The entire project was carried out in collaboration with my colleague Gianmarco Fiorenza.
This project aims to study the properties of a graph of biotic interactions. The dataset was obtained using RGlobi and contains interactions between species in the European territory. The analysis performed on the graph includes the following steps:
- Exploratory Data Analysis
- Degree Distribution Analysis
- Community Detection and Analysis
- Graph Centrality Metrics Analysis
- Verification of Hierarchical and/or Fractal Structure of the Graph
- Multilayer Graph Analysis (divided by type of interaction)
Initial exploration of the dataset to understand its structure, contents, and general properties.
Study of the degree distribution of the graph to understand how connections are spread among the nodes.
Division of the graph into communities and examination of the properties and interactions within and between these communities.
Analysis of various centrality metrics to identify the most important nodes within the graph.
Investigation to determine if the graph exhibits a hierarchical or fractal structure.
Analysis of the graph in a multilayer style, where layers represent different types of interactions between species.