A Signed Social Network Dataset from YouTube Comments

Signed social networks, characterized by positive and negative attributes on their edges, offer a nuanced view of relationships between users. However, most existing datasets are outdated and fail to capture current social dynamics. Additionally, as an important type, neutral links are not considered in most datasets. Hence, this paper introduces a novel signed social network dataset based on recent comments from YouTube videos in 2024. Unlike most traditional datasets, our dataset includes three types of relationships—positive, negative, and neutral—providing a more comprehensive representation of user interactions. Thus, our dataset can provide a more updated and diverse data for signed network research.