Adaptive agent based progressive community discovery method

Abstract

The invention discloses an adaptive agent based progressive community discovery method. By introducing at least two agent selection standards and designing at least two agent selection policies, a community that a community initiator subjectively expects to discover is realized. By introducing three agent selection standards of node activeness, inter-node social relationships and node effectiveness, and designing the multiple agent selection policies, it is ensured that the discovered community meets the subjective expectation of the community initiator, and the personal privacy of community participants is well protected.

Description

technical field [0001] The invention belongs to the technical field of network community discovery methods, and relates to a progressive community discovery method based on an adaptive agent. Background technique [0002] Community discovery based on subjective needs is generally initiated by users, with the purpose of creating social interaction opportunities to achieve or satisfy a certain subjective intention or demand, such as completing a task, holding an event, and so on. Generally speaking, regardless of the specific purpose, the community discovery mechanism based on subjective needs has a unified model, that is, to discover and organize individuals who meet specific needs, so that they can interact in a dynamic community and achieve their goals. [0003] The widespread popularity of smart portable devices has led human society to step into the era of mobile internet. On the one hand, the wireless communication and real-time perception capabilities of smart portable...

AI Technical Summary

Problems solved by technology

Second, under the community discovery mechanism based on opportunity propagation, proxy nodes need to continuously match with other nodes to decide whether to invite them to join the community, which brings about the problem of user privacy protection

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