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Journal articles on the topic 'Microsoft academic graph'

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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1

Wang, Kuansan, Zhihong Shen, Chiyuan Huang, Chieh-Han Wu, Yuxiao Dong, and Anshul Kanakia. "Microsoft Academic Graph: When experts are not enough." Quantitative Science Studies 1, no. 1 (2020): 396–413. http://dx.doi.org/10.1162/qss_a_00021.

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An ongoing project explores the extent to which artificial intelligence (AI), specifically in the areas of natural language processing and semantic reasoning, can be exploited to facilitate the studies of science by deploying software agents equipped with natural language understanding capabilities to read scholarly publications on the web. The knowledge extracted by these AI agents is organized into a heterogeneous graph, called Microsoft Academic Graph (MAG), where the nodes and the edges represent the entities engaging in scholarly communications and the relationships among them, respective

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Färber, Michael, and Lin Ao. "The Microsoft Academic Knowledge Graph enhanced: Author name disambiguation, publication classification, and embeddings." Quantitative Science Studies 3, no. 1 (2022): 51–98. http://dx.doi.org/10.1162/qss_a_00183.

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Abstract Although several large knowledge graphs have been proposed in the scholarly field, such graphs are limited with respect to several data quality dimensions such as accuracy and coverage. In this article, we present methods for enhancing the Microsoft Academic Knowledge Graph (MAKG), a recently published large-scale knowledge graph containing metadata about scientific publications and associated authors, venues, and affiliations. Based on a qualitative analysis of the MAKG, we address three aspects. First, we adopt and evaluate unsupervised approaches for large-scale author name disambi

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Färber, Michael, and David Lamprecht. "The data set knowledge graph: Creating a linked open data source for data sets." Quantitative Science Studies 2, no. 4 (2021): 1324–55. http://dx.doi.org/10.1162/qss_a_00161.

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Abstract Several scholarly knowledge graphs have been proposed to model and analyze the academic landscape. However, although the number of data sets has increased remarkably in recent years, these knowledge graphs do not primarily focus on data sets but rather on associated entities such as publications. Moreover, publicly available data set knowledge graphs do not systematically contain links to the publications in which the data sets are mentioned. In this paper, we present an approach for constructing an RDF knowledge graph that fulfills these mentioned criteria. Our data set knowledge gra

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Hajikhani, Arash, Lukas Pukelis, Arho Suominen, et al. "Connecting firm's web scraped textual content to body of science: Utilizing microsoft academic graph hierarchical topic modeling." MethodsX 9 (2022): 101650. http://dx.doi.org/10.1016/j.mex.2022.101650.

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Huang, Yong, Wei Lu, Jialin Liu, Qikai Cheng, and Yi Bu. "Towards transdisciplinary impact of scientific publications: A longitudinal, comprehensive, and large-scale analysis on Microsoft Academic Graph." Information Processing & Management 59, no. 2 (2022): 102859. http://dx.doi.org/10.1016/j.ipm.2021.102859.

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Angioni, Simone, Angelo Salatino, Francesco Osborne, Diego Reforgiato Recupero, and Enrico Motta. "AIDA: A knowledge graph about research dynamics in academia and industry." Quantitative Science Studies 2, no. 4 (2021): 1356–98. http://dx.doi.org/10.1162/qss_a_00162.

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Abstract Academia and industry share a complex, multifaceted, and symbiotic relationship. Analyzing the knowledge flow between them, understanding which directions have the biggest potential, and discovering the best strategies to harmonize their efforts is a critical task for several stakeholders. Research publications and patents are an ideal medium to analyze this space, but current data sets of scholarly data cannot be used for such a purpose because they lack a high-quality characterization of the relevant research topics and industrial sectors. In this paper, we introduce the Academia/In

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Manghi, Paolo, Claudio Atzori, Michele De Bonis, and Alessia Bardi. "Entity deduplication in big data graphs for scholarly communication." Data Technologies and Applications 54, no. 4 (2020): 409–35. http://dx.doi.org/10.1108/dta-09-2019-0163.

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PurposeSeveral online services offer functionalities to access information from “big research graphs” (e.g. Google Scholar, OpenAIRE, Microsoft Academic Graph), which correlate scholarly/scientific communication entities such as publications, authors, datasets, organizations, projects, funders, etc. Depending on the target users, access can vary from search and browse content to the consumption of statistics for monitoring and provision of feedback. Such graphs are populated over time as aggregations of multiple sources and therefore suffer from major entity-duplication problems. Although dedu

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Phan, Truong Ho Viet, Thanh Trung Ho, and Phuc Do. "Topic based object Influence analysis in Social networks." Science and Technology Development Journal 16, no. 4 (2013): 68–78. http://dx.doi.org/10.32508/stdj.v16i4.1586.

