domains: The semantic main path network analysis approach based on citation context analysis

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