基于Louvain社区发现算法的老年智能家居领域技术融合识别

Hong Miao, Xin Guo, Feifei Wu
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引用次数: 3

摘要

基于Python构造的专利共现矩阵,构建技术收敛网络,分析各技术节点的收敛程度。据此,采用LOUVAIN社区发现算法对技术节点进行聚类,形成社区结构网络,并在模块度增益的基础上确定技术节点在社区中的分布,以突出网络中技术融合前后的差异,提高技术融合领域的层次性和清晰度。在此基础上,确定老年智能家居的技术融合领域。研究发现,在老年智能家居领域,传感器技术与定位技术的融合在老年安全监控领域更为普遍;去污技术与检测技术的融合,在老年人家居清洁界得到了较好的普及。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of the Technology Convergence in the Field of Elderly Smart Home Based on Louvain Community Discovery Algorithm
Based on the patent co-occurrence matrix constructed by Python, this study constructs a technology convergence network and analyzes the convergence degree of each technology node. According to this, the LOUVAIN community discovery algorithm is used to cluster the technology nodes to form a community structure network and determine the distribution of technology nodes in the community on the basis of the module degree gain, in order to highlight the differences before and after technology convergence in the network, and improve the hierarchical and clarity of technology convergence field.On this basis, identify the of technology convergence field of elderly smart home. The study found that in the field of elderly smart home, the convergence of sensor technology and positioning technology was more widespread in the elderly safety monitoring community; the convergence of decontamination technology and detection technology widespread better in the elderly household cleaning community.
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