The author argues that considering relationships between non-adjacent users and user attitudes is crucial for accurately predicting information propagation in social networks. By proposing a new model, they aim to improve prediction accuracy and reduce time complexity.
User relationships and attitudes significantly impact information propagation in social networks, necessitating a new model that considers non-adjacent users and user stances.