Community Evolution Based on Tensor Decomposition

• 作者: Guanghui Yan Jianyun Ye Yuxuan Liu Zongren Li
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: TENSOR CP DECOMPOSITION COMMUNITY DISCOVERY COMMUNITY EVOLUTION Common THEME
• 年，卷（期）: 2019,（1）
• 页码范围: 73-75
• 页数: 3页
• 分类号: C

摘要

With the high dimensionality of data, the method of tensor decomposition has attracted much attention in the field of data research and analysis. The tensor decomposition is well reflected in the study of high-dimensional data. The existing research uses the results of tensor decomposition to conduct community discovery. Based on the existing research, this paper presents a method to study community evolution using the results of tensor decomposition. The feature matrix obtained by the tensor decomposition algorithm was analyzed, and the real-time activity of the community with the feature matrix with time slice direction was studied to obtain the event process of community evolution. Experimental results in real data sets show that this method can well analyze dynamic events in the dataset and community evolution events.