Pub Date : 2024-09-19DOI: 10.1177/01655515241268863
Zhixuan Lian, Fang Wang
Currently, an increasing number of governments have adopted question answering systems (QASs) in public service delivery. As some citizens with limited information literacy often express their questions vaguely when interacting with a chatbot, it is necessary to improve the contextual understanding and reasoning ability of government chatbots (G-chatbots). This goal can be achieved through the optimisation of the matching between question, answer and context. By incorporating the Relational Graph Convolutional Networks (R-GCNs) and fuzzy logic, this study proposes a multi-turn dialogue model that introduces a re-question mechanism and a subgraph matching algorithm. The experiment results show that the model can improve the contextual reasoning ability of G-chatbots by about 10% and generate answers in a more explainable way. This study innovatively integrates a question–answer–context matching approach, re-question mechanism into the MTRF-G-chatbot model, reducing barriers to citizens’ access to government services and enhancing contextual reasoning abilities.
目前，越来越多的政府在提供公共服务时采用了问题解答系统（QAS）。由于一些信息素养有限的公民在与聊天机器人互动时往往会含糊不清地表达自己的问题，因此有必要提高政府聊天机器人（G-chatbots）的语境理解和推理能力。这一目标可以通过优化问题、答案和上下文之间的匹配来实现。通过结合关系图卷积网络（R-GCN）和模糊逻辑，本研究提出了一种多轮对话模型，该模型引入了重问机制和子图匹配算法。实验结果表明，该模型能将 G 聊天机器人的语境推理能力提高约 10%，并以更易解释的方式生成答案。本研究创新性地将问题-答案-语境匹配方法、重问机制整合到 MTRF-G 聊天机器人模型中，减少了公民获取政府服务的障碍，提高了语境推理能力。
{"title":"Government chatbot: Empowering smart conversations with enhanced contextual understanding and reasoning","authors":"Zhixuan Lian, Fang Wang","doi":"10.1177/01655515241268863","DOIUrl":"https://doi.org/10.1177/01655515241268863","url":null,"abstract":"Currently, an increasing number of governments have adopted question answering systems (QASs) in public service delivery. As some citizens with limited information literacy often express their questions vaguely when interacting with a chatbot, it is necessary to improve the contextual understanding and reasoning ability of government chatbots (G-chatbots). This goal can be achieved through the optimisation of the matching between question, answer and context. By incorporating the Relational Graph Convolutional Networks (R-GCNs) and fuzzy logic, this study proposes a multi-turn dialogue model that introduces a re-question mechanism and a subgraph matching algorithm. The experiment results show that the model can improve the contextual reasoning ability of G-chatbots by about 10% and generate answers in a more explainable way. This study innovatively integrates a question–answer–context matching approach, re-question mechanism into the MTRF-G-chatbot model, reducing barriers to citizens’ access to government services and enhancing contextual reasoning abilities.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"55 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-29DOI: 10.1177/01655515241268845
Niloofar Solhjoo
The transition of a companion animal and a human companion into a shared family context is an everyday yet complex process that involves information interactions. Concerned with the cognitive information that resides within humans’ and animals’ minds, this article aims to explore the knowings (having knowledge or awareness about something) of all multispecies family members. Building upon an information experience approach, the research process consisted of experiential material gathering with multispecies ethnography, followed by phenomenological reflections and writing. Findings are organised into three main sections: animal knowing, human knowing and their engaged knowing. The cognitive information presented in this study is sometimes unconventional, yet innovative within the field of Information Science. the article contributes to the cognitive view of information by showing how diverse information from both humans and animals interweaves to shape a harmonious understanding in everyday life and provides implications for information research, practice and design.
{"title":"Knowing within multispecies families: An information experience study","authors":"Niloofar Solhjoo","doi":"10.1177/01655515241268845","DOIUrl":"https://doi.org/10.1177/01655515241268845","url":null,"abstract":"The transition of a companion animal and a human companion into a shared family context is an everyday yet complex process that involves information interactions. Concerned with the cognitive information that resides within humans’ and animals’ minds, this article aims to explore the knowings (having knowledge or awareness about something) of all multispecies family members. Building upon an information experience approach, the research process consisted of experiential material gathering with multispecies ethnography, followed by phenomenological reflections and writing. Findings are organised into three main sections: animal knowing, human knowing and their engaged knowing. The cognitive information presented in this study is sometimes unconventional, yet innovative within the field of Information Science. the article contributes to the cognitive view of information by showing how diverse information from both humans and animals interweaves to shape a harmonious understanding in everyday life and provides implications for information research, practice and design.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"293 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142221790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-12DOI: 10.1177/01655515241269499
Jaime A. Teixeira da Silva
Global university rankings (GURs), such as the Times Higher Education World University Ranking (THE WUR), Quacquarelli Symonds University World Rankings (QS UWR) and the Academic Ranking of World Universities (ARWU) are positively incremental, that is, they do not reflect any level of penalisation in response to unscholarly activity, especially in the field of research and publication. In the light of an increasing trend in fraud, such as the use of paper mills and authorship-for-sale schemes, this letter proposes that GURs need to be reduced, or penalised, in response to cases of misconduct and instances of retractions. In the absence of a transparent corrective system, GURs will be further criticised for being unfair, biased and not reflective of an evolving and unstable academic publishing ecosystem.
