Influence Maximization Algorithms Research Based on Big Graphs

Guigang Zhang, Chuanchuan You
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Abstract

Unlike the traditional methods, such as the Independent Cascade Model and Liner Threshold Model. In this paper, we propose a kind of new Degree-priority heuristic IM algorithm in a big graph. We prove this algorithm. We do some experiments and make some comaparision between the Degree-priority heuristic IM algorithm and traditional IM algorithm.
基于大图的影响最大化算法研究
不同于传统的方法,如独立级联模型和线性阈值模型。本文提出了一种新的大图下的度优先启发式IM算法。我们证明了这个算法。我们做了一些实验,并将度优先启发式IM算法与传统IM算法进行了比较。
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