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In this article, we focus on researching models in social networks analysis and use them to develop the system which enables users to exactly find topics as well as necessary research of authors. In this research, we study Author – Conference – Topic (ACT) model to find out the topic relevant to users’ requirements. With each of these topics, the system will create a graph of Topical Affinity Propagation (TAP) in purpose of analyzing the topic based influence of authors. Experimental results on the corpus extracted from Microsoft Academic Research include 34,330 authors, 19,921 articles, 1,335

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Gupta, Anamika, Shikha Gupta, Mukul Bisht, Prestha Hooda, and Md Salik. "Document Co-citation Analysis using Concept Lattice." Engineering, Technology & Applied Science Research 13, no. 5 (2023): 11837–42. http://dx.doi.org/10.48084/etasr.6201.

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Document Co-citation Analysis (DCA) is a method to identify and analyze the relationships between co-cited documents. In this paper, we attempt to use concept lattice for DCA. Concept lattice is a graph structure given in Formal Concept Analysis (FCA), a branch of mathematics based on the concept and its hierarchy. The experiments are conducted on an extensive repository of citations extracted from DBLP, ACM, MAG (Microsoft Academic Graph), and other sources, having a total of 5,354,309 papers and 48,227,950 citation relationships. In this paper, it is established that the concept lattice supp

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Hoi, Huynh Tan. "FINDING OUT THE INFLUENCE OF TOPIC BASED OBJECT ACCORDING TO SOCIAL NETWORKS." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (2021): 948–53. http://dx.doi.org/10.17762/itii.v9i1.222.

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In this research paper, the author mainly focuses on researching models in social networks analysis and then use them to develop the system which is able to allow users to search right topics as well as right research papers of other authors. In this paper, the author do research on Author – Conference –Topic model for the topic relevant to users’ requirements. With each of these topics, the system will create a graph of Topical Affinity Propagation (TAP) with the aim to analyze the topics based influence of authors. The results on the corpus extracted from Microsoft Academic Research in

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Dong, Shuyi, Jin Mao, and Lei Pei. "Comparing the Writing Styles of Multiple Disciplines: A Large‐Scale Quantitative Analysis." Proceedings of the Association for Information Science and Technology 60, no. 1 (2023): 941–43. http://dx.doi.org/10.1002/pra2.905.

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ABSTRACTInvestigating the writing styles of different disciplines is crucial for comprehending the scientific language in scholarly communication. This study examines the variations in scientific writing styles across disciplines using a large‐scale analysis on 14 million abstracts from the Microsoft Academic Graph database. Writing styles are quantified in four aspects: symbolic, lexical, syntactic, and readability. The t‐tests were employed to explore potential trends in the evolution of writing style and investigate linguistic differences across disciplines. Results indicate an overall tren

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Feng, Yufan, Shuo Yu, Kaiyuan Zhang, Xiangli Li, and Zhaolong Ning. "COMICS: a community property-based triangle motif clustering scheme." PeerJ Computer Science 5 (March 11, 2019): e180. http://dx.doi.org/10.7717/peerj-cs.180.

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With the development of science and technology, network scales of various fields have experienced an amazing growth. Networks in the fields of biology, economics and society contain rich hidden information of human beings in the form of connectivity structures. Network analysis is generally modeled as network partition and community detection problems. In this paper, we construct a community property-based triangle motif clustering scheme (COMICS) containing a series of high efficient graph partition procedures and triangle motif-based clustering techniques. In COMICS, four network cuttingcond

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Shemilt, Ian, Anneliese Arno, James Thomas, et al. "Cost-effectiveness of Microsoft Academic Graph with machine learning for automated study identification in a living map of coronavirus disease 2019 (COVID-19) research." Wellcome Open Research 6 (August 19, 2021): 210. http://dx.doi.org/10.12688/wellcomeopenres.17141.1.

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Background: Conventionally, searching for eligible articles to include in systematic reviews and maps of research has relied primarily on information specialists conducting Boolean searches of multiple databases and manually processing the results, including deduplication between these multiple sources. Searching one, comprehensive source, rather than multiple databases, could save time and resources. Microsoft Academic Graph (MAG) is potentially such a source, containing a network graph structure which provides metadata that can be exploited in machine learning processes. Research is needed t

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Razis, Gerasimos, Ioannis Anagnostopoulos, and Hong Zhou. "Rating the Dominance of Concepts in Semantic Taxonomies." Computers 11, no. 3 (2022): 35. http://dx.doi.org/10.3390/computers11030035.

