Journal of Informetrics最新文献_第6页

Acknowledging the new invisible colleague: Addressing the recognition of Open AI contributions in in scientific publishing 承认新的隐形同事：解决在科学出版中对开放人工智能贡献的承认问题

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-02-03 DOI: 10.1016/j.joi.2025.101642

Juan Gorraiz

引用次数: 0

Study on the predictability of new topics of scholars: A machine learning-based approach using knowledge networks 学者新课题的可预测性研究：基于知识网络的机器学习方法

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-02-01 DOI: 10.1016/j.joi.2025.101637

Zhixiang Wu , Hucheng Jiang , Lianjie Xiao , Hao Wang , Jin Mao

{"title":"Study on the predictability of new topics of scholars: A machine learning-based approach using knowledge networks","authors":"Zhixiang Wu , Hucheng Jiang , Lianjie Xiao , Hao Wang , Jin Mao","doi":"10.1016/j.joi.2025.101637","DOIUrl":"10.1016/j.joi.2025.101637","url":null,"abstract":"<div><div>Scholars continuously explore new research topics to drive personal academic achievements. While factors influencing topic selection exist, the predictability of scholars’ choices regarding new topics is not yet fully understood. To bridge the gap, this study investigates the predictability of <em>new topics of scholars (NTS)</em>. The research task is transformed into a binary classification, predicting whether <em>NTS</em> that appear in the disciplinary knowledge network will be adopted by a scholar in the future. Using PubMed Knowledge Graph (PKG) as the data source, over 17,000 local knowledge networks (LKNs) of individual scholars are constructed, along with a global knowledge network (GKN) of all the scholars in the database. Sixteen features of knowledge network topology and candidate topics are extracted, and seven machine learning algorithms are applied. Our large-scale experiments show that the best prediction model achieves an F1 score of 86.49%. Shapley values provide more interpretable results. A 1-year observation window appears to be sufficient for making predictions. Novel topics and young scholars exhibit good predictability. Our findings provide profound insights into the predictability of scholars' topic selection and offer practical implications for future in-depth studies.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 1","pages":"Article 101637"},"PeriodicalIF":3.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Collaboration networks and radical innovation: Two faces of tie strength and structural holes 协作网络与激进创新：纽带强度与结构孔的两面

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-02-01 DOI: 10.1016/j.joi.2024.101636

Jia Zhang , Jian Wang , Jos Winnink , Simcha Jong

{"title":"Collaboration networks and radical innovation: Two faces of tie strength and structural holes","authors":"Jia Zhang , Jian Wang , Jos Winnink , Simcha Jong","doi":"10.1016/j.joi.2024.101636","DOIUrl":"10.1016/j.joi.2024.101636","url":null,"abstract":"<div><div>This paper studies how tie strength and structural holes collectively affect innovation radicalness at a location within an innovating firm. We identified 16,011 inventors’ locations of the 93 most innovative U.S. pharmaceuticals and biotechnology companies on the EU Industrial R&D Investment Scoreboard. We tracked their patents from 2001 to 2013 and constructed a panel dataset for analysis. Using firm-location fixed effect models, we found that the average tie strength of a location's egocentric network has a negative effect on innovation radicalness, and this negative effect is stronger when the location's egocentric network is cohesive. This suggests that weak ties have informational advantages for radical innovation, which are more pronounced when there is network cohesion to mitigate the relational disadvantages of weak ties. We also found a negative effect of structural holes on innovation radicalness when tie strength is weak but a positive effect when tie strength is strong. This indicates that strong ties are needed for mobilizing the informational advantages associated with structural holes.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 1","pages":"Article 101636"},"PeriodicalIF":3.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integration vs segregation: Network analysis of interdisciplinarity in funded and unfunded research on infectious diseases 整合与分离：传染病资助与非资助研究的跨学科网络分析

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-02-01 DOI: 10.1016/j.joi.2024.101634

