RELISON
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Get started

  • Introduction
  • Install RELISON
  • License
  • Contact

Network basics

  • Networks
  • Properties of a graph
  • Creation of empty graphs
  • Reading / writing graphs
  • Graph manipulation
  • Accessing the properties of a network

Social network analysis

  • Social network analysis
  • Experimental configuration
  • Integrate structural metrics in a Java project
  • Structural metrics summary

Community detection

  • Community detection
  • Experimental configuration
  • Integrate communities in a Java project
  • Community detection algorithms summary

Link recommendation

  • Link prediction and recommendation
  • Data preparation
  • Experimental configuration
  • Integrate link recommendation / prediction functionalities in a Java project
  • Link prediction/recommendation algorithms summary
  • Link prediction/recommendation metrics summary
    • Accuracy metrics
    • Diversity metrics
    • Novelty metrics
    • Metrics

Information diffusion

  • Information diffusion
  • Simulation description
  • Experimental configuration
  • Evaluation of the information diffusion process
  • Diffusion protocol summary
  • Information diffusion metrics summary

Graph generation

  • Graph generation
  • Graph generation algorithms
RELISON
  • Link prediction/recommendation metrics summary
  • Edit on GitHub

Link prediction/recommendation metrics summary

In order to determine the effectiveness of our algorithms, it is necessary to evaluate them. For this, we provide a series of metrics: RELISON provides implementations of several metric types:

Link recommendation

  • Accuracy metrics
  • Diversity metrics
  • Novelty metrics

Link prediction

  • Metrics
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© Copyright 2021, Information Retrieval Group @ Universidad Autónoma de Madrid (http:\ir.ii.uam.es). Revision 48dae3fd.

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