Global Research Dataset on Social Media in Entrepreneurial Startup (2009–2024)

This dataset represents a comprehensive effort to capture the global trajectory of research on social media in entrepreneurial startups over the past decade and a half. It covers bibliometric records collected from 2009 to 2024, with modeling projections extending into 2025–2034 to anticipate future scholarly developments. The collection draws exclusively from peer-reviewed documents indexed in Scopus, comprising 462 publications authored by 1,195 scholars from 72 countries and disseminated across 365 distinct sources. Each record was selected based on rigorous inclusion criteria, ensuring relevance to the topic, complete coverage within the annual timespan, peer-review status, and accessibility for analysis.The dataset provides rich bibliometric metadata, including authors, titles, abstracts, keywords, affiliations, DOIs, funding details, and references, enabling both quantitative mapping and qualitative insights. Analytical outputs are organized into multiple formats: CSV files for raw bibliometric data; PNG images for thematic maps, trend topic visualizations, and research flowcharts; and CSV and PNG outputs for annual publication trajectories and polynomial regression-based modeling projections. Visualization and analysis were conducted using Microsoft Excel for summary statistics, R Biblioshiny for thematic and trend mapping, and Python for projection modeling.By combining bibliometric mapping with predictive modeling, this dataset offers a unique foundation for studying knowledge production, international collaboration, and research dynamics in the intersection of social media and startup entrepreneurship. It is designed as an open data resource to facilitate replication, encourage comparative studies across domains, and support evidence-based decision-making for scholars, practitioners, and policymakers engaging with the evolving digital entrepreneurship ecosystem.

本数据集是一项系统性研究成果，旨在完整捕捉过去十五年间创业初创企业社交媒体领域相关研究的全球发展轨迹。
其涵盖2009年至2024年间收录的文献计量（bibliometric）记录，并构建建模预测模型延伸至2025至2034年，以预判未来学术研究的发展态势。
该数据集仅收录斯科普斯（Scopus）数据库索引的同行评议文献，共计包含462篇学术成果，由来自72个国家的1195位学者撰写，发表于365种不同的学术来源中。每条记录均经过严格的纳入标准筛选，确保其与研究主题高度相关、完整覆盖各年度的研究周期、具备同行评议资质且可用于后续分析工作。

本数据集包含丰富的文献计量元数据，涵盖作者、标题、摘要、关键词、作者机构、数字对象标识符（Digital Object Identifier, DOI）、基金资助详情及参考文献列表，可支持定量图谱绘制与定性分析两类研究方向。分析输出文件采用多种格式存储：原始文献计量数据以逗号分隔值（Comma-Separated Values, CSV）格式存储；主题图谱、趋势主题可视化成果及研究流程图以便携式网络图形（Portable Network Graphics, PNG）格式输出；年度发表轨迹及基于多项式回归的建模预测结果则同时提供CSV与PNG格式文件。可视化与分析工作依托多款工具完成：使用Microsoft Excel进行汇总统计分析，使用R Biblioshiny开展主题与趋势图谱绘制，使用Python完成预测建模工作。

本数据集将文献计量图谱绘制与预测建模相结合，为研究社交媒体与创业初创企业交叉领域的知识生产、国际学术合作及研究动态提供了独特的研究基础。
本数据集作为开放数据资源打造，旨在方便研究成果复现、推动跨领域比较研究，并为关注不断演进的数字创业生态的学者、从业者与政策制定者提供循证决策支持。