DBIS

WebOCD provides functionality to upload graphs and covers in various formats and to run overlapping community detection measures and centrality measures on the uploaded graph, as well as certain metrics on the generated or uploaded covers. Graphs and covers can also be displayed visually via SVG or interactive force-graph visualization.

WebOCD consists of an OCD Service and a Web Client which can both be found on GitHub:

REST-OCD-Services: https://github.com/rwth-acis/REST-OCD-Services

OCD-Web-Client: https://github.com/rwth-acis/OCD-Web-Client

WebOCD has also been used for Overlapping Community Detection in the online book “Algorithmen für die Entdeckung von Communities in sozialen Netzwerken”: http://ocd.git.dbis.rwth-aachen.de/Online-Buch/

• Algorithmic Approaches to Overlapping Community Detection – PSO_LPA and Graph Visualization (
  Finished
  )
• Moving from Ad-hoc to a Structured Testing Approach in a Graph Analysis and Community Detection Framework (
  Finished
  )
• Algorithmic Approaches to Overlapping Community Detection – Multiplex Networks (
  Finished
  )
• Algorithmic Approaches to Overlapping Community Detection – Protein-Protein Interaction Networks (
  Finished
  )
• European Parliaments On Twitter during the Ukraine War: Analyzing Parliamential Influentials and Communities over Time (
  Finished
  )
• Algorithmic Approaches to Overlapping Community Detection – Local Optimization Algorithm based on Cliques (
  Finished
  )
• Algorithmic Approaches to Overlapping Community Detection – Clustering Graphs into Subgraphs (
  Finished
  )
• Algorithmic Approaches to Overlapping Community Detection – Community Overlap PRopagation Algorithm (COPRA) (
  Finished
  )