Variable social vector clocks for exploring user interactions in social communication networks

摘要: Social network communication analysis has drawn widespread attention in recent years. Vector clocks can be applied to capture the most with all other local peers a social network. A modification of conventional vector been previously proposed deal issue poor scalability without keeping whole temporal views. In this paper, our framework maintains low bound how out-of-date each peer respect others, and also considers shortest friendship separation restrict far information may transmitted along time-respecting paths. To quantitatively analyse influence user interactions over different limitations distance, we provide an adaptive incremental updating approach that exactly recover real situation specified upper distance. Experimental results show efficiently exploited improve memory space requirements.