CRAN

TNC 0.1.0

Temporal Network Centrality (TNC) Measures

Released Sep 6, 2017 by Moritz Hanke

This package can be loaded by Renjin but 3 out 43 tests failed.

Node centrality measures for temporal networks. Available measures are temporal degree centrality, temporal closeness centrality and temporal betweenness centrality defined by Kim and Anderson (2012) . Applying the REN algorithm by Hanke and Foraita (2017) when calculating the centrality measures keeps the computational running time linear in the number of graph snapshots. Further, all methods can run in parallel up to the number of nodes in the network.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>TNC</artifactId>
    <version>0.1.0-b12</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

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Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:TNC')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 1, 2018.

Source

R

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Release History