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Journal articles on the topic 'HyperlinkInduced Topic Search (HITS)'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

John, Vaseekaran, and Srinivasan N. "A Repartitioning Temporary Customized Model for Interest-Point Recommendations with Hyperlink-Induced Topic Search." Indian Journal of Science and Technology 16, no. 5 (2023): 339–47. https://doi.org/10.17485/IJST/v16i5.1996.

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ABSTRACT <strong>Objectives:</strong> To determine the significance of each object (node) in a graph, researchers often employ link analysis techniques, such as the Hyperlink- Induced Topic Search (HITS) algorithm. This will be performed for several reasons, including analyzing the confidentiality of social networks and optimizing search results based on the hierarchical nature of the Internet’s interconnections. <strong>Methods:</strong> This work proposes a new version of HITS called the Boundary grading HITS method (BG-HITS). We offer a technique for calculating edge we

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Ma, Rui Xin, Gui Shi Deng, and Xiao Wang. "Improvement and Optimization of HITS in Web Mining." Advanced Materials Research 187 (February 2011): 728–34. http://dx.doi.org/10.4028/www.scientific.net/amr.187.728.

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This paper combines text and link analysis together, analyzes every single page’s recent reference amplification, proposes a mixed weight HITS algorithm. From the comparison we can see, the results of the improved algorithm effectively restrains the topic deviation phenomenon and efficiently increases the search veracity.

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Yan, Zhijia, Wenting Yang, Xiaoling Huang, Xiangrong Shi, and Wenyu Zhang. "A Reputation-Enhanced Hybrid Approach for Supplier Selection with Intuitionistic Fuzzy Evaluation Information." Mathematics 7, no. 3 (2019): 298. http://dx.doi.org/10.3390/math7030298.

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Selecting optimal suppliers in fuzzy environments has become a major challenge for enterprises. Reputation plays an important role in the process of supplier selection because of its fuzziness, dynamicity, and transitivity. In this study, we first present a novel intuitionistic fuzzy sets (IFS)-hyperlink-induced topic search (HITS) method that combines the intuitionistic fuzzy set with the hyperlink-induced topic search (HITS) algorithm to extend the ability of processing fuzzy information in order to obtain post-propagated reputation values of suppliers. Then, we employ the dynamic intuitioni

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Zhan, Hua Qun. "A Improved Topics Search Algorithm Based on PSO Strategy for Web Mining." Key Engineering Materials 439-440 (June 2010): 1481–86. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.1481.

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HITS algorithm assigns same weight to links between Web pages,which results in topic drift. In this paper,a new focused crawling approach based on PSO Algorithm is proposed（PSOHITS）. The method electively seeks out pages that are relevant to a pre-defined set of topics using PSO Algorithm,increases the crawling chance of the web page following the web page with the low content-relevance,and broadens the relevant-searching scope of crawlers.Meanwhile,the hyperlink metadata is used to predict the topic-relevance of the web page pointed and quickens the information crawling. Experiments show that

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PEDERSEN, BOLETTE SANDFORD. "Using shallow linguistic analysis to improve search on Danish compounds." Natural Language Engineering 13, no. 1 (2006): 75–90. http://dx.doi.org/10.1017/s1351324906004256.

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In this paper we focus on a specific search-related query expansion topic, namely search on Danish compounds and expansion to some of their synonymous phrases. Compounds constitute a specific issue in search, in particular in languages where they are written in one word, as is the case for Danish and the other Scandinavian languages. For such languages, expansion of the query compound into separate lemmas is a way of finding the often frequent alternative synonymous phrases in which the content of a compound can also be expressed. However, it is crucial to note that the number of irrelevant hi

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Badia, Giovanna. "Google Scholar Out-Performs Many Subscription Databases when Keyword Searching." Evidence Based Library and Information Practice 5, no. 3 (2010): 39. http://dx.doi.org/10.18438/b8d328.

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A Review of: Walters, W. H. (2009). Google Scholar search performance: Comparative recall and precision. portal: Libraries and the Academy, 9(1), 5-24.  Objective – To compare the search performance (i.e., recall and precision) of Google Scholar with that of 11 other bibliographic databases when using a keyword search to find references on later-life migration.  Design – Comparative database evaluation.  Setting – Not stated in the article. It appears from the author’s affiliation that this research took place in an academic institution of higher learn

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Vaseekaran, John, and Dr N. Srinivasan. "Hyperlink Induced Topic Search Model Together with Automatic Feature Review for Smartphone Applications." Journal of University of Shanghai for Science and Technology 23, no. 06 (2021): 12191–235. http://dx.doi.org/10.51201/jusst/21/05409.

