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The main objective of this study is to evaluate the impact of Persian Scientific Papers (PSPs) on Persian Wikipedia by studying Wikipedia's citations to these papers.

The present study is applied research, which has been performed by the web-mining method, such as downloading web pages, extracting information (references), identifying papers, detecting peer-review journals and calculating the frequency rates. The statistical population included 10,000 Persian Wikipedia Pages (PWPs) that were analyzed in two rounds with a six-month interval.

The number of pages containing the Persian references section was 3,994 and 4,063 out of the 10,000 pages extracted in the first and second rounds. The ratio of pages that cited scientific sources (58 and 67 pages) to the pages extracted from the PWP was equal to 0.58 and 0.67%. The ratio of pages that cited scientific sources to pages with Persian references in each round was equal to 1.45 and 1.64%. The number of references extracted from the PWP in each round equaled 30,441 and 35,891. Eight titles from reputable Persian journals had received at least three citations from Wikipedia.

The present study has determined the extent of interaction between science and society (knowledge flow) in the form of citations from Wikipedia articles to articles in peer-reviewed journals. The study of this issue in Persian Wikipedia in more than 2000 Persian peer-reviewed journals shows the originality of the present paper. Studying citation reliability in a collaborative and openly editable platform is another originality of the work.

The purpose of this study is to examine research on academic libraries and the social web published from July 1, 2019, to June 30, 2023.

The article search and filtering procedures mirrored those of Choi and Harper (2020) and Carlsson (2015), resulting in a total sample size of 93 articles. These articles underwent examination based on the same eight variables (i.e. journal outlet, research theme, publication year, social web type, method, keyword, study participant type and study country) as employed by Choi and Harper (2020) and Carlsson (2015), with the addition of two new variables (i.e. research purpose and the impact of COVID-19).

The research article volume has consistently maintained a stable trend. A notable difference from Choi and Harper (2020) and Carlsson (2015) is the rise of “user perspectives” as the second most prevalent theme. Unlike Choi and Harper (2020), the “survey” method is predominant. Many research purposes, excluding “marketing and promotion,” lack attention. Additionally, there’s a dearth of studies on the impact of COVID-19.

The findings from the study not only offer a snapshot of the current research landscape on academic libraries and their engagement with the social web but also offer insights for future scholarly endeavors.

There is a limited effort in exploring the recent literature regarding the role of the social web in academic libraries. This study serves as a valuable guide for contributing to this dynamic research stream and provides various up-to-date implications.

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.

By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.

(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.

This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

Seeking online bilingual scientific information is a key aspect of bilingual scientific Web literacy – abilities to engage critically with science on the Web using two languages. This study aims to determine whether factors such as age, education major, gender and type of school attended at secondary level (monolingual, bilingual, trilingual) influence undergraduates’ ability to search online Spanish-English bilingual scientific information.

The participants in this study were 60 students (43 females and 17 males, 18–25 years old) enrolled in a university bilingual science course at a high-ranked Colombian university. They were asked to complete two tasks in which they had to seek online scientific information in Spanish and in English and post their responses on the Web application, Padlet^® (padlet.com).

Results indicate that students’ gender and age influence their academic performance in both tasks and level of originality in using information obtained via the Web, respectively. Moreover, the “scientific journal” was the top source of online information from which participants sought most information to complete both tasks.

People are becoming increasingly accustomed to seeking and sharing online scientific information to support points of view and make decisions. However, it is not known which factors influence students’ ability to seek online first language-English bilingual scientific information in countries where English is the second or foreign language.

This research aimed to visualize and analyze the co-word network and thematic clusters of the intellectual structure in the field of linked data during 1900–2021.

This applied research employed a descriptive and analytical method, scientometric indicators, co-word techniques, and social network analysis. VOSviewer, SPSS, Python programming, and UCINet software were used for data analysis and network structure visualization.

The top ranks of the Web of Science (WOS) subject categorization belonged to various fields of computer science. Besides, the USA was the most prolific country. The keyword ontology had the highest frequency of co-occurrence. Ontology and semantic were the most frequent co-word pairs. In terms of the network structure, nine major topic clusters were identified based on co-occurrence, and 29 thematic clusters were identified based on hierarchical clustering. Comparisons between the two clustering techniques indicated that three clusters, namely semantic bioinformatics, knowledge representation, and semantic tools were in common. The most mature and mainstream thematic clusters were natural language processing techniques to boost modeling and visualization, context-aware knowledge discovery, probabilistic latent semantic analysis (PLSA), semantic tools, latent semantic indexing, web ontology language (OWL) syntax, and ontology-based deep learning.

This study adopted various techniques such as co-word analysis, social network analysis network structure visualization, and hierarchical clustering to represent a suitable, visual, methodical, and comprehensive perspective into linked data.

