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Predicting the evolution of communities in social networks using structural and temporal features

Research article (2017 12th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), 2017) · cited 24× · AI/ML
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Summary

Predicting the evolution of communities in social networks using structural and temporal features is a scholarly article[1].

Key Facts

  • Predicting the evolution of communities in social networks using structural and temporal features's instance of is recorded as scholarly article[2].

References

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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). Predicting the evolution of communities in social networks using structural and temporal features. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-the-evolution-of-communities-in-social-networks-using-structural-and-temporal-features
MLA “Predicting the evolution of communities in social networks using structural and temporal features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-the-evolution-of-communities-in-social-networks-using-structural-and-temporal-features.
BibTeX @misc{4ortxyz_predicting-the-evolution-of-communities-in-social-networks-using-structural-and-temporal-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the evolution of communities in social networks using structural and temporal features}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-evolution-of-communities-in-social-networks-using-structural-and-temporal-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting the evolution of communities in social networks using structural and temporal features — https://4ort.xyz/entity/predicting-the-evolution-of-communities-in-social-networks-using-structural-and-temporal-features (retrieved 2026-05-24)

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