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The demand for smartphone apps has grown with the rising interest in artificial intelligence. Thanks to a vast number of applicant service applications, choosing the smartphone apps you want to use has been very complex for consumers. It is therefore essential that the customer interface is improved and that individual suggestions are made. Conventional recommendation approaches can in some cases be effective but have some drawbacks, which generally lead to unreliable recommendations. This study provides a basis for recommending smartphone applications, which is built on the algorithm of Hyper

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Priyanka, R., and G. S. Megha. "Using Machine Learning To Build A Search Engine." Journal of Advance Research in Mobile Computing 3, no. 2 (2021): 1–5. https://doi.org/10.5281/zenodo.5215150.

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The Internet is a massive server and the most preferred abundant data source. We use search engine as a popular method to retrieve information from the internet. A search engine is a website through which users can search the content of the Internet. It is one of the primary ways that internet users find to obtain suitable information. Now a days search engine providers grows in popularity because they offer increased accuracy and extra functionality which is not possible in the general. Searching for information on the internet differs in several ways. In this paper we propose Page Ranking (P

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Zhao, Li Dong, Sheng Hui Liu, and Qing Chai. "A Novel Improved Web Structure Mining Algorithm." Applied Mechanics and Materials 121-126 (October 2011): 3741–44. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.3741.

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In this paper, a compact and effective web structure mining algorithm is developed according to the hypertext induced topic search (HITS). Firstly, the environments of traditional web structure mining are explored. Secondly, by analyzing the existing techniques, the existing problem and the lack of previous methods are explored. Finally, amid to overcome the deficiency of the traditional method, the paper introduced the time parameter and proposed a novel web structure mining algorithm. It turns out that the proposed algorithm has better effective and accuracy compared to the traditional metho

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Cheng, Xian, Liao Stephen Shaoyi, and Zhongsheng Hua. "Measuring the systemic importance of interconnected industries in the world economic system." Industrial Management & Data Systems 117, no. 1 (2017): 110–30. http://dx.doi.org/10.1108/imds-10-2015-0442.

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Purpose The purpose of this paper is to measure the systemic importance of industry in the world economic system under the system-wide event – the crisis of 2008-2009, by viewing this system as a weighted directed network of interconnected industries. Design/methodology/approach First, the authors investigate this crisis at three different levels based on network-related indicators: the “macro” global level, the “meso” country level, and the “micro” industry level. This investigation not only provides evidence for the systemic influence, that is, systemic risk, of the crisis, but also reveals

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Lei, Xiujuan, Siguo Wang, and Fang-Xiang Wu. "Identification of Essential Proteins Based on Improved HITS Algorithm." Genes 10, no. 2 (2019): 177. http://dx.doi.org/10.3390/genes10020177.

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Essential proteins are critical to the development and survival of cells. Identifying and analyzing essential proteins is vital to understand the molecular mechanisms of living cells and design new drugs. With the development of high-throughput technologies, many protein–protein interaction (PPI) data are available, which facilitates the studies of essential proteins at the network level. Up to now, although various computational methods have been proposed, the prediction precision still needs to be improved. In this paper, we propose a novel method by applying Hyperlink-Induced Topic Search (

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Fridberg, M., M. Bue, J. Duedal Rölfing, S. Kold, and A. Ghaffari. "HOST FACTORS AND RISK OF PIN SITE INFECTION IN EXTERNAL FIXATION: A LITERATURE REVIEW EXAMINING AGE, BODY MASS INDEX, SMOKING, AND COMORBIDITIES INCLUDING DIABETES." Orthopaedic Proceedings 105-B, SUPP_7 (2023): 10. http://dx.doi.org/10.1302/1358-992x.2023.7.010.

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An international Consensus Group has by a Delphi approach identified the topic of host factors affecting pin site infection to be one of the top 10 priorities in external fixator management. The aim of this study was to report the frequency of studies reporting on specific host factors as a significant association with pin site infection. Host factors to be assessed was: age, smoking, BMI and any comorbidity, diabetes, in particular. The intention was an ethological review, data was extracted if feasible, however no meta-analysis was performed.A systematic literature search was performed accor

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Fu, Gaoshan, Xiang Yin, Yue Gao, Dan Meng, and Liang Chen. "Research on the Application of Node Importance Assessment based on HITs Algorithm in Power Grid Planning." Scalable Computing: Practice and Experience 25, no. 5 (2024): 3832–40. http://dx.doi.org/10.12694/scpe.v25i5.3021.

