A summary of the work done for the June 2021 FOSSEE Research Internship in R.
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Updated
Aug 25, 2022 - R
A summary of the work done for the June 2021 FOSSEE Research Internship in R.
A new community detection algorithm based on pagerank.
Fast consensus clustering in networks
CoEuS: Community Detection via Seed-set Expansion on Graph Streams
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
This project includes Twitter Social Media Analytics, Facebook Graph Analysis and News API Data Analysis. See the final report for full understanding.
DAOC (Deterministic and Agglomerative Overlapping Clustering algorithm): Stable Clustering of Large Networks
[TKDD'23] Demo code of the paper entitled "Towards a Better Trade-Off between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs", which has been accepted by ACM TKDD
ComSim : community detection algorithm using cycle and node's similarity
A Generalized Louvain Method for Community Detection
This repository provides classic clustering algorithms and various internal cluster quality validation metrics and also visualization capabilities to analyse the clustering results
Dissimilarity Measure for community detection
FilWordNet web portal — a language resource for Filipino and Philippine English built from text analysis network science and natural language processing
Reinforcement learning community detection method using known communities
A Python implementation of improved Label Propagation Algorithm.
Similarity Project
Label propagation algorithm based on local cycles for community detection
APAL: Adjacency Propagation Algorithm for overlapping community detection
This Repository contains series of python programs for simulations of Schelling Model i.e. each node in a grid must satisfy threshold neighbourhood property.
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