Mapping Knowledge Diffusion: A Network Analysis

This paper analyzes the effects of the co-authorship and bibliographic coupling networks on the citations received by scientific articles. It expands prior research that limited its focus on the position of co-authors and incorporates the effects of the use of knowledge sources within articles: references. By creating a network on the basis of shared references, we propose a way to understand whether an article bridges among extant strands of literature and infer the size of its research community and its embeddedness. Thus, we map onto the article – our unit of analysis – the metrics of authors' position in the co-authorship network and of the use of knowledge on which the scientific article is grounded. Specifically, we adopt centrality measures – degree, betweenneess, and closeness centrality – in the co-authorship network and degree, betweenness centrality and clustering coefficient in the bibliographic coupling and show their influence on the citations received in first two years after the year of publication. Findings show that authors' degree positively impacts citations. Also closeness centrality has a positive effect manifested only when the giant component is relevant. Author's betweenness centrality has instead a negative effect that persists until the giant component - largest component of the network in which all nodes can be linked by a path - is relevant. Moreover, articles that draw on fragmented strands of literature tend to be cited more, whereas the size of the scientific research community and the embeddedness of the article in a cohesive cluster of literature have no effect.

Research paper recommendation has been a hot research area for the last few decades. Thus far, numerous different paper recommendation approaches have been proposed. Some of these include methods based on metadata, content similarity, collaborative filtering, and citation analysis, among others. Citation analysis methods include bibliographic coupling and co-citation analysis. Much research has been done in the area of co-citation analysis. Researchers have also performed experiments using the proximity of in-text citations in co-citation analysis and have found that it improves the accuracy of paper recommendation. In co-citation analysis, the similarity is discovered based on the frequency of co-cited papers in different research papers and those citing papers may belong to different areas. However, when proximity is used to calculate co-citation, the accuracy of recommendations improves significantly. Bibliographic coupling finds bibliographic coupling strength based on the common references between two papers. In bibliographic coupling, a large number of common references of two papers means that they belong to the same area, unlike co-citation analysis, in which there is a possibility that the citing papers may belong to different areas. Based on the observation that with the use of proximity analysis the accuracy in cases of co-citation analysis has improved, this paper investigates if the accuracy of paper recommendation can be further improved by using proximity analysis in bibliographic coupling. This paper proposes an approach that extends the traditional bibliographic coupling by exploiting the proximity of in-text citations of bibliographically coupled articles. The proposed approach takes into account the proximity of in-text citations by clustering the in-text citations using a density-based algorithm called DBSCAN. Experiments on a data set of research papers are presented to show that there is a substantial increase in accuracy of the recommendations produced by DBSCAN based on proximity analysis of in-text citations compared to traditional bibliographic coupling and content-based approaches.

Improper component management remains as a significant issue in modular construction, causing material loss, supply delays, defects from poor storage, lack of real-time monitoring and data inconsistencies. These challenges undermine the full potential of modular construction. With emerging technologies, the integration of Building Information Modelling (BIM) and Radio Frequency Identification (RFID) offers promising solutions. However, the extent to which RFID–BIM workflows have been studied and applied in modular construction remains unclear. To address this gap, this study conducts a systematic review using the PRISMA methodology, focusing on peer-reviewed publications up to 2025 indexed in Scopus and Web of Science, complemented by IEEE Xplore and full-text retrieval from ScienceDirect. All database searches were done and completed on 18 June 2025, to maintain consistency across data sources. Studies were selected based on predefined criteria, targeting those addressing RFID, BIM and modular construction workflows. In this study, workflow refers to the integrated process connecting both digital and physical domains. It includes the digital flow of information between RFID systems, BIM models and databases, alongside on-site tasks such as tagging, scanning, visualization, transport and assembly of prefabricated components. In accordance with these criteria, 27 articles were finalised for detailed review. A bibliometric analysis was undertaken using VOSviewer 1.6.20, encompassing keyword co-occurrence, co-authorship network, co-citation and bibliographic coupling analyses. Thematic analysis identified key themes on RFID–BIM practices, further organised across lifecycle phases to show how they unfold throughout the modular construction process. Quantitative analysis of thematic occurrences identified workflow integration (81.5%) as the most frequently addressed topic, followed by implementation requirements (40.7%), component management (37.0%), proven outcomes of BIM-RFID implementation (33.3%) and challenges of BIM-RFID implementation (14.8%).

