Source identification of infectious diseases in networks via label ranking.

ABSTRACT:

Background

Outbreaks of infectious diseases would cause great losses to the human society. Source identification in networks has drawn considerable interest in order to understand and control the infectious disease propagation processes. Unsatisfactory accuracy and high time complexity are major obstacles to practical applications under various real-world situations for existing source identification algorithms.

Methods

This study attempts to measure the possibility for nodes to become the infection source through label ranking. A unified Label Ranking framework for source identification with complete observation and snapshot is proposed. Firstly, a basic label ranking algorithm with complete observation of the network considering both infected and uninfected nodes is design

SUBMITTER: Zhou J 

PROVIDER: S-EPMC7808631 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature