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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Finding communities in directed networks.

Youngdo Kim1, Seung-Woo Son, Hawoong Jeong

  • 1Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon, Korea.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 7, 2010
PubMed
Summary
This summary is machine-generated.

We introduce LinkRank, a generalized modularity for directed networks, enabling effective community detection. This method adapts existing techniques for analyzing citation networks and similar structures.

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Area of Science:

  • Network Science
  • Graph Theory
  • Data Mining

Background:

  • Community detection is crucial for understanding network structures.
  • Existing modularity measures are primarily designed for undirected networks.
  • Directed networks, common in citations and references, require specialized community detection methods.

Purpose of the Study:

  • To generalize modularity for directed networks.
  • To introduce LinkRank as a PageRank-inspired metric for link importance.
  • To enable the application of existing modularity optimization techniques to directed networks.

Main Methods:

  • Proposed a generalized modularity for directed networks using LinkRank.
  • Demonstrated consistency with traditional modularity in undirected networks.
  • Developed a benchmark model network for validation.

Main Results:

  • LinkRank effectively generalizes modularity to directed networks.
  • Existing modularity optimization methods are directly applicable.
  • The proposed benchmark network aids in evaluating community detection algorithms.

Conclusions:

  • The LinkRank-based modularity provides an effective approach for community detection in directed networks.
  • This method is particularly suitable for citation and reference networks.
  • Facilitates the use of established community detection tools on directed graph data.