Unlocking Social Network Power: How Centrality Shapes Your Influence

This article explains the concept of centrality in social networks, describes degree, betweenness, and eigenvector centralities, presents a Python simulation showing how high‑centrality nodes receive information faster, and offers practical strategies to improve one’s position and influence within a network.

Python simulationSocial networkcentrality

0 likes · 9 min read

Unlocking Social Network Power: How Centrality Shapes Your Influence

Model Perspective

May 18, 2024 · Fundamentals

How Graph Theory Reveals Hidden Criminal Networks: Centrality Measures Explained

By modeling crime relationships as graphs and applying centrality metrics such as degree, betweenness, and closeness, investigators can mathematically identify key suspects, trace financial flows, and prioritize targets, demonstrating how graph theory transforms complex criminal networks into actionable intelligence.

centralitycrime investigationgraph theory

0 likes · 10 min read

How Graph Theory Reveals Hidden Criminal Networks: Centrality Measures Explained

58 Tech

Oct 16, 2020 · Big Data

Social Network Analysis and Graph Database Solution for 58 Community Using JanusGraph and Spark GraphX

This article describes how the 58 community builds a large‑scale social network graph, evaluates graph databases such as Neo4j, JanusGraph and HugeGraph, implements centrality metrics with Spark GraphX, and designs a JanusGraph‑based pipeline for detecting valuable and fraudulent users.

Graph DatabaseJanusGraphSocial Network Analysis

0 likes · 16 min read