Identifying influential nodes for influence maximization problem in social networks using an improved discrete particle swarm optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-023-01098-5.pdf
Reference50 articles.
1. Biswas TK, Abbasi A, Chakrabortty RK (2022) A two-stage vikor assisted multi-operator differential evolution approach for influence maximization in social networks. Exp Syst Appl 192(116):342. https://doi.org/10.1016/j.eswa.2021.116342
2. Bond RM, Fariss CJ, Jones JJ et al (2012) A 61-million-person experiment in social influence and political mobilization. Nature 489(7415):295–298. https://doi.org/10.1038/nature11421
3. Bovet A, Makse HA (2019) Influence of fake news in twitter during the 2016 us presidential election. Nat Commun 10(1):1–14. https://doi.org/10.1038/s41467-018-07761-2
4. 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, pp 199–208. https://doi.org/10.1145/1557019.1557047
5. Contractor NS, DeChurch LA (2014) Integrating social networks and human social motives to achieve social influence at scale. Proc Natl Acad Sci 111:13650–13657. https://doi.org/10.1073/pnas.1401211111
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