Kategorie: ‘Theses’
Algorithmic Approaches to Overlapping Community Detection – Label Propagation Algorithm with Neighbor Node Influence
May 18th, 2022 | by Ralf Klamma
A Practical Look at Membership Inference Attacks and Differential Privacy Protection on Data with Re-occurring Information
May 12th, 2022 | by Lasse Nitz
Decentralized Identity and Access Management for Distributed Machine Learning Systems
May 12th, 2022 | by Yongli Mou
Bridging the gap between design and deployment of statistical analyses in Distributed Analytics
May 11th, 2022 | by Sascha Welten
Development of a Data Ecosystem Model for the Context of Procurement
April 20th, 2022 | by Soo-Yon Kim
Algorithmic Approaches to Overlapping Community Detection – Local Optimization Algorithm based on Cliques
April 13th, 2022 | by Ralf Klamma
Algorithmic Approaches to Overlapping Community Detection – Clustering Graphs into Subgraphs
April 11th, 2022 | by Ralf Klamma
Overlapping Community Detection for Botnet analysis on microblogging plattforms
April 8th, 2022 | by Michal Slupczynski
The study of (social) structures in real-world networks is known as (social) network analysis. Nodes and linkages make up networks. Communities are subnetworks in which nodes have more connections to nodes within the subnetwork than to nodes outside the subnetwork. The difficulty of detecting nodes in networks that belong to more than one sub-network is known as overlapping community detection. The goal of this work is to extend our existing bot detection framework to include community detection functionality.