Title
Quality-Aware Incentive Mechanisms Under Social Influences in Data Crowdsourcing
Abstract
Incentive mechanism design and quality control are two key challenges in data crowdsourcing, because of the need for recruitment of crowd users and their limited capabilities. Without considering users’ social influences, existing mechanisms often result in low efficiency in terms of the platform’s cost. In this paper, we exploit social influences among users as incentives to motivate users’ parti...
Year
DOI
Venue
2022
10.1109/TNET.2021.3105427
IEEE/ACM Transactions on Networking
Keywords
DocType
Volume
Crowdsourcing,Task analysis,Data integrity,Recruitment,Sensors,IEEE transactions,Correlation
Journal
30
Issue
ISSN
Citations 
1
1063-6692
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Zhiguo Shi124626.13
Guang Yang240.72
Xiaowen Gong311.03
Shibo He400.34
Jiming Chen54389238.91