Topic relevance and temporal activity-aware influence maximization in social network
Author:
Funder
Basic Research Program of Jiangsu Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03430-6.pdf
Reference48 articles.
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2. Chen W, Wang Y, Yang S (2009) Efficient influence maximization in social networks. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining, New York, NY, USA, pp 199–208
3. Vardasbi A, Faili H, Asadpour M (2017) SWIM: stepped weighted shell decomposition influence maximization for large-scale networks. ACM Trans Inf Syst 36(1):6.1–6.33
4. Hong W, Yue K, Fu X et al (2016) Parallel seed selection for influence maximization based on k-shell decomposition. Springer, Cham. https://doi.org/10.1007/978-3-319-59288-6_3
5. Dey P, Roy S (2019) Influence maximization in online social network using different centrality measures as seed node of information propagation. Sadhana 44(9):205
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1. Influence lifetime: modeling the temporal variation of social influence through domains;Social Network Analysis and Mining;2024-08-28
2. Fuzzy Influence Maximization in Social Networks;ACM Transactions on the Web;2024-04-15
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