diff --git a/README.md b/README.md
index 73e996a..bdaa81f 100755
--- a/README.md
+++ b/README.md
@@ -663,6 +663,10 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
 -   [networkD3](http://christophergandrud.github.io/networkD3/) - D3 JavaScript network graphs from R.
 -   [ndtv](https://CRAN.R-project.org/package=ndtv) - Tools to construct animated visualizations of dynamic network data in various formats.
 -   [netdiffuseR](https://CRAN.R-project.org/package=netdiffuseR) - Tools to analyze the network diffusion of innovations.
+-   [netranker](https://cran.r-project.org/package=netrankr) - Up-to-date collection of network centrality indices, with lots of documentation.
+    -   [Network Centrality in R: An Introduction](http://blog.schochastics.net/post/network-centrality-in-r-introduction/) - Includes a review of relevant R packages.
+    -   [Network Centrality in R: Neighborhood Inclusion](http://blog.schochastics.net/post/network-centrality-in-r-neighborhood-inclusion/).
+    -   [Network Centrality in R: New Ways of Measuring Centrality](http://blog.schochastics.net/post/network-centrality-in-r-new-ways-of-measuring-centrality/) (2018).
 -   [NetSim](http://www.christoph-stadtfeld.com/netsim/) - Simulate and combine micro-models to research their impact on the macro-features of social networks.
 -   [network](https://CRAN.R-project.org/package=network) - Basic tools to manipulate relational data in R.
 -   [networkdiffusion](https://github.com/chengjun/networkdiffusion) - Simulate and visualize basic epidemic diffusion in networks.