Home ›
Entities
› academia
› A novel global clustering coefficient-dependent degree centrality (GCCDC) metric for large network analysis using real-world datasets
A novel global clustering coefficient-dependent degree centrality (GCCDC) metric for large network analysis using real-world datasets
Research article (Journal of Computational Science, 2023) · cited 53× · AI/ML
A novel global clustering coefficient-dependent degree centrality (GCCDC) metric for large network analysis using real-world datasets
Summary
A novel global clustering coefficient-dependent degree centrality (GCCDC) metric for large network analysis using real-world datasets is a scholarly article[1].
Key Facts
A novel global clustering coefficient-dependent degree centrality (GCCDC) metric for large network analysis using real-world datasets's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A novel global clustering coefficient-dependent degree centrality (GCCDC) metric for large network analysis using real-world datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-global-clustering-coefficient-dependent-degree-centrality-gccdc-metric-for-large-network-analysis-using-real-wor
MLA“A novel global clustering coefficient-dependent degree centrality (GCCDC) metric for large network analysis using real-world datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-global-clustering-coefficient-dependent-degree-centrality-gccdc-metric-for-large-network-analysis-using-real-wor.
BibTeX@misc{4ortxyz_a-novel-global-clustering-coefficient-dependent-degree-centrality-gccdc-metric-for-large-network-analysis-using-real-wor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel global clustering coefficient-dependent degree centrality (GCCDC) metric for large network analysis using real-world datasets}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-global-clustering-coefficient-dependent-degree-centrality-gccdc-metric-for-large-network-analysis-using-real-wor}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel global clustering coefficient-dependent degree centrality (GCCDC) metric for large network analysis using real-world datasets — https://4ort.xyz/entity/a-novel-global-clustering-coefficient-dependent-degree-centrality-gccdc-metric-for-large-network-analysis-using-real-wor (retrieved 2026-05-24)
