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Sep 20, 2023 · Artificial Intelligence

Unlocking Hidden Communities: A Deep Dive into Graph Community Detection Algorithms

This article explains the fundamentals of community detection in graph computing, contrasting it with clustering, describing key concepts such as modularity, and reviewing classic algorithms like Louvain, node2vec‑based methods, and Infomap, while highlighting their applications across domains.

Infomapcommunity-detectiongraph algorithms

0 likes · 11 min read

Unlocking Hidden Communities: A Deep Dive into Graph Community Detection Algorithms

JD Tech

Sep 12, 2023 · Fundamentals

Community Detection Algorithms: Concepts, Types, and Classic Methods

This article introduces community detection as a fundamental graph algorithm, explains its basic concepts and types, compares it with clustering, discusses evaluation metrics like modularity, and reviews classic methods such as Louvain, node2vec‑based approaches, and the information‑theoretic Infomap algorithm.

InfomapUnsupervised Learningcommunity-detection

0 likes · 13 min read

Community Detection Algorithms: Concepts, Types, and Classic Methods

Baidu Geek Talk

Aug 16, 2022 · Artificial Intelligence

Louvain Algorithm for Community Detection in Anti‑Fraud Systems

The Louvain algorithm, a fast modularity‑maximizing community‑detection method, iteratively merges nodes into hierarchical super‑nodes, enabling anti‑fraud systems to uncover hidden collusive groups in weighted transaction graphs, thereby improving detection of fake orders, coupon abuse, and other illicit behaviors despite its iterative nature and streaming limitations.

anti-fraudcommunity-detectiongraph algorithms

0 likes · 10 min read

Louvain Algorithm for Community Detection in Anti‑Fraud Systems

MaGe Linux Operations

Mar 6, 2021 · Artificial Intelligence

Discover Communities: A Python Library for Graph Clustering Visualization

This article introduces the Python library communities, which detects and visualizes community structures in graph‑clustering problems, supports multiple algorithms such as Louvain and Girvan‑Newman, provides code examples for importing algorithms, building adjacency matrices, visualizing results with color coding, and creating animation GIFs of the clustering process.

Algorithmscommunity-detectiongraph-clustering

0 likes · 7 min read

Discover Communities: A Python Library for Graph Clustering Visualization

DataFunTalk

Jan 31, 2021 · Artificial Intelligence

Applying Graph Algorithms and Graph Convolutional Networks for Advertising Anti‑Fraud at 58.com

This article explains how various graph algorithms—including connected components, label propagation, Louvain community detection, and Graph Convolutional Networks—are built on large‑scale user‑behavior graphs using Spark GraphX to detect and mitigate advertising fraud, detailing methodology, implementation, and experimental results.

GCNSpark GraphXanti-fraud

0 likes · 13 min read

Applying Graph Algorithms and Graph Convolutional Networks for Advertising Anti‑Fraud at 58.com

360 Tech Engineering

May 30, 2019 · Artificial Intelligence

Louvain Algorithm: Theory, Design, and Implementation

The article explains the Louvain community‑detection algorithm, detailing its modularity‑maximizing objective, two‑step iterative process, efficient graph data structures, practical implementation considerations, and performance results on large‑scale graphs, providing a comprehensive guide for practitioners.

Graph AlgorithmScalabilityc-implementation

0 likes · 7 min read

Louvain Algorithm: Theory, Design, and Implementation

DataFunTalk

Apr 28, 2019 · Artificial Intelligence

Graph Algorithms for Fraud Detection and Community Detection: Modularity, Louvain, Infomap, node2vec and comE

This article explains how graph‑based algorithms such as centrality measures, modularity optimization, Louvain, Infomap, node2vec and the comE framework can be applied to financial fraud detection and community discovery, detailing their principles, formulas, implementation steps and evaluation metrics.

Infomapcommunity-detectionfraud detection

0 likes · 14 min read

Graph Algorithms for Fraud Detection and Community Detection: Modularity, Louvain, Infomap, node2vec and comE