{"title":"How are global university rankings adjusted for erroneous science, fraud and misconduct? Posterior reduction or adjustment in rankings in response to retractions and invalidation of scientific findings","authors":"Jaime A. Teixeira da Silva","doi":"10.1177/01655515241269499","DOIUrl":"https://doi.org/10.1177/01655515241269499","url":null,"abstract":"Global university rankings (GURs), such as the Times Higher Education World University Ranking (THE WUR), Quacquarelli Symonds University World Rankings (QS UWR) and the Academic Ranking of World Universities (ARWU) are positively incremental, that is, they do not reflect any level of penalisation in response to unscholarly activity, especially in the field of research and publication. In the light of an increasing trend in fraud, such as the use of paper mills and authorship-for-sale schemes, this letter proposes that GURs need to be reduced, or penalised, in response to cases of misconduct and instances of retractions. In the absence of a transparent corrective system, GURs will be further criticised for being unfair, biased and not reflective of an evolving and unstable academic publishing ecosystem.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"9 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142221791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-31DOI: 10.1177/01655515241261056
Xingyu Gao, Qiang Wu, Yuanyuan Liu, Yining Wang
Patent citations received by a paper are considered one of the most appropriate indicators for quantifying the technological impact of scientific research. In light of the large number of published research outcomes, technology developers need an effective method to identify academic work with potential technological impact and so as to provide scientific theories for the generation of relevant technologies. Focusing on the technical field of artificial intelligence (AI), this study constructs a set of 47 features from seven dimensions and uses feature selection and machine learning models to accurately predict how research papers impact AI technology. The results show that the random forest model is superior to the other tested models in predicting AI patent citations of papers, with citation-related features (such as ‘PaperCitations’ and ‘Background’) playing a vital role in the prediction.
{"title":"Predicting the technological impact of papers: Exploring optimal models and most important features","authors":"Xingyu Gao, Qiang Wu, Yuanyuan Liu, Yining Wang","doi":"10.1177/01655515241261056","DOIUrl":"https://doi.org/10.1177/01655515241261056","url":null,"abstract":"Patent citations received by a paper are considered one of the most appropriate indicators for quantifying the technological impact of scientific research. In light of the large number of published research outcomes, technology developers need an effective method to identify academic work with potential technological impact and so as to provide scientific theories for the generation of relevant technologies. Focusing on the technical field of artificial intelligence (AI), this study constructs a set of 47 features from seven dimensions and uses feature selection and machine learning models to accurately predict how research papers impact AI technology. The results show that the random forest model is superior to the other tested models in predicting AI patent citations of papers, with citation-related features (such as ‘PaperCitations’ and ‘Background’) playing a vital role in the prediction.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"56 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141868712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-25DOI: 10.1177/01655515241263286
Hongyu Zhao, Xu Wang
The theories, methods and techniques of bibliometrics, scientometrics, informetrics, webometrics and knowledgometrics together constitute Five-Metrics. Five-Metrics is one of the most active research fields in China’s library and information science (LIS), and the research on Five-Metrics in China is characterised by the diversity of disciplines. Quantitative analysis of interdisciplinary research in Five-Metrics of China reveals the disciplinary origin and knowledge structure of Chinese Five-Metrics, grasps the interdisciplinary patterns and laws of Five-Metrics, and helps promote international exchange and cooperation, innovation and development of Five-Metrics research in the context of open science. Based on the theory of knowledge flow, this study uses a combination of citation analysis, mathematical modelling analysis, social network analysis and statistical analysis. We study the interdisciplinary degree of Five-Metrics based on 20,528 publications and corresponding 207,530 reference records and 111,823 citing article records, using a combination of python, gephi, origin and other tools. The results show that the interdisciplinarity of Five-Metrics publications and knowledge flow at the macroscopic level is high, and interdisciplinarity of the cited references and citing articles of Five-Metrics is higher. At the microscopic level, there is a wide gap in the interdisciplinarity of Five-Metrics in different disciplines. In addition, this study identifies three interdisciplinary knowledge flow patterns of Five-Metrics of China. This study conducts a comprehensive analysis of the interdisciplinary Five-Metrics study in China based on the cited references, publications and citing articles.
