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    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/74597
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/74597


    Title: Simulating sharing behavior in social networking sites
    Authors: Lin, Qing-Feng;Yang, Heng-Li
    楊亨利
    Contributors: 資管系
    Keywords: Case selections;Content customization;Content design;Content Sharing;Evolution strategies;Historical data;share behavior;simulation;Simulation parameters;social networking site;Social networking sites;Data mining;Information technology;Marketing;Social networking (online);Social sciences computing
    Date: 2011-10
    Issue Date: 2015-04-15 15:43:26 (UTC+8)
    Abstract: The explosion in social networking sites allows people interact with friends on web more frequently and easily. Thus, applications on social networking such like the social networking advertising have been regarded as a wonderful opportunity for marketing. In this study, we try to simulate the content sharing behavior in social networking sites and we optimize simulation parameters by using evolution strategy method with historical data and finally we build a system for predicting audience number and reaction information before sharing. The simulated information can be applied in marketing case selection, content design and content customization. © 2011 AICIT.
    Relation: Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011,論文編號 6108424, 180-183
    Data Type: conference
    Appears in Collections:[資訊管理學系] 會議論文

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