This thesis examines research collaboration patterns and knowledge structures in the interdisciplinary field of renewable energy and biodiversity. As global energy transitions accelerate, understanding how researchers collaborate and share knowledge across disciplinary boundaries becomes increasingly important. Employing scientometric methods and social network analysis, this study provides a comprehensive structural analysis of the field. The analysis is based on 936 academic papers sourced from the OpenAlex database, from which four distinct networks were constructed: author co-authorship, institution co-authorship, author co-citation, and institution co-citation networks. Following rigorous data cleaning and disambiguation procedures, the study computes key network metrics including degree centrality, strength, betweenness centrality, clustering coefficient, and average path length. Community detection algorithms and small-world coefficient tests are applied to uncover underlying structural patterns. Results reveal that both collaboration and citation networks exhibit distinct core-periphery structures. Author networks demonstrate small-world characteristics, indicating efficient information flow despite local clustering. The analysis identifies pivotal scholars, influential institutions, and dominant research communities within the field. Notably, the study reveals a divergence between collaborative activity and academic influence, suggesting that different mechanisms drive social and cognitive structures. These findings contribute to understanding knowledge production dynamics in interdisciplinary research and offer practical insights for research policy and cross-disciplinary collaboration. Keywords: research collaboration, co-authorship network, co-citation network, social network analysis, renewable energy, biodiversity

Exploring the Scope of Open Innovation: A Bibliometric Review of a Decade of Research

The concept of open innovation has attracted considerable attention since Henry Chesbrough first coined it to capture the increasing reliance of firms on external sources of innovation. Although open innovation has flourished as a topic within innovation management research, it has also triggered debates about the coherence of the research endeavors pursued under this umbrella, including its theoretical foundations. In this paper, we aim to contribute to these debates through a bibliometric review of the first decade of open innovation research. We combine two techniques--bibliographic coupling and co-citation analysis--to (1) visualize the network of publications that explicitly use the label `open innovation' and (2) to arrive at distinct clusters of thematically related publications. Our findings illustrate that open innovation research builds principally on four related streams of prior research, whilst the bibliographic network of open innovation research reveals that seven thematic clusters have been pursued persistently. While such persistence is undoubtedly useful to arrive at in-depth and robust insights, the observed patterns also signal the absence of new, emerging, themes. As such, `open innovation' might benefit from applying its own ideas: sourcing concepts and models from a broader range of theoretical perspectives as well as pursuing a broader range of topics might introduce dynamics resulting in more impact and proliferation.

Bibliometric author evaluation through linear regression on the coauthor network

Many studies on coauthorship networks focus on network topology and network statistical mechanics. This article takes a different approach by studying micro‐level network properties with the aim of applying centrality measures to impact analysis. Using coauthorship data from 16 journals in the field of library and information science (LIS) with a time span of 20 years (1988–2007), we construct an evolving coauthorship network and calculate four centrality measures (closeness centrality, betweenness centrality, degree centrality, and PageRank) for authors in this network. We find that the four centrality measures are significantly correlated with citation counts. We also discuss the usability of centrality measures in author ranking and suggest that centrality measures can be useful indicators for impact analysis.

Co-authorship networks and research impact: A social capital perspective

The purpose of this paper is to provide conceptual structure, explore current research directions, and suggest emerging trends in social entrepreneurship. The authors ultilize co-citation analysis as well as bibliographic coupling analysis to analyze 1122 social entrepreneurship publications thought VOS Viewer software. Co-citation analysis was used to explore the structure of the research topic, while bibliographic coupling analysis was used to identify potential research topics. Based on themes from co-citation analysis and bibliographic coupling analysis, the authors compared similarities and differences between themes to explore potential research groups in SE, for instance, hybrid organizations, social value creation, dimensions, and measurement of social goals. This is the first study using co-citation analysis and bibliographic coupling analysis to review publications related to social entrepreneurship. This research study contributes to the social entrepreneurship literature by enhancing the understanding of the structures in social entrepreneurship through citations, as well as can be employed to support scholars in other for recognizing future research directions.