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Power grid planning needs to be strong and effective as the world’s energy environment shifts to include more renewable energy sources and smart technology. This study explores the use of the HITS (Hyperlink-Induced Topic Search) algorithm to apply node importance assessment in the context of power grid planning. The HITS method provides a new way of looking at the importance of nodes in power grid networks. It was initially developed for online link analysis. The first section of the paper offers a thorough analysis of the power grid planning techniques now in use, highlighting the crucial ro

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Vinutha, Mysore Srinivas, and Muthalambikasheta Halli Cheluvae Gowda Padma. "A page rank-based analytical design of effective search engine optimization." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 1 (2025): 73–82. https://doi.org/10.11591/ijai.v14.i1.pp73-82.

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Search engine optimization (SEO) is an important internet marketing strategy and process that facilitates maximizing an intended website’s visibility with search engine results. It is widely employed nowadays to improve traffic volume or quality from search engines to a particular website. Even though a significant number of publications imply the essential aspects of SEO, only a few provide generalized ideas to deal with the complex structure of the web. Also, the critical issues of content quality, site popularity, keyword density, and publicity factors were not much considered in the

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Kadhim, Dr Qusay Kanaan, Rasha Mahdi Abd ul kader, Atyaf ismaeel Altameemi, and Rana jassim Mohammed. "Identification of Alzheimer’s Disease Hub Genes Based on Improved HITS Algorithm." Journal of Kufa for Mathematics and Computer 11, no. 1 (2024): 25–31. http://dx.doi.org/10.31642/jokmc/2018/110105.

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Alzheimer's disease is a severe, neurodegenerative condition that gradually breaks memories, thinking abilities, and the ability to carry out even the most basic tasks. The hub genes of AD were examined in this study. They understand how interactions between proteins and non-protein substances are crucial to understanding how proteins work. Network investigations of protein-protein interactions, in particular, help understand biological issues. This article offers a novel approach to identifying essential proteins using weighted PPI networks and Hyperlink-Induced Topic Search (HITS) algorithm.

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Chen, Yanfang, Young Hoon Joo, and Dongran Song. "Multi-Objective Optimisation for Large-Scale Offshore Wind Farm Based on Decoupled Groups Operation." Energies 15, no. 7 (2022): 2336. http://dx.doi.org/10.3390/en15072336.

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Operation optimization for large-scale offshore wind farms can cause the fatigue loads of single wind turbines to exceed their limits. This study aims to improve the economic profit of offshore wind farms by conducting multi-objective optimization via decoupled group operations of turbines. To do this, a large-scale wind farm is firstly divided into several decoupled subsets through the parallel depth-first search (PDFS) and hyperlink-induced topic search (HITS) algorithms based on the wake-based direction graph. Next, three optimization objectives are considered, including total output power,

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Srinivas, Vinutha Mysore, and Padma Muthalambikasheta Halli Cheluvae Gowda. "A page rank-based analytical design of effective search engine optimization." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 1 (2025): 73. http://dx.doi.org/10.11591/ijai.v14.i1.pp73-82.

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<span lang="EN-US">Search engine optimization (SEO) is an important internet marketing strategy and process that facilitates maximizing an intended website’s visibility with search engine results. It is widely employed nowadays to improve traffic volume or quality from search engines to a particular website. Even though a significant number of publications imply the essential aspects of SEO, only a few provide generalized ideas to deal with the complex structure of the web. Also, the critical issues of content quality, site popularity, keyword density, and publicity factors were not much

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Vinodha, R., and R. Parvathi. "Content and Location Based Point-of-Interest Recommendation System Using HITS Algorithm." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 31, Supp01 (2023): 31–45. http://dx.doi.org/10.1142/s0218488523400032.

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A study of geographic information has become a significant field of concentrate in software engineering because of the expansion of much information created by electronic gadgets fit together geographic data from people, like advanced mobile phones and GPS gadgets. Area facts allow a deeper understanding of users’ options and actions by bridging the gap between the physical and digital worlds. This expansion of wide geo-spatial datasets has inspired studies into novel recommender systems that aim to make users’ travels and social interactions easier. This huge amount of data generated by these

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Pergantis, Minas, Iraklis Varlamis, Nikolaos Grigorios Kanellopoulos, and Andreas Giannakoulopoulos. "Searching Online for Art and Culture: User Behavior Analysis." Future Internet 15, no. 6 (2023): 211. http://dx.doi.org/10.3390/fi15060211.

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With the constant expansion of the Web, search engines became part of people’s daily routines. How users behave during the search process depends on a variety factors, one of which is the topic of their search interest. This study focused on the behavior of users searching the Web for content related to art and cultural heritage. A proprietary, publicly available, federated search engine, in the form of a web and mobile app, was developed for this research’s purposes. This platform was used to monitor actual user behavior during a six-month period. Quantitative data related to the platform’s u

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Edrees, Zahir, and Henda Juma. "Comparative Analysis of Page Ranking Algorithms for Efficient Information Retrieval." American Journal of Information Science and Technology 9, no. 1 (2025): 15–23. https://doi.org/10.11648/j.ajist.20250901.12.

