Abstract
In this paper, we show several results about the strict submodularity of the influence spread in a social network with general threshold model if at each node, the threshold function is strictly increasing and strictly submodular.
| Original language | English |
|---|---|
| Pages (from-to) | 348-356 |
| Number of pages | 9 |
| Journal | Journal of Combinatorial Optimization |
| Volume | 41 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2021 |
| Externally published | Yes |
Keywords
- Influence spread
- Social network
- Strictly submodular
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