Anbang Du , Michael Head , Markus Brede

{"title":"Integration vs segregation: Network analysis of interdisciplinarity in funded and unfunded research on infectious diseases","authors":"Anbang Du , Michael Head , Markus Brede","doi":"10.1016/j.joi.2024.101634","DOIUrl":"10.1016/j.joi.2024.101634","url":null,"abstract":"<div><div>Interdisciplinary research fuels innovation. In this paper, we examine the interdisciplinarity of research output driven by funding. Considering 36 major infectious diseases, we model interdisciplinarity through temporal correlation networks based on funded and unfunded research from 1995-2022. Using hierarchical clustering, we identify coherent periods of time or regimes characterised by important research topics like vaccinations or the Zika outbreak. We establish that funded research is less interdisciplinary than unfunded research, but the effect has decreased markedly over time. In terms of network growth, we find a tendency of funded research to focus on readily established connections leading to compartmentalisation and conservatism. In contrast, unfunded research tends to be exploratory and bridge distant knowledge leading to knowledge integration. Our results show that interdisciplinary research on prominent infectious diseases like HIV and tuberculosis tends to have strong bridging effects facilitating global knowledge integration in the network. At the periphery of the network, we observe the emergence of vaccination-related and Zika-related knowledge clusters, both with limited systemic impact. We further show that despite the surge in publications related to COVID-19, its systematic impact on the disease network remains relatively low. Overall, this research provides a generalisable framework to examine the impact of funding in interdisciplinary knowledge creation. It can assist in priority setting, for example with horizon scanning for new and emerging threats to health, such as pandemic planning. Policymakers, funding agencies, and research institutions should consider revamping evaluation systems to reward interdisciplinary work and implement mechanisms that promote and support intelligent risk-taking.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 1","pages":"Article 101634"},"PeriodicalIF":3.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The inter-institutional and intra-institutional multi-affiliation authorships in the scientific papers produced by the well-ranked universities 排名靠前的大学发表的科学论文中，机构间和机构内的多归属作者

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-02-01 DOI: 10.1016/j.joi.2024.101635

Chi-shiou Lin , Mu-hsuan Huang , Dar-zen Chen

引用次数: 0

Unveiling intrinsic interactions of science and technology in artificial intelligence using a network portrait divergence approach 利用网络画像发散方法揭示人工智能中科学技术的内在相互作用

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-02-01 DOI: 10.1016/j.joi.2024.101630

Kai Meng , Zhichao Ba , Chunying Wang , Gang Li

{"title":"Unveiling intrinsic interactions of science and technology in artificial intelligence using a network portrait divergence approach","authors":"Kai Meng , Zhichao Ba , Chunying Wang , Gang Li","doi":"10.1016/j.joi.2024.101630","DOIUrl":"10.1016/j.joi.2024.101630","url":null,"abstract":"<div><div>Artificial Intelligence (AI) is experiencing unprecedented innovation and transformation, potentially attributed to intimate interactions between science and technology (S&T) within the field. To identify S&T linkages and detect intrinsic interactions within AI, this paper introduces a network portrait divergence approach, where S&T knowledge networks are prototyped as two-dimensional network portraits based on graph-invariant probability distributions, and comparing them by coupling network portrait divergence with knowledge content. Specifically, S&T knowledge of AI is first extracted and unified through KeyBERT and word-alignment algorithms. Subsequently, temporal S&T knowledge networks are constructed and visualized as two network portraits: node portraits and edge-weight portraits. Network portrait divergence, an information-theoretic, graph-like measure for comparing networks, is applied to calculate varying S&T portrait divergences. Finally, internal knowledge flows within S&T and dynamic interactions between them are unearthed based on multiscale backbone analysis. Empirical experiments on both synthetic networks (random graph ensembles) and real-world AI datasets underscore the feasibility and reliability of the network portrait divergence approach.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 1","pages":"Article 101630"},"PeriodicalIF":3.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating persistence process into the analysis of technology convergence using STERGM 利用STERGM将持久性过程集成到技术融合分析中

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-02-01 DOI: 10.1016/j.joi.2024.101632

