Advanced & Applied Topics · Network Analysis & Graph Theory

Network and graph analysis: Fundamentals and algebraic representation

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction // Advanced Multivariate Analysis · Complex Data Structures

Overview

Topics covered

  • Introduction
  • Network Analysis and Graph Theory
  • Relational Epistemology and Network Topology
  • Algebraic Structures and Taxonomies of Graphs
  • Advanced Taxonomies of Relational Structures
  • 1. Multigraphs and Pseudographs

Related concepts

Main connections

  • Linear algebra & matrices
  • Unsupervised learning & clustering
  • Mean & expected value
  • Epidemiological measures & risk ratios
  • Binomial distribution
  • Poisson distribution

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

Sea B∈ℝn1×n2The matrix of bipartite adjacency (incidence of classes).
View LaTeX source\text{Sea } B \in \mathbb{R}^{n_1 \times n_2} \text{The matrix of bipartite adjacency (incidence of classes).}