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social network analysis

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Model Perspective
Model Perspective
May 7, 2024 · Fundamentals

Beyond 150: Modeling Social Circles with Dunbar’s Number

This article explores Robin Dunbar’s social‑brain hypothesis, explains the layered structure of human relationships, proposes a vector‑based social model, and shows how similarity and difference metrics can inform personal and organizational network analysis.

Dunbar numberTeam Buildinghuman relationships
0 likes · 8 min read
Beyond 150: Modeling Social Circles with Dunbar’s Number
DataFunSummit
DataFunSummit
Aug 23, 2022 · Artificial Intelligence

Graph Deep Learning for Content Risk Control and APT Detection

This article presents a comprehensive overview of Tencent AI Lab's graph‑based approaches for detecting misinformation and advanced persistent threats, detailing the challenges of modeling news content and social context, the design of the Post‑User Interaction Network (PSIN), experimental results on large multi‑topic datasets, and a novel graph‑pretraining pipeline for APT detection.

APT detectionGraph Neural Networksdeep learning
0 likes · 12 min read
Graph Deep Learning for Content Risk Control and APT Detection
Qunar Tech Salon
Qunar Tech Salon
Aug 29, 2019 · Information Security

Using Graph Databases for Fraud Detection in Ride‑Hailing Platforms

The article explains how building a Neo4j‑based social graph of users, drivers, devices and other attributes enables detection of individual and group subsidy‑abuse fraud in ride‑hailing services through multi‑hop relationship analysis and targeted rule‑based alerts.

Neo4jRide-hailinganti-fraud
0 likes · 6 min read
Using Graph Databases for Fraud Detection in Ride‑Hailing Platforms
Art of Distributed System Architecture Design
Art of Distributed System Architecture Design
Jun 16, 2015 · Big Data

Social Network Analysis on Weibo: Label Propagation, User Similarity, Community Detection, Influence Ranking, and Spam User Identification

This article introduces a series of algorithms for analyzing the Weibo social network, including label propagation, LDA‑based user similarity, time‑aware and interaction‑aware similarity measures, community detection, influence ranking via PageRank variants, and methods for identifying spam users, illustrating how these techniques can be applied to large‑scale social media data.

Big Datainfluence rankinglabel propagation
0 likes · 19 min read
Social Network Analysis on Weibo: Label Propagation, User Similarity, Community Detection, Influence Ranking, and Spam User Identification
Architect
Architect
May 22, 2015 · Big Data

Weibo Social Network Analysis: Label Propagation, Similarity Measures, Community Detection, Influence Ranking and Spam User Identification

The article presents a comprehensive overview of algorithms for analyzing Weibo’s social network, covering label propagation, user similarity via LDA, temporal and interaction factors, community detection, influence ranking using PageRank variants, and methods for identifying spam accounts.

LDAcommunity-detectioninfluence ranking
0 likes · 16 min read
Weibo Social Network Analysis: Label Propagation, Similarity Measures, Community Detection, Influence Ranking and Spam User Identification