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Continuous Influence Maximization
Proceedings of the 2016 International Conference on Management of Data, 2016Imagine we are introducing a new product through a social network, where we know for each user in the network the purchase probability curve with respect to discount. Then, what discount should we offer to those social network users so that the adoption of the product is maximized in expectation under a predefined budget?
Yu Yang +3 more
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Collective Influence Maximization
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019The omnipresence of cascading process in complex phenomena makes the identification of a small set of influential units, which is widely believed to trigger the outbreak, always an crucial issue in network science. Formulated as Influence maximization (IM) in 2003, this NP-hard problem has received a multitude of heuristic solutions with diverse angles.
Xudong Wu +5 more
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Social influence maximization under empirical influence models
Nature Human Behaviour, 2018Social influence maximization models aim to identify the smallest number of influential individuals (seed nodes) that can maximize the diffusion of information or behaviours through a social network. However, while empirical experimental evidence has shown that network assortativity and the joint distribution of influence and susceptibility are ...
Sinan Aral, Paramveer S. Dhillon
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2019
Today, online social networks (OSNs) play an important role in diffusing information among people. Extensive research on social network analysis shows that online users trust to sharing information of acquaintances and they also may share that information.
Alireza Rezvanian +4 more
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Today, online social networks (OSNs) play an important role in diffusing information among people. Extensive research on social network analysis shows that online users trust to sharing information of acquaintances and they also may share that information.
Alireza Rezvanian +4 more
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Preference Aware Influence Maximization
2016With the development of social network, online marketing has become more popular and developed in an unprecedented scale. Viral marketing propagates influence through ‘word-of-mouth’ effect. As for development of viral marketing, it is critical to select a set of influential users in the network to propagate influence as much as possible with limited ...
Jiang, Changbo +3 more
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DeepWalk Based Influence Maximization (DWIM): Influence Maximization Using Deep Learning
Intelligent Automation & Soft Computing, 2023null Sonia, Kapil Sharma, Monika Bajaj
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Influence blocking maximization on networks: Models, methods and applications
Physics Reports, 2022Ling Chen, Yi-Cheng Zhang
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