Title :
Attribute fusion in a latent process model for time series of graphs
Author :
Priebe, Carey E. ; Lee, Nam H. ; Park, Youngser ; Tang, Minh
Author_Institution :
Dept. of Appl. Math. & Stat., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
We consider anomaly/change point detection given a time series of graphs with categorical attributes on the edges. Various attributed graph invariants are considered, and their power for detection as a function of a linear fusion parameter is presented.
Keywords :
graph theory; time series; attribute fusion; attributed graph invariants; latent process model; linear fusion parameter; time series; Approximation methods; Computational modeling; Data models; Mathematical model; Monte Carlo methods; Social network services; Time series analysis; Anomaly Detection; Attributed Random Graphs; Fusion; Random Dot Product Graphs;
Conference_Titel :
Statistical Signal Processing Workshop (SSP), 2011 IEEE
Conference_Location :
Nice
Print_ISBN :
978-1-4577-0569-4
DOI :
10.1109/SSP.2011.5967746
