典型文献
iNet:visual analysis of irregular transition in multivariate dynamic networks
文献摘要：
Multivariate dynamic networks indicate networks whose topology structure and vertex attributes are evolving along time.They are common in multimedia applications.Anomaly detection is one of the essential tasks in analyzing these networks though it is not well addressed.In this paper,we combine a rare category detection method and visualization techniques to help users to identify and analyze anomalies in multivariate dynamic networks.We conclude features of rare categories and two types of anomalies of rare categories.Then we present a novel rare category detection method,called DIRAD,to detect rare category candidates with anomalies.We develop a prototype system called iNet,which integrates two major visualization components,including a glyph-based rare category identifier,which helps users to identify rare categories among detected substructures,a major view,which assists users to analyze and interpret the anomalies of rare categories in network topology and vertex attributes.Evaluations,including an algorithm performance evaluation,a case study,and a user study,are conducted to test the effectiveness of proposed methods.
文献关键词：
中图分类号：
作者姓名：
Dongming HAN;Jiacheng PAN;Rusheng PAN;Dawei ZHOU;Nan CAO;Jingrui HE;Mingliang XU;Wei CHEN
作者机构：
State Key Lab of CAD&CG,Zhejiang University,Hangzhou 310058,China;Department of Computer Science and Engineering,Arizona State University,Arizona 85287,America;Tong Ji Intelligent Big Data Visualisation Lab(iDVx Lab),TongJi University,Shanghai 200082,China;Department of Computer Science and Technology,Zhengzhou University,Zhengzhou 450001,China
文献出处：
引用格式：
[1]Dongming HAN;Jiacheng PAN;Rusheng PAN;Dawei ZHOU;Nan CAO;Jingrui HE;Mingliang XU;Wei CHEN-.iNet:visual analysis of irregular transition in multivariate dynamic networks)[J].计算机科学前沿,2022(02):117-132
A类：
iNet,DIRAD,glyph
B类：
analysis,irregular,transition,multivariate,dynamic,networks,Multivariate,indicate,whose,topology,vertex,attributes,evolving,along,They,common,multimedia,applications,Anomaly,detection,essential,tasks,analyzing,these,though,not,well,addressed,In,this,paper,combine,rare,category,visualization,techniques,users,identify,analyze,anomalies,We,conclude,features,categories,types,Then,present,novel,called,candidates,develop,prototype,system,which,integrates,major,components,including,identifier,helps,among,detected,substructures,view,assists,interpret,Evaluations,algorithm,performance,evaluation,case,study,conducted,test,effectiveness,proposed,methods
AB值：
0.499184
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