Detecting cooperative and organized spammer groups in micro-blogging community

DOI10.1007/s10618-016-0479-5zbMath1411.91454OpenAlexW2551957285MaRDI QIDQ1741311

Xianqiang Yang

Publication date: 3 May 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-016-0479-5

zbMATH Keywords

graph similarityretweeting networkspammertopic hijacking

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• SpEagle

Cites Work

• Detecting anomaly collections using extreme feature ranks
• A graph-theoretic approach to enterprise network dynamics.
• Emergence of Scaling in Random Networks
• Authoritative sources in a hyperlinked environment
• Introduction to Information Retrieval
• Comparing Top k Lists
• Least squares quantization in PCM

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