## Recently Published

##### Mean distance of network

Calculations and plots of distance distribution of networks. Comparison of distances of random, small world, scale free networks.

##### Clusters of survey data

Clusters of responders and question give deeper insight to survey data.

##### SNN projection of bipartite graphs

Shared nearest neighbor projection of bipartite networks.

##### Visualize rows and colums orderings of matrix with ggplot2

Examples on orderings. How geom_raster() works.

##### Fitting power-law with {powRlaw}

A data analysis pipe to fit power-law distribution to a dataset. In this report the dataset is a degree distribution of a graph that generated with {igraph}.

##### Load bipartite graphs with igraph

Load graph from two and three column data frame and from adjacency matrix. There are some play with weighted and unweighted versions.

##### Generate (random) graphs with igraph

Generate random (Erdős-Rényi), small world (Wattz-Strogatz), scale-free (Barabási-Albert) random graphs and some calculations about them.

##### Matrix visualizations with ggplot2

Simple and clusterised matrix visualizations (e.g. coloring tick labels)

##### Weighted Jaccard similarity

Function to calculate weighted Jaccard similarity of rows of matrix

##### Multidinemsional scaling (MDS)

Introduction to some MDS function

##### MDS in practice

Tryout some MDS function on Groceries dataset

##### Quadratic equation

Prezentation of solution to quadratic equation shiny app