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    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/75275
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/75275

    Title: Finding leaders with maximum spread of influence through social networks
    Authors: Chen, Arbee L. P.
    Wang, E.T.
    Yeh, T.A.
    Contributors: 資科系
    Keywords: CASCADE model;Influence maximizations;Maximum spread;Pruning strategy;Social influence;Social Networks;Experiments;Intelligent control;Intelligent systems;Social networking (online)
    Date: 2013
    Issue Date: 2015-05-21 17:25:15 (UTC+8)
    Abstract: Social influence is an important phenomenon in social networks. A user is said to be influenced by his/her friends if this user performs the same actions after his/her friends. The problem of influence maximization is to find a small set of users that maximize the spread of influence throughout the social network. Many approaches are proposed to solve this problem under different influence cascade models. In this paper, we propose another solution based on a pruning strategy in which influence boundaries for users are computed to effectively reduce the number of users who have chances to be seeds, thus making the proposed solution efficient. A series of experiments are performed to evaluate the proposed approach and the experiment results reveal that our approach outperforms the previous works. © Springer-Verlag Berlin Heidelberg 2013.
    Relation: Smart Innovation, Systems and Technologies, 20, 269-279
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1007/978-3-642-35452-6_29
    DOI: 10.1007/978-3-642-35452-6_29
    Appears in Collections:[資訊科學系] 期刊論文

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