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The descriptive concepts of “semantic” taxonomies are assigned to content items of the publishing domain for supporting a plethora of operations, mostly regarding the organization and discoverability of the content, as well as for recommendation tasks. However, either not all publishers rely on such structures, or in many cases employ their own proprietary taxonomies, thus the content is either difficult to be retrieved by the end users or stored in publisher-specific fragmented “data-silos”, respectively. To address these issues, the modular and scalable “Dominance Metric” methodology is prop

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Panda, Subhajit, and Navkiran Kaur. "Citationchaser: A tool for citation chasing in academic searching." IP Indian Journal of Library Science and Information Technology 9, no. 2 (2024): 82–87. https://doi.org/10.18231/j.ijlsit.2024.014.

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This review evaluates the Citationchaser tool as a research support application for systematic reviews, specifically focusing on its functionality and reliability in citation chasing. Citation chasing, a valuable technique in evidence synthesis, enables researchers to trace references backward (articles cited by a work) and forward (articles citing a work). This study highlights Citationchaser’s contribution to making these processes efficient and accessible. The review evaluates Citationchaser's performance by examining its dependency on the Lens.org database and comparing its citation-chasin

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Zhang, Dongyu, Minghao Zhang, Ciyuan Peng, Jason Jung, and Feng Xia. "Metaphor research in the 21st century: A bibliographic analysis." Computer Science and Information Systems, no. 00 (2020): 59. http://dx.doi.org/10.2298/csis201109059z.

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Metaphor is widely used in human communication. The cohort of scholars studying metaphor in various fields is continuously growing, but very few work has been done in bibliographical analysis of metaphor research. This paper examines the advancements in metaphor research from 2000 to 2017. Using data retrieved from Microsoft Academic Graph and Web of Science, this paper makes a macro analysis of metaphor re search, and expounds the underlying patterns of its development. Taking into consideration sub-fields of metaphor research, the internal analysis of metaphor research is carried out from a

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Panda, Subhajit, and Navkiran Kaur. "Citationchaser: a Tool for Citation Chasing in Academic Searching." IP Indian Journal of Library Science and Information Technology 9, no. 2 (2024): 74–79. https://doi.org/10.18231/j.ijlsit.2024.014.

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<strong>Purpose:</strong> This review evaluates the Citationchaser tool as a research support application for systematic reviews, specifically focusing on its functionality and reliability in citation chasing. Citation chasing, a valuable technique in evidence synthesis, enables researchers to trace references backward (articles cited by a work) and forward (articles citing a work). This study highlights Citationchaser’s contribution to making these processes efficient and accessible.<strong>Design/Methodology/Approach: </strong>The review evaluates Citationchaser's performance

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Shemilt, Ian, Anneliese Arno, James Thomas, et al. "Cost-effectiveness of Microsoft Academic Graph with machine learning for automated study identification in a living map of coronavirus disease 2019 (COVID-19) research." Wellcome Open Research 6 (March 26, 2024): 210. http://dx.doi.org/10.12688/wellcomeopenres.17141.2.

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Background Identifying new, eligible studies for integration into living systematic reviews and maps usually relies on conventional Boolean updating searches of multiple databases and manual processing of the updated results. Automated searches of one, comprehensive, continuously updated source, with adjunctive machine learning, could enable more efficient searching, selection and prioritisation workflows for updating (living) reviews and maps, though research is needed to establish this. Microsoft Academic Graph (MAG) is a potentially comprehensive single source which also contains metadata t

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Berditchevskaia, Aleks, Eirini Maliaraki, and Konstantinos Stathoulopoulos. "A descriptive analysis of collective intelligence publications since 2000, and the emerging influence of artificial intelligence." Collective Intelligence 1, no. 1 (2022): 263391372211079. http://dx.doi.org/10.1177/26339137221107924.

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Collective intelligence (CI) is an interdisciplinary field that draws on a wide range of academic disciplines but has struggled to capitalise on cross-pollination between fields, particularly ones which do not self-identify with the collective intelligence label. Past studies have largely undertaken a qualitative and manual approach to classifying different trends in the CI literature. This method risks missing a significant proportion of publications in the field. To this end, we present the first attempt to reflect the field to itself through an automated and quantitative descriptive approac

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Chaignon, Lauranne, and Daniel Egret. "Identifying scientific publications countrywide and measuring their open access: The case of the French Open Science Barometer (BSO)." Quantitative Science Studies 3, no. 1 (2022): 18–36. http://dx.doi.org/10.1162/qss_a_00179.

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Abstract We use several sources to collect and evaluate academic scientific publication on a country-wide scale, and we apply it to the case of France for the years 2015–2020, while presenting a more detailed analysis focused on the reference year 2019. These sources are diverse: databases available by subscription (Scopus, Web of Science) or open to the scientific community (Microsoft Academic Graph), the national open archive HAL, and databases serving thematic communities (ADS and PubMed). We show the contribution of the different sources to the final corpus. These results are then compared

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Tang, Xuli, Xin Li, and Ming Yi. "Exploring How Acquired Diversity of Teams Influences the Innovation Diffusion in Artificial Intelligence." Proceedings of the Association for Information Science and Technology 61, no. 1 (2024): 656–60. http://dx.doi.org/10.1002/pra2.1075.