Guancan Yang , Di Liu , Ling Chen , Kun Lu

{"title":"Integrating persistence process into the analysis of technology convergence using STERGM","authors":"Guancan Yang , Di Liu , Ling Chen , Kun Lu","doi":"10.1016/j.joi.2024.101632","DOIUrl":"10.1016/j.joi.2024.101632","url":null,"abstract":"<div><div>Understanding the dynamics of technology convergence is indispensable for both academic and industrial perspectives. Traditional analyses have mainly focused on the link formation process, overlooking the role that persistence process plays in shaping technology networks. This paper endeavors to fill this gap by incorporating the persistence process into the analysis of technology convergence using the <em>Separate Temporal Exponential Random Graph Model</em> (STERGM). Utilizing a decade-long dataset of breast cancer drug patents, we provide a comprehensive view of technology convergence mechanisms and their predictive capabilities. Our findings reveal significant differences in network effects between formation and persistence processes, indicating that focusing on only one may misrepresent the evolution of technology networks. The combined model achieves an F1 score of 69.54% in empirical forecasting, confirming its practical utility. Additionally, we introduce Intensification Networks to examine how existing ties strengthen or weaken over time, uncovering the critical role of intensification in the long-term evolution of technology convergence. By capturing both the formation of new ties and the intensification of existing ones, our model offers a more nuanced and forward-looking understanding of convergence dynamics, particularly in identifying potential areas for future technology convergence.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 1","pages":"Article 101632"},"PeriodicalIF":3.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evolution and effect of meeting abstracts in JCR journals JCR期刊会议摘要的演变与影响

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-02-01 DOI: 10.1016/j.joi.2024.101631

David Melero-Fuentes , Remedios Aguilar-Moya , Juan-Carlos Valderrama-Zurián , Juan Gorraiz

{"title":"Evolution and effect of meeting abstracts in JCR journals","authors":"David Melero-Fuentes , Remedios Aguilar-Moya , Juan-Carlos Valderrama-Zurián , Juan Gorraiz","doi":"10.1016/j.joi.2024.101631","DOIUrl":"10.1016/j.joi.2024.101631","url":null,"abstract":"<div><div>The purpose of the present study is to analyse the presence and evolution in the last 13 years of the document type “Meeting Abstract” in the database where they are best represented, i.e. in the Web of Science Core Collection. We have also studied in which categories and in which type of journals they have a significant presence.</div><div>Frequency analyses of meeting abstracts (absolute and ratios) were performed on years, indexes, categories and topics variables, and the Impact Factor was calculated without the citations obtained by the meeting abstracts.</div><div>The results obtained show that in disciplines such as <em>Clinical Medicine, Neuroscience & Behavior.</em> and <em>Biology & Biochemistry</em>, they play a very important role due to both their number and the number of attracted citations, and that they are regularly published in top journals, including Q1 according to the Journal of Citation Reports. Our results also corroborate the hypothesis that they inflate the Impact Factor and therefore are one of the reasons for the high absolute values of this indicator in categories like <em>Oncology</em> and <em>Hematology.</em></div><div>This study is of great relevance for researchers and policymakers, because it helps to identify in which disciplines Meeting Abstracts have relevance and they should be considered for the calculation of indicators in bibliometric practices, and opens the door to research into their relationship with other documentary typologies within the social processes of scientific communication in different sciences.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 1","pages":"Article 101631"},"PeriodicalIF":3.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to “A framework armed with node dynamics for predicting technology convergence” [Journal of Informetrics 18 (2024) 101583] “用节点动态预测技术融合的框架”的更正[Journal of Informetrics 18 (2024) 101583]

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-02-01 DOI: 10.1016/j.joi.2024.101629

Guancan Yang , Jiaxin Xing , Shuo Xu , Yuntian Zhao

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A Dirichlet-Multinomial mixture model of Statistical Science: Mapping the shift of a paradigm 统计科学的Dirichlet-Multinomial混合模型：映射范式的转变

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-02-01 DOI: 10.1016/j.joi.2024.101633

Massimo Bilancia , Rade Dačević

引用次数: 0