From f296a4ac57e02593b30bffb5bc3efe5238df939e Mon Sep 17 00:00:00 2001 From: jthluke Date: Fri, 13 Dec 2019 00:57:03 -0800 Subject: [PATCH] Network Effects; Structural Role Extraction --- network-methods/network-effects-and-cascading-behavior.md | 2 +- network-methods/structural-roles.md | 6 ++++++ 2 files changed, 7 insertions(+), 1 deletion(-) create mode 100644 network-methods/structural-roles.md diff --git a/network-methods/network-effects-and-cascading-behavior.md b/network-methods/network-effects-and-cascading-behavior.md index be87eef..80d55c6 100644 --- a/network-methods/network-effects-and-cascading-behavior.md +++ b/network-methods/network-effects-and-cascading-behavior.md @@ -4,7 +4,7 @@ title: Network Effects And Cascading Behaviour header-includes: - \usepackage{amsmath} --- - +The phenomenon of spreading through networks and cascading behaviors is prevalent in a wide range of real networks. Examples include contagion of diseases, cascading failure of technologies, diffusion of fake news, and viral marketing. Formally, an “infection” event can spread contagion along main players (active/infected nodes) which constitute a propagation tree, known as a cascade. In this section, we study how a infection propagates through a network. We will look into two classed of model, namely decision based models and probabilistic models. But first lets look at some terminology used throughout the post. **Terminology** diff --git a/network-methods/structural-roles.md b/network-methods/structural-roles.md new file mode 100644 index 0000000..e82d5d8 --- /dev/null +++ b/network-methods/structural-roles.md @@ -0,0 +1,6 @@ +--- +layout: post +title: PageRank +--- + +In this section, we examine structural role discovery. \ No newline at end of file