Network Analysis and Graph Theory: Exploring Marine Connectivity - Course Datasets Repository

Overview

Welcome to the dataset repository for the course 'Network Analysis and Graph Theory: Exploring Marine Connectivity', an online course offered as part of the SEA-UNICORN - COST Action CA19107. This repository contains all the datasets used in the practical exercises throughout the course.

The course is structured into three comprehensive parts, each with hands-on R programming sessions to ensure practical application alongside theoretical understanding.

Course Structure:

1. Introduction to Network Analysis and Graph Theory

   • Fundamentals of topology and graph theory
   • Basic theory of graphs, their types, characteristics, and representations
   • Practical R exercises focused on building and analyzing graphs

2. Analyzing Graphs

   • Centrality measures and community detection
   • Hands-on R exercises to deepen understanding and enhance R programming skills

3. Community Detection and Marine Connectivity Case Study

   • Network modularity and community detection
   • Real-world and theoretical applications in marine connectivity studies
   • Challenging R exercises addressing complex problems in marine ecology

Our aim is to not only teach these concepts but also to equip you with the skills to apply them effectively in marine science and beyond.

Repository Contents

This repository is organized to provide easy access to datasets for each part of the course:

• Part 1: Introduction to Network Analysis and Graph Theory

  • whale_locations.rds
  • migration_routes.rds
  • wt_migration_routes.rds

• Part 2: Analyzing Graphs

  • food_web.rds
  • mat.to.plot.real.rds
  • trophic.links.csv

• Part 3: Community Detection and Marine Connectivity Case Study

  • mat.to.plot.real.rds
  • communities.csv

Citation

For specific datasets, please cite the corresponding research articles:

• mat.to.plot.real.rds: MPA network design based on graph theory and emergent properties of larval dispersal
• trophic.links.csv: Temperate rocky subtidal reef community reveals human impacts across the entire food web

To cite the other datasets in this repository, follow a standard citation format for software or online resources. Here is an example in APA format:

APA: Ospina-Alvarez, A. (2024). Network Analysis and Graph Theory: Exploring Marine Connectivity [Course repository]. GitHub. https://github.com/oceandiscovery/network_analysis_course

MLA: Ospina-Alvarez, Andrés. Network Analysis and Graph Theory: Exploring Marine Connectivity. GitHub, 2024, https://github.com/oceandiscovery/network_analysis_course.

Chicago: Ospina-Alvarez, Andrés. 2024. Network Analysis and Graph Theory: Exploring Marine Connectivity. GitHub. https://github.com/oceandiscovery/network_analysis_course.

Feel free to adjust the date and format according to the specific citation style you are using.

Access to the Course

To access the course contents, please send a request to the course creator, Andrés Ospina-Alvarez, at andres.ospina@csic.es.

Usage

All datasets in this repository are provided to enhance your learning experience and are intended for educational purposes only. Please adhere to any data usage guidelines specified in the course materials.

Contact

For any queries or further information, please contact Andrés Ospina-Alvarez at andres.ospina@csic.es.

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Thank you for participating in 'Network Analysis and Graph Theory: Exploring Marine Connectivity'. We hope you find this repository a valuable resource for your learning journey.