Get paper from

journal cover

Null Models for Community Detection in Spatially-Embedded, Temporal Networks

bioRxiv

Jul 24, 2014

Marta SarzynskaMason A. Porter

Get paper from

Abstract

In the study of networks, it is often insightful to use algorithms to determine mesoscale features such as \``community structure'', in which densely connected sets of nodes constitute \`\`communities'' that have sparse connections to other communities. The most popular way of detecting...read more

Mentioned in this Paper

Study
Anatomic Node
Detection
Population Group
Randomization
Structure
Dengue fever vaccine
Spatial Distribution
Dengue Fever
5
20
Paper Details
References
    • References
    • Citations

      References currently unavailable

      We're still populating references for this paper, please check back later.
    • References
    • Citations

      No citations available

      This paper may not have been cited yet.
  • Null Models for Community Detection in Spatially-Embedded, Temporal Networks

    bioRxiv

    Jul 24, 2014

    Marta SarzynskaMason A. Porter

    PMID: 990007435

    DOI: 10.1101/007435

    Abstract

    In the study of networks, it is often insightful to use algorithms to determine mesoscale features such as \``community structure'', in which densely connected sets of nodes constitute \`\`communities'' that have sparse connections to other communities. The most popular way of detecting...read more

    Mentioned in this Paper

    Study
    Anatomic Node
    Detection
    Population Group
    Randomization
    5
    20

    Related Papers

    Paper Details
    References
    • References
    • Citations

      References currently unavailable

      We're still populating references for this paper, please check back later.
    • References
    • Citations

      No citations available

      This paper may not have been cited yet.
  • Get paper from

    © 2019 Meta ULC. All rights reserved.
    /papers/null-models-for-community-detection-in-spatially-e/990007435