skip to main content
10.1109/ICDM.2015.129guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Influential Sustainability on Social Networks

Published: 14 November 2015 Publication History

Abstract

In this paper, we study a novel paradigm of viral marketing with the goal to sustain the influential effectiveness in the network. We study from real cases such as the Ice Bucket Challenges for the ALS awareness, and figure out the "easy come and easy go" phenomenon in the marketing promotion. Such a natural property is fully unexplored in the literature, but it will violate the need of many marketing applications which attempt to receive the perpetual attention and support. We thus highlight the problem of Influential Sustainability, to pursue the long-term and effective influence on the network. Given the set of initial seeds S and a threshold ρ, the goal of Influential Sustainability is to best decide the timing to activate each seed in S so as to maximize the number of iterations in which each iteration will activate the number of inactive nodes more than ρ. The Influential Sustainability problem is challenging due to its #P-hard nature. In addition to the greedy idea, we further present three strategies to heuristically decide the activating timing for each seed. As demonstrated in the empirical study on real data, instead of only providing the flexibility of striking a compromise between the execution efficiency and the resulting quality, these heuristic algorithms can be executed highly efficiently and meanwhile it is able to sustain the longer period which can continuously activate inactive nodes effectively. The results demonstrate their prominent advantage to be practical algorithms for the promising viral marketing paradigm.

Cited By

View all
  • (2016)Towards Time-Discounted Influence MaximizationProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983862(1873-1876)Online publication date: 24-Oct-2016

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings
ICDM '15: Proceedings of the 2015 IEEE International Conference on Data Mining (ICDM)
November 2015
1153 pages
ISBN:9781467395045

Publisher

IEEE Computer Society

United States

Publication History

Published: 14 November 2015

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 24 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2016)Towards Time-Discounted Influence MaximizationProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983862(1873-1876)Online publication date: 24-Oct-2016

View Options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media