DocumentCode :
589346
Title :
Optimizing Crowd Performance through Collective Intelligence-Based System Design: An Application on Social Network Information Diffusion
Author :
Lykourentzou, Ioanna ; Vergados, Dimitrios J.
Author_Institution :
Centre de Rech. Public Henri Tudor, Eschl Alzette, Luxembourg
fYear :
2012
fDate :
3-4 Dec. 2012
Firstpage :
17
Lastpage :
22
Abstract :
In this paper we propose a novel system design approach to improve the performance of large-scale interacting user communities 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.
Keywords :
Internet; social networking (online); collective goal; collective intelligence-based system design; crowd performance optimization; information coverage; large-scale interacting user communities; social network information diffusion; Benchmark testing; Communities; Estimation; Humans; Machine intelligence; Resource management; Social network services; Collective intelligence; crowd performance optimization; crowd simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic and Social Media Adaptation and Personalization (SMAP), 2012 Seventh International Workshop on
Conference_Location :
Luxembourg
Print_ISBN :
978-1-4673-4563-7
Type :
conf
DOI :
10.1109/SMAP.2012.18
Filename :
6406843
Link To Document :
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