Research on One-hole Split Endoscope (OSE) technology is garnering increasing attention. This study aims to delineate the global landscape and emerging trends within this field. Literature publications on OSE from January 1, 1992, to March 1, 2025, were retrieved from the Web of Science Core Collection's Science Citation Index Expanded. The sourced data were examined and indexed utilizing bibliometric methodologies. For the visualization analysis, VOSviewer software (version 1.6.19) was employed to conduct co-authorship, co-occurrence, bibliographic coupling, and co-citation analyses, thereby elucidating the overarching trends in OSE research in recent years.A total of 819 articles were retrieved. The volume of global OSE research and publications has demonstrated a consistent annual increase. The United States contributed the most significantly to global OSE research, attaining the highest citation counts and the highest h-index. Springer Nature and Elsevier published the highest number of relevant articles. Wooridul Spine Hospital, the University of California System, Seoul National University (SNU), and Seoul St. Mary's Hospital were identified as the four most prolific institutions. Research foci could be categorized into three primary clusters: neurosciences, surgical procedures, and orthopedics. Surgical procedures are projected to be the next prominent hotspot in the field. Based on current global research trends, the number of publications related to OSE is anticipated to continue rising. The United States currently stands as the leading contributor to this domain. The majority of future research efforts are expected to concentrate on clinical studies, particularly OSE surgical techniques, which are likely to represent the next research frontier. The findings of this study provide clinicians and researchers with a comprehensive overview of the global development of OSE technology, its core research entities, and future directions, thereby offering a bibliometric evidence base for tracking technological frontiers, selecting international collaborators, and determining priorities in clinical research.

This study presents a comprehensive bibliometric analysis of the food bank literature, highlighting the role of food banks in addressing the global challenges of food insecurity and waste. Food banks operate at the nexus of waste reduction and hunger alleviation, collecting excess food and distributing it through a network of charities to communities in need.This study traces the scholarly evolution of food banks, highlighting key trends, contributors, and thematic clusters from 1997 to 2022. Bibliometric mapping tools are used to examine the dynamic research landscape and identify influential authors, journals, and the geographical spread of contributions. The analysis reveals a significant increase in research output post-2015, correlating with the global agenda towards Sustainable Development Goals. The United States and Canada have emerged as leading contributors, with the research network indicating robust international collaborations.Thematic analyses through keyword co-occurrence, co-citation, and bibliographic coupling uncover the multidisciplinary nature of food bank studies, encompassing public health, social policy, and environmental sustainability. Key findings from cocitation and bibliographic coupling analyses indicate a shift towards a holistic understanding of food banks' roles within societal and policy frameworks, emphasizing health outcomes, operational strategies for managing food waste, and the sociopolitical impacts of austerity measures. This paper underscores the importance of continued interdisciplinary research and innovative policy formulations to ensure that food banks effectively address the complex dynamics of food insecurity.Despite its limitations, this study offers a robust foundation for future exploration in this field, providing support for broader inclusivity and diversity in research.

Through the use of bibliometric analysis, the study seeks to highlight worldwide research patterns and future directions for virtual leadership research during the past two decades (2000–2024).The research employs bibliometric analysis to examine co-authorship, co-occurrence, citation, bibliographic coupling, and co-citation analysis in 199 papers on virtual leadership that were extracted from the Scopus database (2 July 2024). It does this by using performance analysis and scientific mapping. The most significant authors, articles, Journals, organizations, and countries were examined. VOSviewer software was employed in the study as a performance analysis and science mapping tool. The most productive years were 2023 and 2024 with 41 publications and the most impactful institutes and countries are Binghamton University and the country is the United States, respectively. Similarly, the most influential journal is “Organizational Dynamics”, furthermore, the most cited article is “E-leadership: Implications for theory, research, and practice”. The authors also identified four thematic clusters of Research on virtual leadership, the four theme groupings are E-Leadership, Digital Leadership Capability, Sustainable Performance, and Mediated Communications. This study provides guidance for academics and details on the current status of research in the area of virtual leadership literature. It also suggests future paths of inquiry for this field of study. Through the identification of important influencers and theme clusters, this study provides a thorough bibliometric analysis of virtual leadership, contributing to a better knowledge of the subject and directing future research efforts.

This study aims to offer a bibliometric analysis of the last three decades’ worth of research on virtual teams in work settings (1990–2024). The study seeks to uncover theme clusters of virtual teams, current research trends, and knowledge foundations. Utilising co-authorship, co-occurrence, citation analysis, bibliographic coupling, and co-citation analysis, the research uses bibliometric analysis. To find patterns and knowledge clusters, a total of 413 documents were taken out of the Scopus database and examined using VOSviewer. The research highlights five thematic clusters for virtual teams: digital entrepreneurship, leadership, collaborative working, workplace, and virtual teams. The study emphasises how virtual teams are becoming more and more common in work environments. The unique aspect of this work is the thorough analysis of virtual team studies that span more than 30 years, with a focus on the post-COVID-19 era. In addition to helping to identify knowledge gaps and suggesting future study objectives in areas like remote work, leadership in virtual environments, and the effect of cultural diversity on team dynamics, it offers insightful information on the development of virtual team research.

Corporate entrepreneurship in public sector: A systematic literature review and research agenda