Intelligent algorithms for improving communication patterns in thematic P2P search

作者：

Highlights：

• We present algorithms for reducing query propagation in unstructured decentralized P2P networks.

• The proposed algorithms attempt to learn about other peers’ interests.

• Extensive simulations indicate that the most evolved algorithms reduce query propagation and maximize the clustering coefficient of the emergent logical network.

• The emergence of semantic communities can be observed in the resulting logical network.

摘要

•We present algorithms for reducing query propagation in unstructured decentralized P2P networks.•The proposed algorithms attempt to learn about other peers’ interests.•Extensive simulations indicate that the most evolved algorithms reduce query propagation and maximize the clustering coefficient of the emergent logical network.•The emergence of semantic communities can be observed in the resulting logical network.

论文关键词：P2P systems,Thematic search,Semantic communities

论文评审过程：Received 2 July 2014, Revised 29 November 2016, Accepted 2 December 2016, Available online 9 December 2016, Version of Record 9 December 2016.

论文官网地址：https://doi.org/10.1016/j.ipm.2016.12.001