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How does network intermediary affect collaborative innovation? Evidence from Chinese listed companies

Published in Journal of Data and Information Science

Purpose This study aims to explore how network intermediaries influence collaborative innovation performance within inter-organizational technological collaboration networks. Design/methodology/approach This study employs a mixed-method approach, combining quantitative social network analysis with regression techniques to investigate the role of ne...

A comprehensive review of existing corpora and methods for creating annotated corpora for event extraction tasks

Published in Journal of Data and Information Science

Purpose The purpose of this study is to serve as a comprehensive review of the existing annotated corpora. This review study aims to provide information on the existing annotated corpora for event extraction, which are limited but essential for training and improving the existing event extraction algorithms. In addition to the primary goal of this ...

Citation distributions and research evaluations: The impossibility of formulating a universal indicator

Published in Journal of Data and Information Science

Purpose To analyze the diversity of citation distributions to publications in different research topics to investigate the accuracy of size-independent, rank-based indicators. The top percentile-based indicators are the most common indicators of this type, and the evaluations of Japan are the most evident misjudgments. Design/methodology/approach T...

Early identification of scientific breakthroughs through outlier analysis based on research entities

Published in Journal of Data and Information Science

Purpose To address the “anomalies” that occur when scientific breakthroughs emerge, this study focuses on identifying early signs and nascent stages of breakthrough innovations from the perspective of outliers, aiming to achieve early identification of scientific breakthroughs in papers. Design/methodology/approach This study utilizes semantic tech...

Citation and bibliographic coupling between authors in the field of social network analysis

Published in Journal of Data and Information Science

Purpose We analyzed the structure of a community of authors working in the field of social network analysis (SNA) based on citation indicators: direct citation and bibliographic coupling metrics. We observed patterns at the micro, meso, and macro levels of analysis. Design/methodology/approach We used bibliometric network analysis, including the “t...

Community detection on elite mathematicians’ collaboration network

Published in Journal of Data and Information Science

Purpose This study focuses on understanding the collaboration relationships among mathematicians, particularly those esteemed as elites, to reveal the structures of their communities and evaluate their impact on the field of mathematics. Design/methodology/approach Two community detection algorithms, namely Greedy Modularity Maximization and Infoma...

General laws of funding for scientific citations: how citations change in funded and unfunded research between basic and...

Published in Journal of Data and Information Science

Purpose The goal of this study is to analyze the relationship between funded and unfunded papers and their citations in both basic and applied sciences. Design/methodology/approach A power law model analyzes the relationship between research funding and citations of papers using 831,337 documents recorded in the Web of Science database. Findings Th...

Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA

Published in Journal of Data and Information Science

Purpose Nanomedicine has significant potential to revolutionize biomedicine and healthcare through innovations in diagnostics, therapeutics, and regenerative medicine. This study aims to develop a novel framework that integrates advanced natural language processing, noise-free topic modeling, and multidimensional bibliometrics to systematically ide...

Research evolution of metal organic frameworks: A scientometric approach with human-in-the-loop

Published in Journal of Data and Information Science

Purpose This paper reports on a scientometric analysis bolstered by human-in-the-loop, domain experts, to examine the field of metal-organic frameworks (MOFs) research. Scientometric analyses reveal the intellectual landscape of a field. The study engaged MOF scientists in the design and review of our research workflow. MOF materials are an essenti...

The Unique citing documents Journal Impact Factor (Uniq-JIF) as a supplement for the standard Journal Impact Factor

Published in Journal of Data and Information Science