A robust optimization model for influence maximization in social networks with heterogeneous nodes
Abstract Influence maximization is the problem of trying to maximize the number of influenced nodes by selecting optimal seed nodes, given that influencing these nodes is costly. Due to the probabilistic nature of the problem, existing approaches deal with the concept of the expected number of nodes...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-08-01
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| Series: | Computational Social Networks |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40649-021-00096-x |