A cooperative cost task allocation method and system based on conceptual grids in a social network

Abstract

The invention discloses a cooperative cost task allocation method and system based on conceptual grids in a social network. The method comprises the following steps: a social network, tasks in the social network, participants in the social network and skills of the participants are modeled to obtain a task distribution system model; Small groups in a social network are obtained through form concept analysis, based on the internal strong connection attributes of the small groups, participants meeting the skill requirements of the tasks are recruited for the tasks, the strong connection groups sufficient for completing the tasks are quickly obtained, and the completion efficiency of the cooperative tasks is improved. According to the technical scheme, on the basis of the close contact characteristic between small group members in the social network, namely, any member can represent the whole small group, experts are selected from different small groups to construct the weak contact group, the group is constructed in an omnibearing and multi-level manner, and the fairness of competitive tasks is ensured. Compared with an existing task allocation algorithm, the method provided by the invention has the advantage that the performance of cooperation cost, team scale, operation time and the like is remarkably improved.

Description

technical field [0001] The invention relates to a social network, in particular to a concept lattice-based collaborative cost task assignment method and system in the social network. Background technique [0002] A complex task often requires collaboration among participants in a team. For example, for an Internet financial project, a technical team of experts from different fields such as software development and financial analysis is required to ensure the smooth completion of the project. Therefore, the selection of participants and the formation of an efficient team are the guarantees for the successful completion of collaborative tasks in social networks. Studies have shown that the social relationship among participants has an important impact on the efficiency of task completion. Teams with low collaboration costs can improve the quality of collaborative tasks, while teams with high collaboration costs can ensure the fairness of competitive tasks. [0003] In socia...

AI Technical Summary

Problems solved by technology

[0006] For the problems existing in existing algorithms, the purpose of the present invention is to provide a concept lattice-based collaborative cost task assignment method and system thereof in social networks, and solve the problem of obtaining a strong enough connection team to complete the task in the existing collaborative cost task assignment method Slow and unable to guarantee global optimal technical problems

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