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Volume 38 Issue 4
Apr.  2016
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XU Yuguang, PAN Jingzhi, XIE Huiyang. Minimum Vertex Covering and Feedback Vertex Set-based Algorithm for Influence Maximization in Social Network[J]. Journal of Electronics & Information Technology, 2016, 38(4): 795-802. doi: 10.11999/IEIT160019
Citation: XU Yuguang, PAN Jingzhi, XIE Huiyang. Minimum Vertex Covering and Feedback Vertex Set-based Algorithm for Influence Maximization in Social Network[J]. Journal of Electronics & Information Technology, 2016, 38(4): 795-802. doi: 10.11999/IEIT160019

Minimum Vertex Covering and Feedback Vertex Set-based Algorithm for Influence Maximization in Social Network

doi: 10.11999/IEIT160019
Funds:

The National Natural Science Foundation of China (61370193)

  • Received Date: 2016-01-05
  • Rev Recd Date: 2016-02-26
  • Publish Date: 2016-04-19
  • Influence maximization is an optimization issue of finding a subset of nodes under a given diffusion model, which can maximize the spread of influence. This optimization issue has been proved to be NP-hard. Leveraging the fact that vertices in minimum vertex covering and feedback vertex set are of great importance for the connectivity of a graph, a heuristic algorithm for influence maximization based on Minimum Vertex Covering and Feedback Vertex Set (MVCFVS). Extensive experiments on various diffusion models against state of the art algorithms are carried out. Specifically, the proposed algorithm performs excellent on Independent Cascade Model (ICM) and Weighted Cascade Model (WCM), which exhibits its great advantages in terms of influence range and convergent speed.
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