
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.


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ra-icm-a-novel-independent-cascade-model-incorporating-user-relationships-and-attitudes


RA-ICM: A Novel Independent Cascade Model Incorporating User Relationships and Attitudes


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User relationships and attitudes significantly impact information propagation in social networks, necessitating a new model that considers non-adjacent users and user stances.