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Search engines have become crucial tools today, providing users with access to vast amounts of information. At the core of search engine functionality lies the ranking algorithm, which is responsible for determining the relevance and order of web pages returned in response to user queries. Ranking algorithms play a critical role in ensuring that users receive the most relevant and useful results, particularly in the face of exponentially growing web content. This paper provides an in-depth analysis of PageRank algorithms, focusing on their significance in information retrieval systems. The stu

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Huang, Zejun. "Interactive Design and Management Method of Art Teaching System in Colleges and Universities under the Background of Big Data." Mathematical Problems in Engineering 2022 (June 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/7953613.

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Now, there are some problems in the art teaching system of colleges and universities, such as low management efficiency. However, with the development of big data technology, big data has been applied to the design and management of art teaching systems in colleges. Firstly, a model of art teaching system through the relevant big data was established; then the process of establishing the model was also discussed. Subsequently, based on the interactive design method and Hyperlink-Induced Topic Search (HITS) algorithm as the web design mode, this paper establishes the teaching system management

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Hirt, Julian, Christof Manuel Schönenberger, Hannah Ewald, et al. "Introducing the Library of Guidance for Health Scientists (LIGHTS)." JAMA Network Open 6, no. 2 (2023): e2253198. http://dx.doi.org/10.1001/jamanetworkopen.2022.53198.

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ImportanceImproving methodological quality is a priority in the health research community. Finding appropriate methods guidance can be challenging due to heterogeneous terminology, poor indexing in medical databases, and variation in formats. The Library of Guidance for Health Scientists (LIGHTS) is a new searchable database for methods guidance articles.ObservationsJournal articles that aim to provide guidance for performing (including planning, design, conduct, analysis, and interpretation), reporting, and assessing the quality of health-related research involving humans or human populations

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Hmamouche, Youssef, Lotfi Lakhal, and Alain Casali. "A scalable framework for large time series prediction." Knowledge and Information Systems 63, no. 5 (2021): 1093–116. http://dx.doi.org/10.1007/s10115-021-01544-w.

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AbstractKnowledge discovery systems are nowadays supposed to store and process very large data. When working with big time series, multivariate prediction becomes more and more complicated because the use of all the variables does not allow to have the most accurate predictions and poses certain problems for classical prediction models. In this article, we present a scalable prediction process for large time series prediction, including a new algorithm for identifying time series predictors, which analyses the dependencies between time series using the mutual reinforcement principle between Hu

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Et.al, Athira Najwa Zakaria. "A Study on Classical Texts in the Field of Computational Linguistics through Bibliometric Analysis." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 852–59. http://dx.doi.org/10.17762/turcomat.v12i3.795.

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Manuscripts or classic texts written by hand found in papers, barks, and rattans are relics of past generations. According to generated data, Springer Link publishes a total of 111,010 articles concerning classical texts from the year 2015 to 2019. The present bibliometric analysis focuses on three aspects, namely year of publication, type of document, and field of discipline. Data collection in schedules and visual scheduling display the current trends of classical text studies. Bibliometric analysis discovers that the utmost type of publication generated from the classical text neyword is “a

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Zhao, Wenjuan, and Zhongbao Liu. "Research on Web Page Classification Method based on Newton’s Law of Universal Gravitation and HITS Algorithm." Advances in Engineering Technology Research 13, no. 1 (2025): 856. https://doi.org/10.56028/aetr.13.1.856.2025.

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Web page classification is one of the most important methods in web mining. In recent years, numerous classifiers are proposed and used for web page classification. Though these classifiers perform well in practice, they don't pay enough attention to the link connections between web pages, and therefore, their classification efficiencies can’t be greatly improved. We propose a web page classification method based on Newton’s Law of Universal Gravitation and HITS (Hypertext-Induced Topic Search) algorithm (WPCM), based on which, we constructs the web page classification system. In this system,

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Forthmann, Boris, Karin Kaczykowski, Mathias Benedek, and Heinz Holling. "The Manic Idea Creator? A Review and Meta-Analysis of the Relationship between Bipolar Disorder and Creative Cognitive Potential." International Journal of Environmental Research and Public Health 20, no. 13 (2023): 6264. http://dx.doi.org/10.3390/ijerph20136264.

