Global research performance on social media security: a bibliometric visualization analysis
IF 2.1
Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Devang Chhtrapati, Dharmendra Trivedi, Shanti P. Chaudhari, Arpit Sharma, Atul Bhatt
求助PDF
{"title":"Global research performance on social media security: a bibliometric visualization analysis","authors":"Devang Chhtrapati, Dharmendra Trivedi, Shanti P. Chaudhari, Arpit Sharma, Atul Bhatt","doi":"10.1108/idd-04-2022-0029","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis study concentrates on assessing the research productivity in the domain of social media security in the past decades. The purpose of this study is to conduct a comprehensive bibliometric review on social media using various bibliometric indicators.\n\n\nDesign/methodology/approach\nA total of 8,121 scientific publications were retrieved from Scopus database from period 1998 to 2021 using associated keyword search. This study also used VOSviewer© tool to evaluate the network visualisation.\n\n\nFindings\nThe result of this study revealed that there is a steady growth of annual publications except for the years 2015 and 2016. A total of 8,121 scientific publications and 80,454 total citations were found with 11.2 average citations per publication. The USA, China and India were top productive countries in terms of publishing research in the field; Chinese Academy of Sciences secured top position with 126 publications in highly productive organisation in the domain. The lecture notes in computer science from Springer Nature received a highly produced title with 553 publications and 4,453 total citations. For co-occurrence of author’s keywords, network visualisation analysis revealed that “Social Media”, “Social Network”, “Security”, “Privacy” and “Trust” found maximum occurrence in the domain of social media security.\n\n\nResearch limitations/implications\nThis study provides comprehensive research status of social media security by performing a bibliometric analysis. The findings of this study will help relevant researchers to understand the research trend, pursue scientific collaborators and enhance research topic preferences.\n\n\nOriginality/value\nThe rareness of this study, detailed bibliometric analysis on the domain of social media security, is proven using numerous bibliometric indicators and application of VOSviewer in the domain.\n","PeriodicalId":43488,"journal":{"name":"Information Discovery and Delivery","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Discovery and Delivery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/idd-04-2022-0029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
引用
批量引用
Abstract
Purpose
This study concentrates on assessing the research productivity in the domain of social media security in the past decades. The purpose of this study is to conduct a comprehensive bibliometric review on social media using various bibliometric indicators.
Design/methodology/approach
A total of 8,121 scientific publications were retrieved from Scopus database from period 1998 to 2021 using associated keyword search. This study also used VOSviewer© tool to evaluate the network visualisation.
Findings
The result of this study revealed that there is a steady growth of annual publications except for the years 2015 and 2016. A total of 8,121 scientific publications and 80,454 total citations were found with 11.2 average citations per publication. The USA, China and India were top productive countries in terms of publishing research in the field; Chinese Academy of Sciences secured top position with 126 publications in highly productive organisation in the domain. The lecture notes in computer science from Springer Nature received a highly produced title with 553 publications and 4,453 total citations. For co-occurrence of author’s keywords, network visualisation analysis revealed that “Social Media”, “Social Network”, “Security”, “Privacy” and “Trust” found maximum occurrence in the domain of social media security.
Research limitations/implications
This study provides comprehensive research status of social media security by performing a bibliometric analysis. The findings of this study will help relevant researchers to understand the research trend, pursue scientific collaborators and enhance research topic preferences.
Originality/value
The rareness of this study, detailed bibliometric analysis on the domain of social media security, is proven using numerous bibliometric indicators and application of VOSviewer in the domain.
社会媒体安全的全球研究绩效:文献计量可视化分析
目的本研究主要评估过去几十年社交媒体安全领域的研究生产力。本研究的目的是使用各种文献计量指标对社交媒体进行全面的文献计量回顾。设计/方法/方法采用相关关键词检索方法从Scopus数据库中检索1998 - 2021年间共8121篇科学出版物。本研究还使用VOSviewer©工具对网络可视化进行评估。研究结果表明,除2015年和2016年外,年度出版物稳步增长。共发现科学出版物8121篇,总被引80454次,平均被引11.2次。美国、中国和印度是该领域发表研究成果最多的国家;中国科学院在该领域的高产机构中以126篇论文稳居榜首。b施普林格Nature的计算机科学课堂讲稿以553篇出版物和4453次总引用获得了高产量的标题。对于作者关键词的共现,网络可视化分析显示,“Social Media”、“Social network”、“Security”、“Privacy”和“Trust”在社交媒体安全领域的出现次数最多。研究局限/启示本研究通过文献计量分析提供了社交媒体安全的全面研究现状。本研究结果将有助于相关研究者了解研究趋势,追求科学合作者,增强研究课题偏好。独创性/价值本研究的稀缺性,对社交媒体安全领域进行了详细的文献计量分析,并通过大量文献计量指标和VOSviewer在该领域的应用证明了这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
来源期刊
期刊介绍:
Information Discovery and Delivery covers information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organisations, knowledge managers in media, health care and government, as well as librarians. The journal publishes research and practice which explores the digital information supply chain ie transport, flows, tracking, exchange and sharing, including within and between libraries. It is also interested in digital information capture, packaging and storage by ‘collectors’ of all kinds. Information is widely defined, including but not limited to: Records, Documents, Learning objects, Visual and sound files, Data and metadata and , User-generated content.