Optimizing crowd performance through collective intelligence-based system design An application on social network information diffusion

被引：0
|
作者：
Lykourentzou, Ioanna [1 ]
Vergados, Dimitrios J. [2 ]
机构：
[1] Ctr Rech Publ Henri Tudor, 29 Av JF Kennedy, Luxembourg, Luxembourg
[2] Natl Tech Univ Athens, Sch Elect & Comp Engn, GR-15773 Athens, Greece
来源：
2012 SEVENTH INTERNATIONAL WORKSHOP ON SEMANTIC AND SOCIAL MEDIA ADAPTATION AND PERSONALIZATION (SMAP 2012) | 2012年
关键词：
intelligence; crowd performance optimization; crowd simulation; ENCYCLOPEDIAS;
D O I：
10.1109/SMAP.2012.18
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In this paper we propose a novel system design approach to improve the performance of large-scale user communities interacting towards a collective goal. The proposed approach has been applied on the example case of social network information diffusion and results show that it helped the participating community achieve less spam and improved information coverage.
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页码：17 / 22
页数：6
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