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Can I read Analysis of Influence Maximization in Large-scale Social Networks on EtoBox?
Analysis of Influence Maximization in Large-scale Social Networks by Jie Hu; Kun Meng; Xiaomin Chen; Chuang Lin; Jiwei Huang is a Computer Science article available to read on EtoBox.
What is Analysis of Influence Maximization in Large-scale Social Networks about?
Influence maximization is an important problem in online social networks. With the scale of social networks increasing, the requirements of solutions for influence maximization are becoming more and more strict. In this paper, we discuss two basic methods to compute the influence in general social networks, and then reveal that the computation of influence in series-parallel graph is in linear time complexity. Finally, we propose an novel method to solve influence maximization and show that it has a good performance.
Who reads Analysis of Influence Maximization in Large-scale Social Networks?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Jie Hu; Kun Meng; Xiaomin Chen; Chuang Lin; Jiwei Huang
- Publisher
- ACM
- Published
- 2014
- Language
- EN
- Field
- Computer Science (Physical Sciences)
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