Library science and information science, two subdisciplines of library and information science (LIS), are developed independently but interconnectedly. In this information age, LIS is in a special period of transformation and development, which has caused some changes in both library science and information science. By accurately capturing these changes and analyzing them, the authors can effectively map the development of LIS in the new century, thus providing a reference for the evolution and development of the field. The purposes of this paper are to explore the mainstream research fields and frontiers of library science and information science, respectively, since the new century, and to make a comparative analysis of the two subdisciplines.

By using CiteSpace to visualize LIS journals, this study draws knowledge maps of the two subdisciplines of LIS through the co-occurrence descriptors network. Using burst detection algorithm, this study detects words of high frequency variation by investigating the time frequency distribution.

The results show that the research focus of library science has experienced a change from traditional to digital library while information science has moved from information to data focus. This study also finds the similarities and differences between mainstream areas of library science and information science.

This study focuses on the evolution of library science and information science, and explores their mainstream research fields and frontiers in the 21st century. These findings will promote the transformation and development of LIS as well as provide research directions for scholars in the field.

The purpose of the article is to understand how the literature has been addressing the United Nations' Sixth Sustainable Development Goal (SDG) to obtain an overview of the current scenario and future perspectives.

For that, a bibliometric analysis will be conducted with documents published between 2015 and 2021 and present in the Web of Science database. Initially, 328 documents were identified, and after careful reading of titles and abstracts, 239 documents were analysed. The documents were analysed using tools available on the Web of Science database and the software Bibliometrix.

Amongst the results generated, it should be highlighted the identification of the motor themes “sustainable development” + “developing countries” and “water security”, presenting a significant relevance to the field and a high development level. In addition, “human rights” was verified as an emerging theme in the context of SDG 6 debates.

The information provided here offers good documentation of the extent to which SDG 6 is documented in the literature and can be helpful for researchers interested in the topic.

Tourism encompasses multiple activities along with actors, locations and roles involved. Thus, tourism development and planning should consider value-added activities that form a tourism value chain (TVC). In the literature, the conceptual and practical understanding of TVC is significantly diverse, making it challenging to comprehend the entire framework. This study aims to synthesize a general TVC framework.

This review uses the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol to search for and select relevant literature in two databases (Scopus® and Web of Science™). Covering six aspects (logic, scope, value, perspective, type and scale), this study systematically analyzes the selected empirical studies to synthesize a functional framework of TVC as the basis to explore insights for effective TVC practices.

The results show that existing empirical studies have adopted four types of logic (supply logic, destination logic, global value chain and tourism global value chain), which complement each other in explaining the entire concept of TVC. Besides, the TVC concept is applicable on various scales and in different types of tourism with slight practical differences. Furthermore, values appear in various forms and offer benefits for suppliers and consumers as primary actors in TVC. Findings for the six aspects form tourism value webs as the functional framework of TVC.

This study offers a wide-ranging review of various empirically implemented TVC concepts for comprehensive TVC-based tourism development and planning. This review sets a theoretical foundation for future studies to improve the body of knowledge of TVC and tourism development and planning in general.

旅游活动横跨多重行动者、地点及不同角色, 因此旅游的发展及规划需考虑各项加值活动, 进而组织旅游价值链（tourism value-chain, TVC）。综观学界对价值链的定义发现, 不同文献在概念上及操作上的理解差异甚大, 本研究之目标即为整合出一套可供一般化的价值链框架。

本研究由系统性文献分析出发, 提出旅游价值链的实用框架, 并以此为基础, 针对有效的旅游价值链实践提供洞见。本文检索两大学术资料库（Scopus® 与Web of Science™）之文献, 并以PRISMA 架构汇整后, 从六大面向进行整合：逻辑、范围、价值、视角、类型及规模。

本研究发现过往研究采用了四种逻辑, 包含供给逻辑、目的地逻辑、全球价值链及旅游全球价值链。既有文献也证实, 旅游价值链的概念可以微调后应用在不同规模及类型的旅游研究。此外, 对于旅游价值链的主要行动者（也就是旅游服务的提供者和消费者）而言, 价值也会以不同类型呈现并为其带来利益。六个方面的调查结果形成了旅游价值网 (TVW) 作为 TVC 的概念框架

本研究广泛回顾了应用旅游价值链概念的研究文献, 并建立全面性的理解框架, 期能为后续旅游价值链、旅游发展及规划相关研究提供知识基础。

El turismo abarca múltiples actividades junto con los actores, los lugares y los roles involucrados. Por lo tanto, el desarrollo y la planificación del turismo deben tener en cuenta las actividades de valor añadido que forman una cadena de valor turístico (TVC). En la literatura, la comprensión conceptual y práctica de la TVC es significativamente diversa, lo que dificulta la comprensión de todo el marco. Este estudio pretende sintetizar un marco general de TVC.