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ABSTRACTThis study explores innovation diffusion in Artificial Intelligence (AI) over the past 70 years, focusing on the impact of acquired diversity(including discipline diversity and topic diversity) of teams. We obtained 906,065 AI papers with 18,357,761 citations written by 1,316,936 authors between 1950 and 2015 from the Microsoft Academic Graph. Using citation analysis, we examine how AI innovations spread and the influence of the acquired diversity of teams on this process. We measure innovation diffusion from four aspects: innovation speed, innovation diffusion power, innovation diffus

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Saier, Tarek, and Michael Färber. "unarXive: a large scholarly data set with publications’ full-text, annotated in-text citations, and links to metadata." Scientometrics 125, no. 3 (2020): 3085–108. http://dx.doi.org/10.1007/s11192-020-03382-z.

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AbstractIn recent years, scholarly data sets have been used for various purposes, such as paper recommendation, citation recommendation, citation context analysis, and citation context-based document summarization. The evaluation of approaches to such tasks and their applicability in real-world scenarios heavily depend on the used data set. However, existing scholarly data sets are limited in several regards. In this paper, we propose a new data set based on all publications from all scientific disciplines available on arXiv.org. Apart from providing the papers’ plain text, in-text citations w

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Zhang, Li, Yong Huang, Jinqing Yang, and Wei Lu. "Aggregating large-scale databases for PubMed author name disambiguation." Journal of the American Medical Informatics Association 28, no. 9 (2021): 1919–27. http://dx.doi.org/10.1093/jamia/ocab095.

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Abstract Objective PubMed has suffered from the author ambiguity problem for many years. Existing studies on author name disambiguation (AND) for PubMed only used internal metadata for development. However, some of them are incomplete (eg, a large number of names are only abbreviated and their full names are not available) or less discriminative. To this end, we present a new disambiguation method, namely AggAND, by aggregating information from external databases. Materials and Methods We address this issue by exploring Microsoft Academic Graph, Semantic Scholar, and PubMed Knowledge Graph to

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Jung, Sukhwan, and Aviv Segev. "Analyzing the generalizability of the network-based topic emergence identification method." Semantic Web 13, no. 3 (2022): 423–39. http://dx.doi.org/10.3233/sw-212951.

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Topic evolution helps the understanding of current research topics and their histories by automatically modeling and detecting the set of shared research fields in academic publications as topics. This paper provides a generalized analysis of the topic evolution method for predicting the emergence of new topics, which can operate on any dataset where the topics are defined as the relationships of their neighborhoods in the past by extrapolating to the future topics. Twenty sample topic networks were built with various fields-of-study keywords as seeds, covering domains such as business, materi

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Sanni-Anibire, Muizz O., Mohammad A. Hassanain, Abubakar Sadiq Mahmoud, and Wahhaj Ahmed. "An evaluation of the functional performance of research and academic laboratories using the space syntax approach." International Journal of Building Pathology and Adaptation 36, no. 5 (2018): 516–28. http://dx.doi.org/10.1108/ijbpa-04-2018-0028.

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Purpose University research and academic laboratory facilities are key elements in the support of a successful education and research experience. World-class universities consider the functionality of these facilities as a matter of high priority. The functionality of research and academic laboratory facilities is strongly linked to the productivity of students, teachers and researchers who use these facilities. Thus, the purpose of this paper is to evaluate the functional performance of eight university laboratories using the space syntax approach. Design/methodology/approach The methodology

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Ortega, José Luis. "El movimiento Open Citations y sus implicaciones en la transformación de la evaluación científica." Arbor 197, no. 799 (2021): a592. http://dx.doi.org/10.3989/arbor.2021.799007.

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El presente trabajo pretende hacer una revisión del naciente movimiento Open Citations, el cual aboga por la libre disposición de las citas bibliográficas incluidas en cada contribución científica. Este movimiento, enmarcado dentro de corrientes más generales como Open Data y Open Access, busca de esta forma que las citas bibliográficas sean un bien común para la comunidad científica, reforzando el desarrollo de la investigación bibliométrica y la construcción de sistemas de información científica autóctonos. Este cambio está suponiendo una revolución en el mercado de la documentación científi

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Chuang, Chien-Wei, Ariana Chang, Mingchih Chen, Maria John P. Selvamani, and Ben-Chang Shia. "A Worldwide Bibliometric Analysis of Publications on Artificial Intelligence and Ethics in the Past Seven Decades." Sustainability 14, no. 18 (2022): 11125. http://dx.doi.org/10.3390/su141811125.

