--- license: mit --- # 🤝 Social Ties in Informal Conversations about ASD and ADHD This dataset supports the study of **informal online social interactions** related to **Autism Spectrum Disorder (ASD)** and **Attention-Deficit/Hyperactivity Disorder (ADHD)**. The focus is on modeling and visualizing **user social networks** and analyzing interactions in community question answering and health forums using **graph-based approaches**. It was introduced in the following paper: > Naghmeh Jamali, Mobin Nesari, and Zahra Rezvani. (2023). *Exploring Social Ties in Informal Conversations about ASD and ADHD: A Graph-Based Approach.* IEEE COINS 2023. --- ## 📦 Dataset Structure The dataset contains: - Thread-level conversations about ASD and ADHD - User-level interactions, including replies and mentions - Graph-structured data indicating ties between participants - Metadata and disorder classification (ASD vs. ADHD) ### Data Fields | Field | Description | |----------------|-----------------------------------------------------| | `thread_id` | Unique ID of the conversation thread | | `user_id` | Anonymized identifier of each user | | `timestamp` | Post date/time | | `text` | Raw content of the user's post/comment | | `reply_to` | User/post being replied to | | `disorder` | Either `"ASD"` or `"ADHD"` | | `graph_features` | Optional extracted features (e.g., centrality) | --- ## 🧠 Applications This dataset can be used for: - Social Network Analysis (SNA) in medical online forums - Graph-based modeling of conversations - Community detection and role analysis - Behavioral and linguistic study of users discussing NDDs - Mental health informatics and social signal processing --- ## 📊 Dataset Highlights - **Domains**: ASD & ADHD (Neurodevelopmental Disorders) - **Language**: Persian - **Source**: Public medical/caregiving online forums - **Data Type**: Text + Graph structure - **Labels**: Disorder type, interaction edges --- ## 📚 Citation If you use this dataset, please cite the following paper: ```bibtex @INPROCEEDINGS{10189301, author = {Jamali, Naghmeh and Nesari, Mobin and Rezvani, Zahra}, booktitle = {2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS)}, title = {Exploring Social Ties in Informal Conversations about ASD and ADHD: A Graph-Based Approach}, year = {2023}, pages = {1--6}, keywords = {Visualization;Pediatrics;Protocols;Social networking (online);Oral communication;Feature extraction;Size measurement;Social Network Analysis (SNA);Neurodevelopmental Disorders (NND);Graph Theory;Centrality Measures;Graph Mining}, doi = {10.1109/COINS57856.2023.10189301} }