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影响力网络剖析:社交媒体成瘾的文献计量分析

Navigating the Web of Influence: A Bibliometric Analysis of Social Media Addiction.

作者信息

K R Anish, Abraham K S Jesteena, Jose Jobin, Francis P Nice Mary, P Joseph Ajesh

机构信息

Department of Social Work, Rajagiri College of Social Sciences Autonomous, Kalamassery, IND.

Department of Library Science, Liquid Propulsion System Centre, Thiruvananthapuram, IND.

出版信息

Cureus. 2024 Jun 13;16(6):e62283. doi: 10.7759/cureus.62283. eCollection 2024 Jun.


DOI:10.7759/cureus.62283
PMID:39006596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11245679/
Abstract

Social media addiction is a behavioral dependency characterized by excessive and compulsive use of social media platforms, leading to negative impacts on various aspects of an individual's life. Bibliometric analysis is a research method used to quantitatively analyze academic literature, such as articles, books, and conference papers. It involves the application of statistical and mathematical tools to study the patterns and trends in scientific publications. This bibliometric study provides a comprehensive analysis of the literature on social media addiction, revealing patterns and dynamics within the field. Utilizing Web of Science for bibliographic data, the study employs advanced bibliometric tools like Biblioshiny and CiteSpace to map the scientific landscape. Annual scientific production, top contributing authors, key sources, trending topics, and thematic maps were identified using Biblioshiny. Additionally, network visualizations, such as co-citation networks of authors, time zone network visualizations of keyword co-occurrence, and timeline network visualizations of country collaborations, were created using CiteSpace. Our findings present an increasing trend in publications over the years, highlighting a growing recognition of social media addiction's significance. We detail the most relevant authors and sources, pinpointing key contributors and influential journals that shape the discourse. Trend topics analysis uncovers the prevalent themes, with "internet addiction" and "adolescents" at the forefront, reflecting the field's concentration on the younger population. The thematic map categorizes the research into motor themes (driving research areas), basic themes (fundamental and well-established areas), and niche themes (specialized and emerging topics), providing insight into the central and evolving topics. The study also delves into the co-occurrence of all keywords and the co-citation of authors, illustrating the interconnected nature of the research community. A timeline network visualization of country collaborations underscores the global scope of research efforts. Importantly, the study identifies critical research gaps such as underexplored demographics and emerging digital concerns and discusses practical implications, including the need for targeted intervention programs and informed policy-making. Collectively, this study charts the trajectory of social media addiction research and lays a foundation for future explorations to address identified lacunae.

摘要

社交媒体成瘾是一种行为依赖,其特征是对社交媒体平台的过度和强迫性使用,对个人生活的各个方面产生负面影响。文献计量分析是一种用于定量分析学术文献(如文章、书籍和会议论文)的研究方法。它涉及应用统计和数学工具来研究科学出版物中的模式和趋势。这项文献计量研究对社交媒体成瘾的文献进行了全面分析,揭示了该领域内的模式和动态。该研究利用科学网获取文献数据,运用诸如Biblioshiny和CiteSpace等先进的文献计量工具来描绘科学图景。使用Biblioshiny确定了年度科研产出、主要贡献作者、关键来源、热门话题和主题地图。此外,使用CiteSpace创建了网络可视化,如作者的共被引网络、关键词共现的时区网络可视化以及国家合作的时间线网络可视化。我们的研究结果显示,这些年来出版物呈上升趋势,凸显了对社交媒体成瘾重要性的日益认可。我们详细介绍了最相关的作者和来源,确定了塑造该领域论述的关键贡献者和有影响力的期刊。趋势主题分析揭示了流行主题,“网络成瘾”和“青少年”位居前列,反映了该领域对年轻人群体的关注。主题地图将研究分为运动主题(推动研究领域)、基础主题(基础且成熟的领域)和小众主题(专门化和新兴话题),深入了解核心和不断演变的主题。该研究还深入探讨了所有关键词的共现情况以及作者的共被引情况,说明了研究群体的相互联系性质。国家合作的时间线网络可视化突出了研究工作的全球范围。重要的是,该研究确定了关键的研究空白,如未充分探索的人口统计数据和新出现的数字问题,并讨论了实际影响,包括制定有针对性的干预计划和明智政策的必要性。总体而言,这项研究描绘了社交媒体成瘾研究的轨迹,为未来解决已确定的空白的探索奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/4a32a6ece85e/cureus-0016-00000062283-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/408c97aed59b/cureus-0016-00000062283-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/3c27be9645f1/cureus-0016-00000062283-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/b5c8b592f2f0/cureus-0016-00000062283-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/f5f8c6f68062/cureus-0016-00000062283-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/ef08eeac2bb4/cureus-0016-00000062283-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/4a32a6ece85e/cureus-0016-00000062283-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/408c97aed59b/cureus-0016-00000062283-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/3c27be9645f1/cureus-0016-00000062283-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/b5c8b592f2f0/cureus-0016-00000062283-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/f5f8c6f68062/cureus-0016-00000062283-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/ef08eeac2bb4/cureus-0016-00000062283-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cc/11245679/4a32a6ece85e/cureus-0016-00000062283-i06.jpg

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[6]
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[8]
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本文引用的文献

[1]
Bibliometric Evaluation of the 100 Top-Cited Articles on Anesthesiology.

Cureus. 2023-12-22

[2]
Prevalence and causes of social media usage and addiction status of pregnant women.

BMC Womens Health. 2023-12-8

[3]
Social Media Addiction and Poor Mental Health: Examining the Mediating Roles of Internet Addiction and Phubbing.

Psychol Rep. 2025-4

[4]
Bibliometric Analysis on Bibliometric Studies of Case Reports in the Medical Field.

Cureus. 2022-10-4

[5]
A one-year follow-up study of changes in social media addiction and career networking among college students with disabilities.

J Am Coll Health. 2024

[6]
The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey.

Addict Behav. 2017-1

[7]
Face it, don't Facebook it: Impacts of Social Media Addiction on Mindfulness, Coping Strategies and the Consequence on Emotional Exhaustion.

Stress Health. 2016-10

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