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Issues related to artificial intelligence (AI) and ethics have gained much traction worldwide. The impact of AI on society has been extensively discussed. This study presents a bibliometric analysis of research results, citation relationships among researchers, and highly referenced journals on AI and ethics on a global scale. Papers published on AI and ethics were recovered from the Microsoft Academic Graph Collection data set, and the subject terms included “artificial intelligence” and “ethics.” With 66 nations’ researchers contributing to AI and ethics research, 1585 papers on AI and ethic

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Shelepaeva, Albina Kh. "Digital transformation: basic approaches to defining the notion." RUDN Journal of Informatization in Education 19, no. 1 (2022): 20–28. http://dx.doi.org/10.22363/2312-8631-2022-19-1-20-28.

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Problem statement. Changes in society in connection with the diversity of the use of information and communication technologies, has led to the active use of the concept of digital transformation. A complex polysemic notion describes a multifactorial phenomenon, which necessitates an interdisciplinary approach to the analysis of the concepts content. Methodology. This study used bibliometric analysis of the Russian electronic database with built-in analysis tools. The quantitative and qualitative characteristics of open sources on the topic of Digitalization of education were analyzed using cl

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Honti, Gergely, and János Abonyi. "Frequent Itemset Mining and Multi-Layer Network-Based Analysis of RDF Databases." Mathematics 9, no. 4 (2021): 450. http://dx.doi.org/10.3390/math9040450.

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Triplestores or resource description framework (RDF) stores are purpose-built databases used to organise, store and share data with context. Knowledge extraction from a large amount of interconnected data requires effective tools and methods to address the complexity and the underlying structure of semantic information. We propose a method that generates an interpretable multilayered network from an RDF database. The method utilises frequent itemset mining (FIM) of the subjects, predicates and the objects of the RDF data, and automatically extracts informative subsets of the database for the a

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Biloshchytskyi, Andrii, Oleksandr Kuchanskyi, Aidos Mukhatayev, et al. "Application of Time-Weighted PageRank Method with Citation Intensity for Assessing the Recent Publication Productivity and Partners Selection in R&D Collaboration." Publications 12, no. 4 (2024): 48. https://doi.org/10.3390/publications12040048.

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This article considers the problem of assessing the recent publication productivity of scientists based on PageRank class methods and proposes to use these assessments to solve the problem of selecting scientific partners for R&D projects. The methods of PageRank, Time-Weighted PageRank, and the Time-Weighted PageRank method with Citation Intensity (TWPR-CI) were used as a basis for calculating the publication productivity of individual subjects or scientists. For verification, we used the Citation Network Dataset (Ver. 14) of more than 5 million STEM publications with 36 million citations

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Panagopoulos, George, Fragkiskos D. Malliaros, and Michalis Vazirgianis. "Influence Maximization Using Influence and Susceptibility Embeddings." Proceedings of the International AAAI Conference on Web and Social Media 14 (May 26, 2020): 511–21. http://dx.doi.org/10.1609/icwsm.v14i1.7319.

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Finding a set of users that can maximize the spread of information in a social network is an important problem in social media analysis — being a critical part of several real-world applications such as viral marketing, political advertising and epidemiology. Although influence maximization has been studied extensively in the past, the majority of works focus on the algorithmic aspect of the problem, overlooking several practical improvements that can be derived by data-driven observations or the inclusion of machine learning. The main challenges of realistic influence maximization is on the o

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Af’idah, Dwi Intan, Sharfina Febbi Handayani, Riszki Wijayatun Pratiwi, Dairoh Dairoh, Nurul Arifiah Gunarsih, and Achmad Miftahudin. "PENINGKATAN KEMAMPUAN MICROSOFT OFFICE ADVANCE PADA PENULISAN LAPORAN DAN PEMBUATAN MODUL PEMBELAJARAN." JMM (Jurnal Masyarakat Mandiri) 6, no. 3 (2022): 1840. http://dx.doi.org/10.31764/jmm.v6i3.7799.

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Abstrak: Pemanfaatan fitur otomatis dalam Microsoft Office diperlukan dalam membantu pembuatan laporan seperti membuat daftar isi, daftar tabel, daftar gambar, pembuatan indeks, pembuatan sitasi secara otomatis dll. Faktanya masih ditemukan akademisi yang belum optimal menggunakan otomatisasi fitur Microsoft Word dan lebih memilih cara manual. Sebagai contoh dalam penyusunan laporan ilmiah, masih ditemukan penggunaan gaya referensi yang tidak konsisten dan masih mengurutkan secara manual, pembuatan diagram dan grafik untuk menggambarkan hasil desain tidak menggunakan Microsoft Visio sebagai me

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Khoirunnisa, Amalia, and Sri Hartoko. "Peran Artificial Intelligence ChatGPT dalam Akuntansi: Analisis Bibliometrik." Prosiding Seminar Nasional KONSTELASI 2, no. 1 (2025): 355–64. https://doi.org/10.24002/prosidingkonstelasi.v2i1.11160.

