Temporal network alignment via GoT-WAVE

Abstract

Network alignment (NA) finds conserved regions between two networks. NA methods optimize node conservation (NC) and edge conservation. Dynamic graphlet degree vectors are a state-of-the-art dynamic NC measure, used within the fastest and most accurate NA method for temporal networks: DynaWAVE. Here, we use graphlet-orbit transitions (GoTs), a different graphlet-based measure of temporal node similarity, as a new dynamic NC measure within DynaWAVE, resulting in GoT-WAVE.

Document Details

Document Type
Pub Defense Publication
Publication Date
Feb 13, 2019
Source ID
10.1093/bioinformatics/btz119

Entities

People

  • David Aparício
  • Fernando Silva
  • Pedro Ribeiro
  • Tijana Milenković

Organizations

  • Air Force Office of Scientific Research
  • Fundação para a Ciência e Tecnologia
  • University of Notre Dame
  • University of Porto

Tags

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Coastal Oceanography
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.

Technology Areas

  • Space