{"title":"Research on interdisciplinarity of five-metrics in China based on Chinese Citation Data under the background of open science","authors":"Hongyu Zhao, Xu Wang","doi":"10.1177/01655515241263286","DOIUrl":"https://doi.org/10.1177/01655515241263286","url":null,"abstract":"The theories, methods and techniques of bibliometrics, scientometrics, informetrics, webometrics and knowledgometrics together constitute Five-Metrics. Five-Metrics is one of the most active research fields in China’s library and information science (LIS), and the research on Five-Metrics in China is characterised by the diversity of disciplines. Quantitative analysis of interdisciplinary research in Five-Metrics of China reveals the disciplinary origin and knowledge structure of Chinese Five-Metrics, grasps the interdisciplinary patterns and laws of Five-Metrics, and helps promote international exchange and cooperation, innovation and development of Five-Metrics research in the context of open science. Based on the theory of knowledge flow, this study uses a combination of citation analysis, mathematical modelling analysis, social network analysis and statistical analysis. We study the interdisciplinary degree of Five-Metrics based on 20,528 publications and corresponding 207,530 reference records and 111,823 citing article records, using a combination of python, gephi, origin and other tools. The results show that the interdisciplinarity of Five-Metrics publications and knowledge flow at the macroscopic level is high, and interdisciplinarity of the cited references and citing articles of Five-Metrics is higher. At the microscopic level, there is a wide gap in the interdisciplinarity of Five-Metrics in different disciplines. In addition, this study identifies three interdisciplinary knowledge flow patterns of Five-Metrics of China. This study conducts a comprehensive analysis of the interdisciplinary Five-Metrics study in China based on the cited references, publications and citing articles.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"4 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141780453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-25DOI: 10.1177/01655515241263263
Jing Li, Wenting Ao, Xiaoli Lu, Dengsheng Wu
This study examines the interdisciplinarity scores of papers published in five major Economic journals by analysing their references. It also explores the relationship between interdisciplinarity and citation. The study considers the influence of the citation time window on accumulating citations and investigates the source of citation advantage for high interdisciplinarity papers. Empirical findings reveal a U-shaped curve relationship between the interdisciplinarity of papers and their citation frequency. Papers with high interdisciplinarity do enjoy a citation advantage, which primarily stems from the attention and citations from distant disciplinary papers and multidisciplinary journals. However, it often takes a longer time for the value of interdisciplinary papers to be recognised. Based on these findings, the study discusses the necessity and effectiveness of incentives for interdisciplinary research and provides recommendations for evaluating and managing interdisciplinary research.
本研究通过分析在五种主要经济学期刊上发表的论文的参考文献，研究了这些论文的跨学科性得分。研究还探讨了跨学科性与引文之间的关系。研究考虑了引文时间窗对累积引文的影响，并调查了高跨学科性论文的引文优势来源。实证研究结果表明，论文的跨学科性与其被引频次之间呈 U 型曲线关系。高跨学科性论文确实享有引用优势，这主要源于来自远距离学科论文和多学科期刊的关注和引用。然而，跨学科论文的价值往往需要较长时间才能得到认可。基于这些发现，本研究讨论了激励跨学科研究的必要性和有效性，并为跨学科研究的评估和管理提供了建议。
{"title":"Do papers of high interdisciplinarity have an advantage in terms of citations? A case study of the top five Economic journals","authors":"Jing Li, Wenting Ao, Xiaoli Lu, Dengsheng Wu","doi":"10.1177/01655515241263263","DOIUrl":"https://doi.org/10.1177/01655515241263263","url":null,"abstract":"This study examines the interdisciplinarity scores of papers published in five major Economic journals by analysing their references. It also explores the relationship between interdisciplinarity and citation. The study considers the influence of the citation time window on accumulating citations and investigates the source of citation advantage for high interdisciplinarity papers. Empirical findings reveal a U-shaped curve relationship between the interdisciplinarity of papers and their citation frequency. Papers with high interdisciplinarity do enjoy a citation advantage, which primarily stems from the attention and citations from distant disciplinary papers and multidisciplinary journals. However, it often takes a longer time for the value of interdisciplinary papers to be recognised. Based on these findings, the study discusses the necessity and effectiveness of incentives for interdisciplinary research and provides recommendations for evaluating and managing interdisciplinary research.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"62 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141780454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-25DOI: 10.1177/01655515241260711
Gobinda Chowdhury, Sudatta Chowdhury