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This research aims to examine the role of ChatGPT-based artificial intelligence in accounting. This research utilizes bibliometric analysis involving 204 articles. Data was obtained from major academic databases such as Scopus and Web of Science, covering publications from 2023 to 2025. In this study, a total of 204 articles were analyzed to identify research trends, leading journal sources, most prolific authors, collaboration between countries, and the most frequently discussed themes and topics. Data collection in this study was by direct observation of articles using bibliometric analysis

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Shakiroh Khamis, Mazida Ahmad, Azizah Ahmad, et al. "Knowledge Visualization of Internet Usage Pattern to Improve Students’ Academic Performance Using Prescriptive Analytic." Journal of Advanced Research in Applied Sciences and Engineering Technology 48, no. 1 (2024): 283–98. http://dx.doi.org/10.37934/araset.48.1.283298.

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The knowledge discovery from graphical graphs could be challenging. Most of the time, the visual analysis cannot be done solely based on naked eyes interpretation. Therefore, knowledge visualization is vital to assist the process, especially in business intelligence and analytics to improve data insights and cognitive abilities. To effectively facilitate knowledge discovery from visual graphs, different analytical techniques should be explored in analyzing and visualizing the datasets. This study proposes an intelligent system to discover hidden knowledge from educational data by using interac

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Vasconcellos, J. M. A., and R. G. Latorre. "BOAT-2000 Database: Market Study and Aid to Power and Sailboat Design." Marine Technology and SNAME News 37, no. 02 (2000): 79–87. http://dx.doi.org/10.5957/mt1.2000.37.2.79.

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This paper presents the BOAT-2000 database* organization. Its applications in market study as well as power and sailboats design are used to show the system capability for integrated design. BOAT-2000 is not a commercial system and was created to integrate recreational boat information and commercial design software for academic research. The BOAT-2000 aim is to join in a database the useful information on sail and powerboat design, manufacturers, equipment and test results. The database includes also specific naval architecture software and others functional software's. BOAT-2000 was develope

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Chanda, Chansa Thelma, Nakalonga Mubemba Brian, and Chitondo Lufeyo. "Social media and pupils' academic performance: A case of selected secondary schools in Lusaka District, Zambia." World Journal of Advanced Research and Reviews 20, no. 1 (2023): 1028–35. https://doi.org/10.5281/zenodo.12512584.

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Social media is a collective term for websites and applications focusing on communication, community-based input, interaction, content-sharing, and collaboration. People use social media to stay in touch and interact with friends, family, and various communities. Today, social media has been commonly used by everyone, especially young people and schools are getting into this modern medium of communication rapidly. However, social media has dragged youngsters, especially pupils into it to the extent that it fritters away their valuable time meant for studies, energy, and money. From this backgr

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Oliver, Édgar. "Student assessment of their mathematical education in a postgraduate course in administration." Apertura 15, no. 2 (2023): 36–53. http://dx.doi.org/10.32870/ap.v15n2.2413.

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The objective of the research was to assess student satisfaction regarding their mathematical education in a postgraduate course in administration based on remote teaching during the covid-19 pandemic. The research approach was mixed with a sequential exploratory design. A questionnaire was developed and administered to 65 participants about the type of technological devices used, the challenges faced, and students’ assessment of their level of mathematical education. The results showed that students acknowledged experienced logistical, emotional, and academic challenges during the emergency p

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ELGHAZI, Essaid, and Abdallah GHAICHA. "An Evaluation of the Literature and Scientific Streams National Baccalaureate Exam Main Sessions’ Writing Construct: 2014 to 2018 Academic Years." British Journal of Teacher Education and Pedagogy 3, no. 2 (2024): 87–112. http://dx.doi.org/10.32996/bjtep.2024.3.2.9.

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The dearth of research studies on EFL assessment in Morocco, as well as the proliferating concerns of EFL in-service practitioners about the quality of the National Baccalaureate Exam of English as a whole, contributed to the Evaluation of the Literature and Scientific Streams National Baccalaureate Exam Main Sessions’ Writing Construct between 2014 and 2018, as 2014 is the launch date of a novel guiding guidelines of the National Baccalaureate Exam, a phase that encompasses the inception of the Strategic Vision of the educational system 2015-2030. Henceforth, four objectives were set to lead

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Enock, Ttendo, and Ounyesiga Living. "Influence of Parental Educational Background on Student Academic Performance in Selected Schools in Makindye Division, Kampala Uganda." NEWPORT INTERNATIONAL JOURNAL OF RESEARCH IN EDUCATION 5, no. 1 (2025): 27–37. https://doi.org/10.59298/nijre/2025/51273700.

