Extended methods for influence maximization in dynamic networks
Abstract Background The process of rumor spreading among people can be represented as information diffusion in social network. The scale of rumor spread changes greatly depending on starting nodes. If we can select nodes that contribute to large-scale diffusion, the nodes are expected to be importan...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2018-10-01
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| Series: | Computational Social Networks |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40649-018-0056-8 |