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Even though a relationship between psychopathology and creativity has been postulated since the time of ancient Greece, systematic meta-analyses on this topic are still scarce. Thus, the meta-analysis described here can be considered the first to date that specifically focuses on the relationship between creative potential, as measured by divergent thinking, and bipolar disorder, as opposed to psychopathology in general. An extensive literature search of 4670 screened hits identified 13 suitable studies, including a total of 42 effect sizes and 1857 participants. The random-effects model showe

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Taccini, Federica, and Stefania Mannarini. "An Attempt to Conceptualize the Phenomenon of Stigma toward Intimate Partner Violence Survivors: A Systematic Review." Behavioral Sciences 13, no. 3 (2023): 194. http://dx.doi.org/10.3390/bs13030194.

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The objectives of the present manuscript were to review the literature on stigma toward survivors of intimate partner violence (IPV) and to identify the most widely used assessment techniques to investigate this issue. The PRISMA guidelines were followed, and the systematic review was registered in PROSPERO, registration number: CRD42022327410. PsycINFO, Scopus, Web of Science, and PubMed were searched. Two authors selected and extracted data from eligible studies. In total, 4220 hits were returned from the database search, and of them, 24 articles met the inclusion criteria. The articles incl

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Mylsami, T., and B. L. Shivakumar. "Improved Weighted Page Ranking Algorithm Based on Principal Component Analysis and Map Reduce Frame work for Web Access." Asian Journal of Computer Science and Technology 8, no. 2 (2019): 32–39. http://dx.doi.org/10.51983/ajcst-2019.8.2.2144.

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In general the World Wide Web become the most useful information resource used for information retrievals and knowledge discoveries. But the Information on Web to be expand in size and density. The retrieval of the required information on the web is efficiently and effectively to be challenge one. For the tremendous growth of the web has created challenges for the search engine technology. Web mining is an area in which applies data mining techniques to deal the requirements. The following are the popular Web Mining algorithms, such as PageRanking (PR), Weighted PageRanking (WPR) and Hyperlink

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Manian, Vidya, Jairo Orozco, Harshini Gangapuram, Heeralal Janwa, and Carlos Agrinsoni. "Network Analysis of Gene Transcriptions of Arabidopsis thaliana in Spaceflight Microgravity." Genes 12, no. 3 (2021): 337. http://dx.doi.org/10.3390/genes12030337.

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The transcriptomic datasets of the plant model organism Arabidopsis thaliana grown in the International Space Station provided by GeneLab have been mined to isolate the impact of spaceflight microgravity on gene expressions related to root growth. A set of computational tools is used to identify the hub genes that respond differently in spaceflight with controlled lighting compared to on the ground. These computational tools based on graph-theoretic approaches are used to infer gene regulatory networks from the transcriptomic datasets. The three main algorithms used for network analyses are Le

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Zhu, Ling, Dejun Gao, Tao Jia, and Jingyi Zhang. "Using Eco-Geographical Zoning Data and Crowdsourcing to Improve the Detection of Spurious Land Cover Changes." Remote Sensing 13, no. 16 (2021): 3244. http://dx.doi.org/10.3390/rs13163244.

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To address problems in remote sensing image change detection, this study proposes a method for identifying spurious changes based on an eco-geographical zoning knowledge base and crowdsourced data mining. After preliminary change detection using the super pixel cosegmentation method, eco-geographical zoning is introduced, and the rules of spurious change are collected based on the knowledge of expert interpreters, and from statistics on existing land cover products according to each eco-geographical zone. Uncertain changed patches with a high possibility of spurious change according to the eco

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Fletcher, Jack McKay, and Thomas Wennekers. "From Structure to Activity: Using Centrality Measures to Predict Neuronal Activity." International Journal of Neural Systems 28, no. 02 (2018): 1750013. http://dx.doi.org/10.1142/s0129065717500137.

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It is clear that the topological structure of a neural network somehow determines the activity of the neurons within it. In the present work, we ask to what extent it is possible to examine the structural features of a network and learn something about its activity? Specifically, we consider how the centrality (the importance of a node in a network) of a neuron correlates with its firing rate. To investigate, we apply an array of centrality measures, including In-Degree, Closeness, Betweenness, Eigenvector, Katz, PageRank, Hyperlink-Induced Topic Search (HITS) and NeuronRank to Leaky-Integrate

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Fan, Jianyong, Chenxi Pan, Yue Geng, and Shuyu Li. "A Privacy-Preserving Time-Aware Method for Next POI Recommendation." Electronics 12, no. 15 (2023): 3208. http://dx.doi.org/10.3390/electronics12153208.

