@inproceedings{9c680f83a7624a1fad5fa03de6e97757,
title = "ISGP: Influence Maximization on Dynamic Social Networks Using Influence SubGraph Propagation",
abstract = "Most previous research on influence maximization has focused on static social networks, despite the dynamic nature of networks in the real world. The computational cost imposed by recalculating results in response to dynamic changes precludes the use of conventional updating algorithms when dealing with large-scale networks. In this study, we developed a novel approach to estimating the influence of nodes through the creation of Influence SubGraphs. We also developed methods by which to update Influence SubGraphs to overcome the problem of influence maximization in dynamic social networks. Experiment results demonstrated the efficacy of the proposed scheme, in achieving influence propagation performance comparable to that of state-of-the-art methods with far lower memory requirements and far shorter execution times.",
author = "Wu, {Wan Jhen} and Li, {Shiou Chi} and Huang, {Jen Wei}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023 ; Conference date: 09-10-2023 Through 12-10-2023",
year = "2023",
doi = "10.1109/DSAA60987.2023.10302634",
language = "English",
series = "2023 IEEE 10th International Conference on Data Science and Advanced Analytics, DSAA 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Yannis Manolopoulos and Zhi-Hua Zhou",
booktitle = "2023 IEEE 10th International Conference on Data Science and Advanced Analytics, DSAA 2023 - Proceedings",
address = "United States",
}