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Enhancing Twitter spam accounts discovery using cross-account pattern mining

https://doi.org/10.1109/inm.2015.7140327

0 signed · 21 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/sp.2013.33openalex-snapshot

SoK: The Evolution of Sybil Defense via Social Networks

inferredcites →https://doi.org/10.1142/s0218843014410019openalex-snapshot

A Perspective of Evolution After Five Years: A Large-Scale Study of Web Spam Evolution

inferredcites →https://doi.org/10.1145/1151659.1159945openalex-snapshot

SybilGuard

inferredcites →https://doi.org/10.1145/1920261.1920263openalex-snapshot

Detecting spammers on social networks

inferredcites →https://doi.org/10.1145/2068816.2068840openalex-snapshot

Suspended accounts in retrospect

inferredcites →https://doi.org/10.48550/arxiv.1205.3856openalex-snapshot

Social Turing Tests: Crowdsourcing Sybil Detection

inferredcites →https://doi.org/10.5220/0002996201420151openalex-snapshot

DON’T FOLLOW ME - Spam Detection in Twitter

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4665612openalex-extracted

Analyzing the Efficacy of Bot Detection Methods on Twitter/X

inferred← citeshttps://doi.org/10.1002/widm.1260openalex-snapshot

Knowledge‐based approaches for identity management in online social networks

inferred← citeshttps://doi.org/10.1007/978-3-032-18334-7_30openalex-snapshot

Fake Accounts Detection in Social Media Using Machine Learning Techniques

inferred← citeshttps://doi.org/10.1007/978-981-15-7511-2_72openalex-snapshot

Activity-Based Attribute Selection for Effective Advertising Using Pattern Mining

inferred← citeshttps://doi.org/10.1016/j.eswa.2019.05.052openalex-snapshot

Unsupervised collective-based framework for dynamic retraining of supervised real-time spam tweets detection model

inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102250openalex-snapshot

Detection of Bots in Social Media: A Systematic Review

inferred← citeshttps://doi.org/10.1016/j.procs.2017.08.075openalex-snapshot

A Topic-Based Hidden Markov Model for Real-Time Spam Tweets Filtering

inferred← citeshttps://doi.org/10.1080/03081079.2021.1976773openalex-snapshot

Malicious accounts detection from online social networks: a systematic review of literature

inferred← citeshttps://doi.org/10.1109/icccn52240.2021.9522339openalex-snapshot

It’s a Matter of Style: Detecting Social Bots through Writing Style Consistency

inferred← citeshttps://doi.org/10.1109/tdsc.2016.2616879openalex-snapshot

Segregating Spammers and Unsolicited Bloggers from Genuine Experts on Twitter

inferred← citeshttps://doi.org/10.3166/isi.22.3.65-88openalex-snapshot

Behavioural account-based features for filtering out social spammers in large-scale twitter data collections

inferred← citeshttps://doi.org/10.3390/app15073898openalex-snapshot

From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X

inferred← citeshttps://doi.org/10.48550/arxiv.1911.07762openalex-snapshot

Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks

inferred← citeshttps://doi.org/10.70675/1df31d12zac24z4c4ez844czf51176438798openalex-snapshot

Qualité de l'information dans les médias sociaux en ligne et collection de big data : un exemple de détection de spam sur twitter

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