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Compared with traditional point-of-interest (POI) recommendation, next POI recommendation is more difficult and requires comprehensive consideration of users’ behavior patterns, spatial–temporal context, and other information. In addition, unreliable service providers may disclose the privacy of users when providing recommendation services. For next POI recommendation, a privacy-preserving time-aware recommendation method (PPTA-RM) is proposed in this paper. The PPTA-RM method is based on centralized differential privacy and combines coarse-grained recommendation with fine-grained recommendati

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Scherenberg, Viviane, Doreen Müller, and Michael Erhart. "Künstliche Intelligenz und Gesundheitskompetenz: Möglichkeiten und Grenzen öffentlich zugänglicher KI-Sprachmodelle." Monitor Versorgungsforschung 2025, no. 02 (2025): 65–70. https://doi.org/10.24945/mvf.02.25.1866-0533.2707.

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Background: With the use of artificial intelligence (AI), there is growing interest in AI systems such as ChatGPT for communicating health information. AI has the potential to improve public health literacy by serving as a source of information. At the same time, the question arises as to the possibilities and limitations of the use of AI, especially with regard to the quality and reliability of the information provided. Methodology: The study is based on a literature analysis on the topic of health literacy and AI. PubMed and AI-based literature analysis programmes were used for the search (a

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Cuan-Baltazar, Jose Yunam, Maria José Muñoz-Perez, Carolina Robledo-Vega, Maria Fernanda Pérez-Zepeda, and Elena Soto-Vega. "Misinformation of COVID-19 on the Internet: Infodemiology Study." JMIR Public Health and Surveillance 6, no. 2 (2020): e18444. http://dx.doi.org/10.2196/18444.

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Background The internet has become an important source of health information for users worldwide. The novel coronavirus caused a pandemic search for information with broad dissemination of false or misleading health information. Objective The aim of this study was to evaluate the quality and readability of online information about the coronavirus disease (COVID-19), which was a trending topic on the internet, using validated instruments and relating the quality of information to its readability. Methods The search was based on the term “Wuhan Coronavirus” on the Google website (February 6, 202

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Pathak, Maneesha, Anita Singh, Pooja Rawal, Arcahana N. Sah, and Subbarao Naidu. "In- Silico Drug Design and Molecular Docking Studies of Poly ADP-Ribose Polymerase (PARP-1) Inhibitors as Anticancer Agents." International Journal of Pharmaceutical Sciences and Nanotechnology(IJPSN) 16, no. 2 (2023): 6396–406. http://dx.doi.org/10.37285/ijpsn.2023.16.2.2.

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Background of the Topic: Drug discovery employs bioinformatics and computational biology (CADD) approaches for the identification and optimization of lead compounds. The PARP-1 is the member of the PARP family. PARP-1 is the enzyme that repairs the DNA damage in cancer cell hence it is selected as the target for the study. PARP inhibitors were shown the prominent results in the treatment of different kinds of malignancies due to loss of function of BRCA1/2 genes. Methodology: Based on literature review, database search, ADME and MD simulation, top 10 selected ligands were screened and te

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Mattioli, Stefano, Jos Verbeek, Simone Mattei, and Stefania Curti. "Effectiveness of preventive interventions and Randomised Controlled Trials in Occupational Health: an overview of the last five decades: Preventive interventions and Randomised Controlled Trials in Occupational Health." La Medicina del Lavoro 112, no. 4 (2021): 258–63. https://doi.org/10.23749/mdl.v112i4.12106.

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Introduction: Evidence-Based Medicine, as a new scientific paradigm, modified the approach to diagnosis, treatment and prevention of diseases based on the best available scientific evidence synthesized in systematic reviews since the last decade of the past century. To evaluate its influence, we assessed the trend in the number and proportion of randomised controlled trials (RCTs) and systematic reviews of preventive interventions in occupational health (OH) over the last five decades. Methods: PubMed has been searched using established search filters regarding occupational determinants of d

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Czakert, Judith, Anne Schirmaier, Sarah B. Blakeslee, et al. "Scoping review meets expert interviews: Key issues of multimodal programs for workplace health promotion in long-term care facilities – "We can’t just run a standard program"." Health Promotion Perspectives 14, no. 3 (2024): 221–37. http://dx.doi.org/10.34172/hpp.42899.

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Background: Long-term care facility employees’ workload escalation intensifies negative risk for (nursing) staff health, residents, and the economy. Workplace health promotion (WHP) has emerged as a vital approach with positive impacts on employee well-being. This Scoping Review focuses on multimodal WHP programs in long-term care facilities, emphasizing barriers, facilitators, and the integration of complementary and integrative medicine (CIM). Methods: Following the PRISMA-ScR guidelines, a systematic search strategy from February to April 2023 in Medline (PubMed), EMBASE (Ovid), and CINAHL

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Caraballo-Arias, Yohama. "P-428 WORLD HAPPINESS AND ITS RELATIONSHIP WITH WORK." Occupational Medicine 74, Supplement_1 (2024): 0. http://dx.doi.org/10.1093/occmed/kqae023.1142.

