Plotting and storing a 3D network in R
A simple toy example of a three layered network: Note 1: In order to view the 3D plots, mac users will need Xquartz installed (https://www.xquartz.org/). A more complex […]
Quantifying dispersion under varying instrument precision
Experimental errors are common at the moment of generating new data. Often this type of errors are simply due to the inability of the instrument to make precise measurements. In addition, different […]
Network hubs
Some times real networks contain few nodes that are connected to a large portion of the nodes in the network. These nodes, often called ‘hubs’ (or global hubs), can change […]
How does a signal travel through a protein?
Mentioned here: Proteins, network dynamics, random walks. This blogpost makes part of Stat Chats (Stat Chats). Stat Chats only aims to give ideas that could be used to solve problems in […]
Ways to compare networks
Nowadays network comparison is becoming increasingly relevant. Why is this? Mainly because it is a desirable way to compare complex systems that can often be represented as networks. Network comparison aims […]
Group activity and social bonding
Mentioned here: Biased results, recorded variable types and linear models (the effect of a set of variables onto a response variable). This blogpost makes part of Stat Chats (Stat Chats). ———————————————————————- Here […]
The origins of exponential random graph models
The article An Exponential Family of Probability Distributions for Directed Graphs, published by Holland and Leinhardt (1981), set the foundation for the now known exponential random graph models (ERGM) or p* models, […]
