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Criminal networks analysis in missing data scenarios through graph distances

Research article (PLoS ONE, 2021) · cited 33× · AI/ML
academia openalex:W3134181831
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Criminal networks analysis in missing data scenarios through graph distances

Summary

Criminal networks analysis in missing data scenarios through graph distances is a scholarly article[1].

Key Facts

  • Criminal networks analysis in missing data scenarios through graph distances's instance of is recorded as scholarly article[2].

Related Entities

Pasquale De Meo

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Criminal networks analysis in missing data scenarios through graph distances. Retrieved May 24, 2026, from https://4ort.xyz/entity/criminal-networks-analysis-in-missing-data-scenarios-through-graph-distances
MLA “Criminal networks analysis in missing data scenarios through graph distances.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/criminal-networks-analysis-in-missing-data-scenarios-through-graph-distances.
BibTeX @misc{4ortxyz_criminal-networks-analysis-in-missing-data-scenarios-through-graph-distances_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Criminal networks analysis in missing data scenarios through graph distances}}, year = {2026}, url = {https://4ort.xyz/entity/criminal-networks-analysis-in-missing-data-scenarios-through-graph-distances}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Criminal networks analysis in missing data scenarios through graph distances — https://4ort.xyz/entity/criminal-networks-analysis-in-missing-data-scenarios-through-graph-distances (retrieved 2026-05-24)

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