Research on the Agorithm based on the Influence of the Sports Live Broadcast on the Network 

Zhike KUANG 

Hunan City University, Yiyang, Hunan, 413000, CHINA 

Abstract: Since HH algorithm is very costly, it cannot be applied to large social networks. Also, HH algo-rithm could not guarantee the best influence spread. In this paper, based on the “influence accumulation” property of the LT model and by synthesizing the advantages of the degree centrality and the greedy algo-rithm, a framework of the algorithm for influence maximization is proposed, and a new hybrid algorithm for influence maximization is given. The experimental results show that compared with HH algorithm, the algo-rithm proposed in this paper has a very good improvement in the aspect of the scope of influence, and it is better than HH algorithm in the aspect of time complexity. 

Keywords: Propagation model; Linear threshold; Node selection; Potential-influence