research-article

Increasing Coverage of Information Diffusion Processes by Reducing the Number of Initial Seeds

Authors:

Jarosław Jankowski,

Radosław Michalski,

Artur KarczmarczykAuthors Info & Claims

ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

Pages 713 - 720

https://doi.org/10.1145/3110025.3110148

Published: 31 July 2017 Publication History

Abstract

Initialization of information spreading processes within complex networks is usually based on selection of initial nodes as a seed set. While most methods are choosing seeds in a single stage, another possible option is a partial budget usage in the first stage and spending the remaining budget while the process develops. In this paper we analyze how the ratio of seeds used in the primary and supporting stages affects the performance in terms of number of activated nodes and its duration. We have used real networks and agent based simulations with various parameters including different propagation probabilities, nodes selection strategies and number of seeds. Results show that coverage can be improved by minimizing the number of seeds used in primary seeding and increasing it in supporting seeding. Delaying the use of supporting seeds better supports natural diffusion processes and avoids selection of seeds with high potential to be activated anyway.

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Cited By

Tang JZhao FZhang RChai BDi S(2021)A sequential seed scheduling heuristic based on determinate and latent margin for influence maximization problem with limited budgetInternational Journal of Modern Physics C10.1142/S012918312150079032:06(2150079)Online publication date: 3-Mar-2021
https://doi.org/10.1142/S0129183121500790

Increasing Coverage of Information Diffusion Processes by Reducing the Number of Initial Seeds
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
2. Information systems
  1. Information retrieval

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cover image ACM Conferences

ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

July 2017

698 pages

ISBN:9781450349932

DOI:10.1145/3110025

Copyright © 2017 ACM.

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Published: 31 July 2017

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ASONAM '17: Advances in Social Networks Analysis and Mining 2017

July 31 - August 3, 2017

Sydney, Australia

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Cited By

Tang JZhao FZhang RChai BDi S(2021)A sequential seed scheduling heuristic based on determinate and latent margin for influence maximization problem with limited budgetInternational Journal of Modern Physics C10.1142/S012918312150079032:06(2150079)Online publication date: 3-Mar-2021
https://doi.org/10.1142/S0129183121500790

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