Graph-Based Social Media Data on Mental Health Topics

This dataset is structured as a graph, where nodes represent users and edges capture their interactions, including tweets, retweets, replies, and mentions. Each node provides detailed user attributes, such as unique ID, follower and following counts, and verification status, offering insights into each user's identity, role, and influence in the mental health discourse. The edges illustrate user interactions, highlighting engagement patterns and types of content that drive responses, such as tweet impressions. This interconnected structure enables sentiment analysis and public reaction studies, allowing researchers to explore engagement trends and identify the mental health topics that resonate most with users.

The dataset consists of three files:
1. Edges Data: Contains graph data essential for social network analysis, including fields for UserID (Source), UserID (Destination), Post/Tweet ID, and Date of Relationship. This file enables analysis of user connections without including tweet content, maintaining compliance with Twitter/X’s data-sharing policies.
2. Nodes Data: Offers user-specific details relevant to network analysis, including UserID, Account Creation Date, Follower and Following counts, Verified Status, and Date Joined Twitter. This file allows researchers to examine user behavior (e.g., identifying influential users or spam-like accounts) without direct reference to tweet content.
3. Twitter/X Content Data: This file contains only the raw tweet text as a single-column dataset, without associated user identifiers or metadata. By isolating the text, we ensure alignment with anonymization standards observed in similar published datasets, safeguarding user privacy in compliance with Twitter/X's data guidelines. This content is crucial for addressing the research focus on mental health discourse in social media. (References to prior Data in Brief publications involving Twitter/X data informed the dataset's structure.)

本数据集以图结构（graph）组织，其中节点（node）代表用户，边（edge）用于记录用户间的互动行为，涵盖推文、转发、回复与提及操作。每个节点包含详细的用户属性，如唯一标识符（ID）、粉丝数、关注数及认证状态，可用于解析用户在心理健康话语中的身份、角色与影响力。边则直观展现用户间的互动关系，揭示驱动互动的参与模式与内容类型（如推文曝光量）。这种互联结构可为情感分析与公众反应研究提供支撑，帮助研究者探索互动趋势，并识别最能引发用户共鸣的心理健康话题。

本数据集包含三个文件：
1. 边数据文件：包含社交网络分析（Social Network Analysis）所需的核心图数据，字段涵盖源用户ID（UserID (Source)）、目标用户ID（UserID (Destination)）、帖子/推文ID（Post/Tweet ID）以及互动关系创建日期（Date of Relationship）。该文件仅存储用户连接关系数据，不包含推文内容，符合Twitter/X的数据共享政策要求。
2. 节点数据文件：提供网络分析所需的用户专属详细信息，包括用户ID（UserID）、账号创建日期、粉丝数、关注数、认证状态（Verified Status）以及加入Twitter/X的日期。该文件可帮助研究者分析用户行为（如识别影响力用户或疑似垃圾账号），无需直接关联推文内容。
3. Twitter/X 内容数据文件：该文件仅包含单列的原始推文文本，未附带用户标识符或元数据。通过仅保留文本内容，本数据集符合同类已发表数据集的匿名化标准，遵循Twitter/X的数据规范以保护用户隐私。该文本数据是研究社交媒体中心理健康话语的核心支撑。（本数据集的结构参考了此前基于Twitter/X数据的《数据简报》（Data in Brief）系列出版物的设计思路。）