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This study investigates the influence of parental educational background on student academic performance in Makindye Division, Kampala District. The research aims to elucidate the relationship between parents’ educational levels and their children’s academic success, focusing on both public and private primary and secondary schools. The study employed a case study research design, selecting a sample of 240 students and their parents from five schools in Makindye Division. Data was collected through questionnaires and interviews, complemented by Focus Group Discussions (FGDs) to gather comprehe

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Martins, Carlos Henrique Lopes, Gabriela Elenor dos Santos Lima, Carla Viana Dendasck, Ciane Martins de Oliveira, and Euzébio de Oliveira. "Evaluation of the perception of medical students about medical genetics during the course and professional life, in a University Center Of Belém, Pará, Amazônia." Núcleo do Conhecimento 11, no. 03 (2021): 63–77. https://doi.org/10.32749/nucleodoconhecimento.com.br/health/medical-genetics.

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The discipline Genetics has a fundamental role in the academic and professional training of medical students. Thus, it is necessary that their perception be regular or good during the basic, clinical and boarding cycles of the course, so that good professional conduct can be based and to condition impulses to the patient's health. The main objective of the study is to evaluate the perception of the students of the Medical School on Medical Genetics during the course and professional life, in a University Center of Belém, Pará, Amazônia. This is a quantitative research, where a questionnaire wa

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Chanda Chansa Thelma. "Academic performance of learners at co- and single sex schools: A case of selected Secondary Schools in Kasama District of Northern Province, Zambia." World Journal of Advanced Research and Reviews 19, no. 2 (2023): 1474–83. http://dx.doi.org/10.30574/wjarr.2023.19.2.1761.

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Single-sex education, also known as single-gender education is the practice of conducting education with male and female students attending separate classes, perhaps in separate buildings or schools. The study on single sex and learner’s academic performance in secondary schools in Kasama sought to determine the extent to which coeducation schools affect male and female students’ academic performance and to establish students’ and teachers’ attitude on effects of sex on the academic performance of learners. To achieve this, the study employed documentary search and analysis on results from 201

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Chanda, Chansa Thelma. "Academic performance of learners at co- and single sex schools: A case of selected Secondary Schools in Kasama District of Northern Province, Zambia." World Journal of Advanced Research and Reviews 19, no. 2 (2023): 1474–83. https://doi.org/10.5281/zenodo.10852879.

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Single-sex education, also known as single-gender education is the practice of conducting education with male and female students attending separate classes, perhaps in separate buildings or schools. The study on single sex and learner’s academic performance in secondary schools in Kasama sought to determine the extent to which coeducation schools affect male and female students’ academic performance and to establish students’ and teachers’ attitude on effects of sex on the academic performance of learners. To achieve this, the study employed documentary search and anal

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Chanda Chansa Thelma, Brian Nakalonga Mubemba, and Lufeyo Chitondo. "Social media and pupils’ academic performance: A case of selected secondary schools in Lusaka District, Zambia." World Journal of Advanced Research and Reviews 20, no. 1 (2023): 1028–35. http://dx.doi.org/10.30574/wjarr.2023.20.1.2178.

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Social media is a collective term for websites and applications focusing on communication, community-based input, interaction, content-sharing, and collaboration. People use social media to stay in touch and interact with friends, family, and various communities. Today, social media has been commonly used by everyone, especially young people and schools are getting into this modern medium of communication rapidly. However, social media has dragged youngsters, especially pupils into it to the extent that it fritters away their valuable time meant for studies, energy, and money. From this backgr

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Sukha, Kamal, and Mzubanzi Mabongo. "Audit of the workload in a maxillofacial and oral surgical unit in Johannesburg." South African Dental Journal 76, no. 04 (2021): 194–200. http://dx.doi.org/10.17159/10.17159/2519-0105/2021/v76no4a3.

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Maxillofacial and oral surgical (MFOS) audits are able to provide data to both current and prospective patients regarding the quality of care an institution is capable of providing. The more frequently performed MFOS procedures can be determined and the allocation of funding and resources can therefore be achieved more appropriately. To conduct an audit to evaluate the workload and scopeof practice of the MFOS unit of the Charlotte Maxeke Johannesburg Academic Hospital (CMJAH) for the year 2015 by quantifying MFOS conditions and the respective treatment modalities. The study was retrospective

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Kikwato, Kakyofwa Fredson, H. Mwanapabu Neroh, and Chansa Thelma Chanda. "Exploring the Continuous Assessment Activities and Learners' Academic Performance: A Case of Selected Secondary Schools in Solwezi District of North-Western Province, Zambia." International Journal of Novel Research in Education and Learning 10, no. 6 (2023): 42–59. https://doi.org/10.5281/zenodo.10394528.

