Abstract
خوب برای shortest path 1) we improve the basic greedy algorithm, limiting the influence spread in a neighbor space to reduce the running time. We use the DAG and the recursion method to calculate the influence spread of each node. Also we transform this problem to a reachable probability query problem in an uncertain graph; 2) we present a more accurate degree discount heuristic algorithm which considers the relationship between the node and its neighbors.
Cite
CITATION STYLE
Shi, X., Wang, H., Li, J., & Gao, H. (2013). Influence Spread Maximization in Social Network. International Journal of Information and Education Technology, 660–666. https://doi.org/10.7763/ijiet.2013.v3.357
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