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Abstract Introduction Humans spend a third of their lives working, which can either fulfil their desire for happiness or self-realization or cause suffering and even death. Genetics, environment, and voluntary choices (such us marriage or type of job) influence the level of happiness, which is not perceived equally across cultures. Results Happiness is gaining popularity in science. A search on PubMed on August 18th, 2023, shows over 12,699 hits and 117systematic reviews on the topic. The world happiness report, a global initiative of the United Nations, collect from people in over 150 countri

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Tomeczek, Artur F., Mariusz-Jan Radło, and Ewelina Szczech-Pietkiewicz. "Formation and determinants of inter-municipality commuting in Poland: Network centrality analysis." Argumenta Oeconomica 54, no. 1 (2025): 56–74. https://doi.org/10.15611/aoe.2025.1.04.

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Aim: The article analyses the pattern of regional labour mobility in Poland using inter-municipality commuting data. The research questions concerned directions and factors of labour mobility between cities, to assess the level of the centrality of municipalities and major urban centres within the commuting network in Poland. Methodology: A simple static directed commuting network with 3,094 nodes and 34,986 edges was constructed. Various commonly used centrality measures were calculated: degree centrality, betweenness centrality, closeness centrality, PageRank, HITS (hyperlink-induced topic s

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Lillywhite and Wolbring. "Undergraduate Disabled Students as Knowledge Producers including Researchers: A Missed Topic in Academic Literature." Education Sciences 9, no. 4 (2019): 259. http://dx.doi.org/10.3390/educsci9040259.

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Research experience is beneficial for undergraduate students for many reasons. For example, it is argued in academic literature and in reports produced by various organizations that engage with science, technology, engineering and math (STEM) education and science education that undergraduate research experience increases the graduation rate in STEM disciplines as well as the amount of students thinking about STEM careers. As such, being researchers should also be of benefit to undergraduate disabled students in all disciplines including STEM education. However, given that undergraduate disabl

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Iermakov, Sergii, Tetiana Yermakova, and Krzysztof Wnorowski. "Statistical match reports of the 2022 volleyball World Championship in the context of network analysis with Gephi." Physical Culture, Recreation and Rehabilitation 2, no. 2 (2023): 44–59. http://dx.doi.org/10.15561/physcult.2023.0201.

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Background and Study Aim. Modern volleyball teams participating in tournaments provide extensive statistical data about their actions. These data are available for analysis and represent a valuable source for assessing the potential and future success of both individual athletes and teams as a whole. In this context, tools such as Gephi become particularly valuable for visualizing and analyzing events at high-level tournaments. Our study aims to create and analyze network models of interaction among men's volleyball teams during the qualifying matches of the 2022 World Championship using the G

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Müller, Pascal, and Patrick Jahn. "Cocreative Development of Robotic Interaction Systems for Health Care: Scoping Review." JMIR Human Factors 11 (September 12, 2024): e58046-e58046. http://dx.doi.org/10.2196/58046.

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Abstract Background Robotic technologies present challenges to health care professionals and are therefore rarely used. Barriers such as lack of controllability and adaptability and complex control functions affect the human-robot relationship. In addition to educational opportunities, the possibility of individual adaptation can improve the usability and practical implementation of robotics. Previous work has focused on developments from a technology-centered perspective and has included user interests too late in the process. Objective This study addresses the following research question: Wh

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Schjerven, Filip Emil, Frank Lindseth, and Ingelin Steinsland. "Prognostic risk models for incident hypertension: A PRISMA systematic review and meta-analysis." PLOS ONE 19, no. 3 (2024): e0294148. http://dx.doi.org/10.1371/journal.pone.0294148.

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Objective Our goal was to review the available literature on prognostic risk prediction for incident hypertension, synthesize performance, and provide suggestions for future work on the topic. Methods A systematic search on PUBMED and Web of Science databases was conducted for studies on prognostic risk prediction models for incident hypertension in generally healthy individuals. Study-quality was assessed using the Prediction model Risk of Bias Assessment Tool (PROBAST) checklist. Three-level meta-analyses were used to obtain pooled AUC/C-statistic estimates. Heterogeneity was explored using

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Holzer, Lukas. "Assessing the Quality and Content of Accessible Information on the Internet Regarding Hallux Rigidus." Foot & Ankle Orthopaedics 2, no. 3 (2017): 2473011417S0001. http://dx.doi.org/10.1177/2473011417s000195.

