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De-anonymizing Social Networks User via Profile Similarity

Research article (2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), 2018) · cited 14× · AI/ML
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De-anonymizing Social Networks User via Profile Similarity

Summary

De-anonymizing Social Networks User via Profile Similarity is a scholarly article[1].

Key Facts

  • De-anonymizing Social Networks User via Profile Similarity's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). De-anonymizing Social Networks User via Profile Similarity. Retrieved May 24, 2026, from https://4ort.xyz/entity/de-anonymizing-social-networks-user-via-profile-similarity
MLA “De-anonymizing Social Networks User via Profile Similarity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/de-anonymizing-social-networks-user-via-profile-similarity.
BibTeX @misc{4ortxyz_de-anonymizing-social-networks-user-via-profile-similarity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{De-anonymizing Social Networks User via Profile Similarity}}, year = {2026}, url = {https://4ort.xyz/entity/de-anonymizing-social-networks-user-via-profile-similarity}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): De-anonymizing Social Networks User via Profile Similarity — https://4ort.xyz/entity/de-anonymizing-social-networks-user-via-profile-similarity (retrieved 2026-05-24)

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