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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/74652


    Title: Dynamic selection of activation targets to boost the influence spread in social networks
    Authors: Li, C.-T.;Shan, Man-Kwan;Lin, Shou-De
    沈錳坤;林守德
    Contributors: 資科系
    Keywords: Active node;Dynamic selection;Influence maximizations;Neighboring nodes;Social Networks;Target selection;Viral marketing;Social networking (online);World Wide Web;Sales
    Date: 2012
    Issue Date: 2015-04-17 10:55:45 (UTC+8)
    Abstract: This paper aims to combine the viral marketing with the idea of direct selling to for influence maximization in a social network. In direct selling, producers can sell the products directly to the consumers without having to go through a cascade of wholesalers. Through direct selling, it is possible to sell the products in a more efficient and economic manner. Motivated by this idea, we propose a target-selecting independent cascade (TIC) model, in which during influence propagation each active node can give up to attempt to influence some neighboring nodes, named victims, who are hard to affect, and try to activate friends of its friends, termed destinations, who could have higher potential to increase the influence spread. The next question to ask is that given a social network and a set of seeds for influence propagation under TIC model, how to effectively select targets (i.e., victims and destinations) for the attempts of activation during propagation to boost the influence spread. We propose and evaluate three heuristics for the target selection. Experiments show that selecting targets based on influence probability between nodes have the highest boost of influence spread. Copyright is held by the author/owner(s).
    Relation: WWW`12 - Proceedings of the 21st Annual Conference on World Wide Web Companion
    Data Type: conference
    DOI link: http://dx.doi.org/10.1145/2187980.2188127
    DOI: 10.1145/2187980.2188127
    Appears in Collections:[Department of Computer Science ] Proceedings

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