Influence maximization in social networks based on TOPSIS

作者：

Highlights：

• Influence maximization in complex networks is a significant problem.

• Seeds Distance is an effective parameter on the success of the spreading process.

• Nodes influence and nodes overlap are both taken into account to select seeds.

• TOPSIS method is applied to specify ideal nodes.

• Experiments show better results as compared to the state-of-the-art methods.

摘要

•Influence maximization in complex networks is a significant problem.•Seeds Distance is an effective parameter on the success of the spreading process.•Nodes influence and nodes overlap are both taken into account to select seeds.•TOPSIS method is applied to specify ideal nodes.•Experiments show better results as compared to the state-of-the-art methods.

论文关键词：Social networks,Information spreading,Influence maximization,Influential nodes,TOPSIS method

论文评审过程：Received 11 November 2017, Revised 5 April 2018, Accepted 1 May 2018, Available online 2 May 2018, Version of Record 10 May 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.05.001