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Category: Midfoot/Forefoot Introduction/Purpose: The internet has grown into one of the biggest resource of easy accessible health information for the general public. Hallux rigidus (HR) is the most common arthritic disease pattern of the foot. There is no mutual consent on the ideal operative intervention for this disease. State of knowledge is essential for a decision to proceed with a HR specific treatment, since this decision is ultimately a shared one between the patient and the physician. Therefore, many patients comb through the internet for medical information related to this specific

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Fiore, D., and S. De Rosa. "P443 ACUTE ACALCULOUS CHOLECYSTITIS AND CARDIOVASCULAR DISEASE, WHICH CAME FIRST?" European Heart Journal Supplements 25, Supplement_D (2023): D218. http://dx.doi.org/10.1093/eurheartjsupp/suad111.509.

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Abstract Background The existence of a close association between disease of the biliary tract and heart‘s disease is known from the mists of time. Acute acalculous cholecystitis (AAC) is a challenging diagnosis. The atypical clinical onset associated to a paucity and similarity of symptoms and to laboratory data mimicking cardiovascular disease (CVD) often results in under and misdiagnosed cases. Moreover, AAC is often associated with gangrene, perforation and empyema as well as considerable morbidity and mortality(up 50%). Early diagnosis is crucial to increase survivability. Even today, ther

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Khan, Mehak, Gustavo B. M. Mello, Laurence Habib, Paal Engelstad, and Anis Yazidi. "HITS based Propagation Paradigm for Graph Neural Networks." ACM Transactions on Knowledge Discovery from Data, December 30, 2023. http://dx.doi.org/10.1145/3638779.

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In this paper, we present a new propagation paradigm based on the principle of Hyperlink-Induced Topic Search (HITS) algorithm. The HITS algorithm utilizes the concept of a ”self-reinforcing” relationship of authority-hub. Using HITS, the centrality of nodes is determined via repeated updates of authority-hub scores that converge to a stationary distribution. Unlike PageRank-based propagation methods, which rely solely on the idea of authorities (in-links), HITS considers the relevance of both authorities (in-links) and hubs (out-links), thereby allowing for a more informative graph learning p

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S, John Vaseekaran, and Srinivasan N. "Towards Development of a Hypertext Induced Topic Search Based Point of Interest Recommender System for Location Based Social Networks." Journal of Machine and Computing, January 5, 2025, 220–31. https://doi.org/10.53759/7669/jmc202505017.

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Location-based social networks (LBSN) have a significant issue in the suggestion of points of interest (POIs) due to the sparsity of data, implicit input from users, and individual preferences. In most of the LBSN systems, there is no simple rating method for POIs, which is a major drawback for many users. Due to a lack of acceptable connections, such algorithms tend to provide a list of POIs that the user cannot consistently visit. There are many applications for the link data analysis, and the Hyperlink-Induced Topic Search (HITS) algorithm in particular, such as highest ranked search engine

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Liu, Bin, Shuangyan Jiang, and Quan Zou. "HITS-PR-HHblits: protein remote homology detection by combining PageRank and Hyperlink-Induced Topic Search." Briefings in Bioinformatics, November 7, 2018. http://dx.doi.org/10.1093/bib/bby104.

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S., Prabha, Duraiswamy K., and Indhumathi J. "Comparative Analysis of Different Page Ranking Algorithms." International Journal of Information, Control and Computer Sciences 7.0, no. 8 (2015). https://doi.org/10.5281/zenodo.1337735.

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Search engine plays an important role in internet, to retrieve the relevant documents among the huge number of web pages. However, it retrieves more number of documents, which are all relevant to your search topics. To retrieve the most meaningful documents related to search topics, ranking algorithm is used in information retrieval technique. One of the issues in data miming is ranking the retrieved document. In information retrieval the ranking is one of the practical problems. This paper includes various Page Ranking algorithms, page segmentation algorithms and compares those algorithms use

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Ashutosh, Kumar Singh, and Kumar P. Ravi. "A Comparative Study of Page Ranking Algorithms for Information Retrieval." April 20, 2009. https://doi.org/10.5281/zenodo.1058595.

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This paper gives an introduction to Web mining, then describes Web Structure mining in detail, and explores the data structure used by the Web. This paper also explores different Page Rank algorithms and compare those algorithms used for Information Retrieval. In Web Mining, the basics of Web mining and the Web mining categories are explained. Different Page Rank based algorithms like PageRank (PR), WPR (Weighted PageRank), HITS (Hyperlink-Induced Topic Search), DistanceRank and DirichletRank algorithms are discussed and compared. PageRanks are calculated for PageRank and Weighted PageRank alg

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