metadata
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:
@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}
}