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license: mit
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# 🤝 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.
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## 📦 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) |
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## 🧠 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
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## 📊 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
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## 📚 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}
}
|