Esta revisión emplea el protocolo PRISMA para buscar y seleccionar la literatura relevante en dos bases de datos (Scopus® y Web of Science™). Abarcando seis aspectos (lógica, alcance, valor, perspectiva, tipo y escala), este estudio analiza sistemáticamente los estudios empíricos seleccionados para sintetizar un marco funcional de la TVC como base para explorar las ideas para las prácticas efectivas de TVC.

Los resultados muestran que los estudios empíricos existentes han adoptado cuatro tipos de lógica (lógica de la oferta, lógica del destino, cadena de valor global (CGV) y cadena de valor global del turismo (TGVC)), que se complementan entre sí para explicar el concepto completo de TVC. Además, el concepto de TVC es aplicable a varias escalas y en diferentes tipos de turismo con ligeras diferencias prácticas. Por otro lado, los valores aparecen de diversas formas y ofrecen beneficios para los proveedores y los consumidores como actores principales de la TVC. Los resultados de los seis aspectos conforman las redes de valor turístico (TVW) como marco funcional de la TVC.

Este estudio ofrece una amplia revisión de varios conceptos de TVC aplicados empíricamente para el desarrollo y la planificación del turismo basados en la TVC. Esta revisión establece una base teórica para que futuros estudios mejoren el conjunto de conocimientos sobre la TVC y el desarrollo y la planificación del turismo en general.

This paper aims to check the fragmentation of knowledge across multiple sources of evidence, identifying, scrutinizing and outlining suggestions concerning the challenges researchers face when using multiple sources of data to identify studies.

This study produced a comprehensive database of 15,848 items from Scopus, Web of Science and EBSCO on the organizational growth and decline topics. The analyses carried out to check the fragmentation of scientific knowledge and the challenges in identifying studies have made use of the basic data frame functions in R’s language and the Bibliometrix and Corpus R’s packages.

This study confirms the fragmentation of scientific knowledge as well as it identifies the following challenges: missing information in key fields, nonexistence of standards in terminology, limitations on data extraction, duplicates and multiple formats of cited reference. Additionally, it suggests practical coping procedures and advances implications for stakeholders and an agenda for future research.

This study provides valuable and practical examples with empirical confirmation of scientific knowledge fragmentation and offers an integrated view of many challenges in the process of identifying studies. Moreover, by offering suggestions to address these challenges, this study not only offers a practical guide to scientific researchers but also initiates a wider discussion regarding knowledge organizing in social sciences.

The paper aims to provide an overview of the state-of-the-art of the event industry in the context of digitalization to understand how digital technologies change the event industry and what research topics are the most promising for further exploration.

A bibliometric analysis of the existing body of knowledge on the topic was conducted and the results were visualized using CiteSpace 5.8.R3. A total of 1999 articles and proceeding papers from the Web of Science Core Collection published between 2007 and 2022 were selected for our analysis. Based on the articles and proceeding papers in the Web of Science Core Collection database, we selected a set of publications for our analysis. The data were obtained through specific keywords related to our research topic. The method involves a process of three main stages: data collection, data processing and the bibliometric analysis.

Co-citation analysis indicated that issues of crowd management and tracking human mobility during mass events are important for the event industry and that technologies such as the Internet of Things, special-purpose mobile applications and systems make it easier for an event organizer to handle the issues. The findings demonstrated a weak scientific collaboration between countries in the topic studied and shift of research hotspots to study of satisfaction, motivation and behavioral patterns of events attendees. Based on this analysis, three directions for future research were revealed.

The results should be interpreted in light of our sample, because the analysis was conducted within our sample which has boundaries. We collected data from all categories in the Web of Science Core Collection database, but we considered only articles and proceeding papers as opposed to all possible types of scientific publications and other databases. In the study, we focused on detecting the state-of-the-art of the event industry in the context of digitalization overall. More specific topics that could be analyzed remain, for example, the dependency of digital technologies from the event type, etc.

This study reflects the state-of-the-art of the event industry in the context of digitalization. It provides researchers with key developmental trends in the event industry, which assists them in more deeply understanding the evolution of research hotspots in the field during last 15 years and defining future research agenda. The paper presents an overview of digital technologies used in various types of events and describes the issues and results related to the implementing digital technologies. The results obtained were extremely important, as they can be used by event managers and organizers to enhance customers’ experience during the events.

This study reflects the state-of-the-art of the event industry in the context of digitalization. This is the first attempt to make an overall analysis of scientific papers published in the Web of Science Core Collection on the topic studied without excluding any categories. The search procedure is transparent, and the results can be reproduced in other search fields using the same approach. Based on this analysis, three directions for future research were revealed including technological aspects of online event-based social networks, issues of crowd management and security at mass events and issues of attendees’ acceptance of novel digital technologies.