Prominence convergence in the strategy coordination of crowdsourcing workers

Abstract

With the increasing complexity of tasks in crowdsourcing, researchers begin to employ how a group of workers complete complex tasks collaboratively. In most works, workers often complete tasks independently and the final results are integrated by the requester or the crowdsourcing platform. We observe that the results of workers' task execution may be affected by their social relationships in crowdsourcing platforms; in the process of task execution, workers may adaptively adjust and coordinate their own strategies according to their preferences and the interactions with other workers. Based on the above findings and inspired by the coordination mechanism in multi-agent system, this paper studies the strategy coordination mechanism of crowdsourcing workers, i.e., workers have different social statuses and strategies, and they will change their strategy through the interaction with other workers. This paper firstly defines the synchronization ability of workers and proposes a crowdsourcing worker synchronization network model. Thus, the final strategies of workers are the result of continuous coordination in the synchronization network. By using this model, this paper also explores the phenomenon of workers' prominence strategy, and finally conduct experimental tests in different environments. The experimental results demonstrate the correctness of the model proposed in this paper.