Social Network Analysis and STEM Education is designed to prepare researchers to apply network analysis in order to better understand and improve teaching and learning.
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Updated
Jul 14, 2025 - HTML
Social Network Analysis and STEM Education is designed to prepare researchers to apply network analysis in order to better understand and improve teaching and learning.
LinkOrgs: An R package for linking linking records on organizations using half a billion open-collaborated records from LinkedIn
NetInt is a Java-based node-link visualization prototype designed to visualize directed graphs.
Python projects related to the course- Algorithms for Data Guided Business Intelligence
Interactive visualizations for protein complexes from hu.MAP 1.0 and hu.MAP 2.0 by Super.Complex and CORUM
Python implementations of Community Detection Algorithms, including Cliques, k-cores, SNN, IHCS, LCMA, Girvan-Newman.
Stratification of multi-label datasets
Dynamic Community detection for portfolio optimization - Dataism Laboratory for Quant Finance
A comprehensive research platform for Graph Neural Networks (GNNs) featuring 10+ applications including node and graph classification, link prediction, community detection, anomaly detection, and dynamic graph modelling, all with an interactive web interface.
🌐 A portfolio of network analysis projects in R/igraph for the Network Analysis course at ISCTE. Includes social network characterization and community detection (Girvan-Newman, Louvain, Label Propagation, etc.).
Python pipeline to build empirical kinase networks and identify kinase signalling communities from quantitative phosphoproteomics data.
Generate wikipedia communities from the underlying graph for a university project
Interactive visualizations for protein complexes from hu.MAP 1.0 and hu.MAP 2.0 with RL
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