Education for sustainable development (ESD) has been identified by the United Nations Educational, Scientific and Cultural Organization (UNESCO) as a core requirement for achieving success in the UN Sustainable Development Goals (SDGs). Research around data, information and people for achieving success in different SDGs shows how important ESD is. Research also shows that the library and information sector can contribute in many ways to achieve the UN SDGs. Therefore, it is crucial that a strategic approach is taken to embed the concepts of SDGs and their targets and indicators, and the corresponding data and information required to achieve those, within the information science curricula, so that the SDGs form the foundation of information science education, research and professional activities. This article aims to develop a research agenda for education and research in information sciences for promoting and achieving success in different SDGs. First, taking the approach of a metareview, this article shows the trends, as well as challenges, of research and development activities around information for sustainable development. This article demonstrates how the different activities of the LIS (Library and Information Science) sector can be mapped onto some specific targets and indicators of different SDGs, and based on this, it develops an agenda for education and research in information for sustainable development. The research agenda will lead to the development of new information sciences curricula to accommodate the SDGs for training and research in specific LIS activities. This article discusses how the research agenda will also lead to the development of trained professionals in information science for promoting the concepts, and achieving the targets, of the SDGs for a sustainable future.
{"title":"Towards an agenda for information education and research for sustainable development","authors":"Gobinda Chowdhury, Sudatta Chowdhury","doi":"10.1177/01655515241260711","DOIUrl":"https://doi.org/10.1177/01655515241260711","url":null,"abstract":"Education for sustainable development (ESD) has been identified by the United Nations Educational, Scientific and Cultural Organization (UNESCO) as a core requirement for achieving success in the UN Sustainable Development Goals (SDGs). Research around data, information and people for achieving success in different SDGs shows how important ESD is. Research also shows that the library and information sector can contribute in many ways to achieve the UN SDGs. Therefore, it is crucial that a strategic approach is taken to embed the concepts of SDGs and their targets and indicators, and the corresponding data and information required to achieve those, within the information science curricula, so that the SDGs form the foundation of information science education, research and professional activities. This article aims to develop a research agenda for education and research in information sciences for promoting and achieving success in different SDGs. First, taking the approach of a metareview, this article shows the trends, as well as challenges, of research and development activities around information for sustainable development. This article demonstrates how the different activities of the LIS (Library and Information Science) sector can be mapped onto some specific targets and indicators of different SDGs, and based on this, it develops an agenda for education and research in information for sustainable development. The research agenda will lead to the development of new information sciences curricula to accommodate the SDGs for training and research in specific LIS activities. This article discusses how the research agenda will also lead to the development of trained professionals in information science for promoting the concepts, and achieving the targets, of the SDGs for a sustainable future.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"422 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141780452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-25DOI: 10.1177/01655515241263283
Wei-Ching Hsiao, Hei Chia Wang
Sentiment analysis is a powerful tool for monitoring attitudes towards companies, products or services and identifying specific features that drive positive or negative sentiment. However, collecting labelled data for training sentiment analysis models in a specific domain can be challenging in practical applications. One promising solution to this ‘cold-start’ problem is domain adaptation, which leverages labelled data from a related source domain to train a model for the target domain. A critical yet often neglected aspect in prior research is the measurement of similarity between the source and target domains, a factor that greatly impacts the success of domain adaptation. To fill this gap, we propose a novel measure that combines semantic, syntactic and lexical features to assess corpus-level similarity between two domains. Our experimental results demonstrate that our method achieves high precision (0.91) and recall (0.75), outperforming traditional methods. Moreover, our proposed measure can assist new domain products in selecting the most suitable training data set for their sentiment analysis tasks.
