Influence maximization in social graphs based on community structure and node coverage gain

Research article (Future Generation Computer Systems, 2021) · cited 43× · AI/ML
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Influence maximization in social graphs based on community structure and node coverage gain

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Influence maximization in social graphs based on community structure and node coverage gain is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Influence maximization in social graphs based on community structure and node coverage gain. Retrieved May 24, 2026, from https://4ort.xyz/entity/influence-maximization-in-social-graphs-based-on-community-structure-and-node-coverage-gain
MLA “Influence maximization in social graphs based on community structure and node coverage gain.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/influence-maximization-in-social-graphs-based-on-community-structure-and-node-coverage-gain.
BibTeX @misc{4ortxyz_influence-maximization-in-social-graphs-based-on-community-structure-and-node-coverage-gain_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Influence maximization in social graphs based on community structure and node coverage gain}}, year = {2026}, url = {https://4ort.xyz/entity/influence-maximization-in-social-graphs-based-on-community-structure-and-node-coverage-gain}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Influence maximization in social graphs based on community structure and node coverage gain — https://4ort.xyz/entity/influence-maximization-in-social-graphs-based-on-community-structure-and-node-coverage-gain (retrieved 2026-05-24)

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