文献类型：期刊文献

英文题名：A survey on temporal network dynamics with incomplete data

作者：Wu, Xing[1];Mao, Shuai[1];Xiong, Luolin[1];Tang, Yang[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2022

卷号：30

期号：10

起止页码：3786

外文期刊名：ELECTRONIC RESEARCH ARCHIVE

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000848478900001)】；

基金：This work is supported by National Key Research and Development Program of China (2021YFB1714300) , National Natural Science Foundation of China (Key Program: 62136003) , Program of Shanghai Academic Research Leader (20XD1401300) .

语种：英文

外文关键词：temporal network; incomplete data; data processing; coupling process; network characteristics

摘要：With the development of complex network theory, many phenomena on complex networks, such as infectious disease transmission, information spreading and transportation management, can be explained by temporal network dynamics, to reveal the evolution of the real world. Due to the failure of equipment for collecting data, human subjectivity, and false decisions made by machines when the high accuracy is required, data from temporal networks is usually incomplete, which makes the samples unrepresentative and the model analysis more challenging. This survey concentrates on the pre-processing strategies of incomplete data and overviews two categories of methods on data im-putation and prediction, respectively. According to whether each layer in temporal networks has the coupling process, this survey overviews the dynamic modeling approaches in terms of both a single process and coupling processes on complex temporal networks. Moreover, for complex temporal net-works with incomplete data, this survey summarizes various characteristic analysis methods, which concentrate on critical nodes identification, network reconstruction, network recoverity, and criticality. Finally, some future directions are discussed for temporal networks dynamics with incomplete data.