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<strong>Abstract:</strong> The purpose of the study was to explore continuous assessment activities and learners’ academic performance: A case of six selected secondary schools in Solwezi District of North-Western province. The objectives of the study were: (1) To identify the types of continuous assessment activities undertaken in selected secondary schools in Solwezi District; (2) To determine the extent to which Headteachers support continuous assessment activities in selected secondary schools in Solwezi District; (3) To establish challenges faced by schools in undertaking the contin

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Lillian, Lufupa, Brian Nakalonga Mubemba, and Chanda Chansa Thelma. "Teacher Recruitment and Selection Process: A Case of Selected International Secondary Schools in Lusaka District, Zambia." International Journal of Research 11, no. 7 (2024): 192–214. https://doi.org/10.5281/zenodo.12786611.

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<strong><em>Overview</em></strong><em>: This study was designed to investigate teacher recruitment and selection process in selected international secondary schools in Lusaka, Zambia with specific reference to its impact. </em> <strong><em>Body of Knowledge</em></strong><em>: The study delves into the methodologies and practices adopted to attract, evaluate, and hire educators. It explores the criteria used to assess candidates' qualifications, competencies, and suitability for the roles within these institutions. The study investigated the balance between academic credentials, teaching experi

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Jean Bernard Ndayambaje, Etienne Bikorimana, and Florien Nsanganwimana. "Factors contributing to the students’ poor performance in biology subject: A case study of ordinary level in rural secondary schools of Rwamagana district." GSC Biological and Pharmaceutical Sciences 15, no. 3 (2021): 249–61. http://dx.doi.org/10.30574/gscbps.2021.15.3.0163.

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This study explored the factors contributing to the students’ poor performance in Biology subject. By using qualitative method design, sample were chosen purposefully from two secondary schools in rural area of Rwamagana district. The schools were selected on the fact that the students were characterized by poor performance in Biology in the years 2017 and 2018. The participants of the study were both ordinary level learners, ordinary level Biology teachers, Deputy Head teachers and Head teachers. Open-ended questionnaires, interview and documents review were both utilized to gather the data.

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Alrabah, Sulaiman, Shu-hua Wu, and Abdullah M. Alotaibi. "The Learning Styles and Multiple Intelligences of EFL College Students in Kuwait." International Education Studies 11, no. 3 (2018): 38. http://dx.doi.org/10.5539/ies.v11n3p38.

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The study aimed to investigate the learning styles and multiple intelligences of English as foreign language (EFL) college-level students. “Convenience sampling” (Patton, 2015) was used to collect data from a population of 250 students enrolled in seven different academic departments at the College of Basic Education in Kuwait. The data elicitation instrument was derived from two standardized surveys: one on learning styles (Oxford, 1998) and one on multiple intelligences (Christison, 1998). Data collection utilized the Google Forms interface to facilitate participants’ access and responses to

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Asmawanti-S, Dri, and Melin Soya. "Analisis Bibliometrik Good Government Governance di Indonesia dari Tahun 2015-2020." Monex Journal Research Accounting Politeknik Tegal 12, no. 1 (2023): 21–38. http://dx.doi.org/10.30591/monex.v12i1.3760.

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This study aims to map the research topics carried out by “Good Government Governance” researchers. Identify some research variations in terms of keyword, definitions, theories, methodologies, citation, publication year, and research result. Also, provide suggestions for further research. The data used are secondary data. The number of samples in this study were 58 articles about “Good Government Governance”. The data collection technique used the literature study technique in the form of direct observation of articles and books with the bibliometric analysis method using three special applica

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Correa, Mirna Yéssica Brasil, Mygre Lopes Da Silva, Paulo Vanderlei Cassanego Júnior, and Gabriela Cappellari. "Exploring Sustainability: Systematic Review of Models and Approaches For Implementing Sustainable Supply Chains." Revista de Gestão Social e Ambiental 19, no. 1 (2025): e010975. https://doi.org/10.24857/rgsa.v19n1-125.

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Objective: To identify and analyze the main models and approaches proposed in academia for the implementation of sustainable supply chains. Theoretical Framework: This study is grounded in the concepts of Supply Chain Management, Strategy, and Sustainability. Method: The principles of the Systematic Literature Review (SLR) were used for data compilation, employing the software HistCite™, Microsoft Excel, IRAMUTEQ, and VOSviewer. The analyses were based on the three classic laws of bibliometrics and content analysis was performed. Results and Discussion: A total of 1,870 articles were retrieved

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