{"title":"Cross-domain corpus selection for cold-start context","authors":"Wei-Ching Hsiao, Hei Chia Wang","doi":"10.1177/01655515241263283","DOIUrl":"https://doi.org/10.1177/01655515241263283","url":null,"abstract":"Sentiment analysis is a powerful tool for monitoring attitudes towards companies, products or services and identifying specific features that drive positive or negative sentiment. However, collecting labelled data for training sentiment analysis models in a specific domain can be challenging in practical applications. One promising solution to this ‘cold-start’ problem is domain adaptation, which leverages labelled data from a related source domain to train a model for the target domain. A critical yet often neglected aspect in prior research is the measurement of similarity between the source and target domains, a factor that greatly impacts the success of domain adaptation. To fill this gap, we propose a novel measure that combines semantic, syntactic and lexical features to assess corpus-level similarity between two domains. Our experimental results demonstrate that our method achieves high precision (0.91) and recall (0.75), outperforming traditional methods. Moreover, our proposed measure can assist new domain products in selecting the most suitable training data set for their sentiment analysis tasks.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"19 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141780374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-25DOI: 10.1177/01655515241260714
Yujia Zhai, Yixiao Liang, Jia Xu, Jiaqi Yan
This study conducts a comparison of the references and citations of two discoveries that were made simultaneously yet independently. The two discoveries, specifically ‘Inference of Population Structure Using Multilocus Genotype Data (IPSUMGD)’ and ‘Latent Dirichlet Allocation (LDA)’, are both significant academic publications in their respective fields. Although they share similar underlying concepts, they originate from different disciplines. Our objective is to analyse similarities and differences in the knowledge foundation and diffusion trajectories of these simultaneous discoveries, IPSUMGD and LDA, to further determine if a general pattern of successful innovation diffusion exists. The results indicate that the considerable similarity in the core ideas of IPSUMGD and LDA may be attributed to a strong disciplinary connection in their knowledge foundation, leading to overlapping diffusion processes. However, the divergence in thematic volatility and discipline distribution implies that IPSUMGD and LDA occupy distinct and independent diffusion spaces, which is crucial for their success. The citation cascade networks highlight the unique diffusion patterns of IPSUMGD and LDA, with IPSUMGD originating from the emergence of multiple high-impact nodes and LDA evolving through iterative innovation. The main path analysis reveals that both articles feature several key nodes in their diffusion processes, and the original authors have made substantial contributions to their long-term citation trajectories.
{"title":"All roads lead to Rome: Understanding the diffusion trajectories of innovation twins","authors":"Yujia Zhai, Yixiao Liang, Jia Xu, Jiaqi Yan","doi":"10.1177/01655515241260714","DOIUrl":"https://doi.org/10.1177/01655515241260714","url":null,"abstract":"This study conducts a comparison of the references and citations of two discoveries that were made simultaneously yet independently. The two discoveries, specifically ‘Inference of Population Structure Using Multilocus Genotype Data (IPSUMGD)’ and ‘Latent Dirichlet Allocation (LDA)’, are both significant academic publications in their respective fields. Although they share similar underlying concepts, they originate from different disciplines. Our objective is to analyse similarities and differences in the knowledge foundation and diffusion trajectories of these simultaneous discoveries, IPSUMGD and LDA, to further determine if a general pattern of successful innovation diffusion exists. The results indicate that the considerable similarity in the core ideas of IPSUMGD and LDA may be attributed to a strong disciplinary connection in their knowledge foundation, leading to overlapping diffusion processes. However, the divergence in thematic volatility and discipline distribution implies that IPSUMGD and LDA occupy distinct and independent diffusion spaces, which is crucial for their success. The citation cascade networks highlight the unique diffusion patterns of IPSUMGD and LDA, with IPSUMGD originating from the emergence of multiple high-impact nodes and LDA evolving through iterative innovation. The main path analysis reveals that both articles feature several key nodes in their diffusion processes, and the original authors have made substantial contributions to their long-term citation trajectories.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"72 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141786067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-25DOI: 10.1177/01655515241261057
Ruilin Zhang, Zhuanlan Sun
In the era of print reading, being selected as a cover paper holds a crucial role in attracting greater attention and bolstering academic influence. It is important to assess its effect on scholarly attention and academic influence, particularly in light of the evolving reading habits among researchers. In this study, we empirically estimate the impact of ‘being selected as a cover paper’ on scholarly online attention (proxied by altmetric score) and academic influence (measured by citation counts). This analysis is based on a data set comprising 25,238 papers selected from 10 high-impact materials science journals (with journal impact factors exceeding 10) published between 2016 and 2020. Our findings indicate a positive correlation between ‘being selected as a cover paper’ and scholarly online attention, while its impact on academic influence is insignificant. Our results remain robust even when excluding the top 1% mostly cited papers, employing the negative binomial model and considering various time windows for estimation. Heterogeneity analysis indicates that the impact of ‘being selected as a cover paper’ on scholarly online attention holds across nearly all topics, consistent with the baseline result. In addition, online platforms, such as Twitter and News outlets, exhibit a higher frequency of sharing research featured as cover papers. We offer suggestive evidence that ‘being selected as a cover paper’ is not solely contingent on its quality. These findings contribute to the development of a precise, dynamic and multi-dimensional evaluation framework, crucial for navigating the revolution of science communication.
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