A Team Discovery Model for Crowdsourcing Tasks to Complex Social Networks

摘要：

　　Social network has emerged as an important paradigm in modern business operation.Outsourcing tasks to social network helps organizations to mitigate the shortage of skill or expertise in some domain.Expert team discovery is an important problem in complex collaborative networks.Current expert team discovery models are need to traverse every candidate in expert network until optimal team scheme is found,which would generate massive computational costs.In this paper,a team formation model is proposed to outsource tasks to social networks.In order to reduce searching space of team formation for seeded candidates,the proposed model selects centrality expert list as seeds to obtain a lower communication cost.Moreover,based on the notion of Skyline,the proposed model can effectively and efficiently identify experts by reducing the number of expert candidates.Theoretical analysis and extensive experiments on real and synthetically generated dataset demonstrate the effectiveness and scalability of the proposed method.

关键词： Crowdsourcing,Expert network Social networks Team formation Skyline

作者: Yong Sun WenAn Tan QuanQuan Zhang Anming Zha

会议类型: 国内会议

会议名称: 第10届全国计算机支持的协同工作学术会议暨中国计算机学会协同计算专委年度工作会议

会议地点: 太原

会议语种:英文

页码: 509-519

在线出版日期: 2015-08-28（万方平台首次上网日期，不代表论文的发表时间）