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A robust optimization model for influence maximization in social networks with heterogeneous nodes
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| Published in: | Computational Social Networks |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2021
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| Subjects: | |
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| _version_ | 1864030187775066117 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Computational Social Networks |
| description | |
| discipline_display | Social Sciences |
| discipline_facet | Social Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:22324 |
| institution | FRELIP |
| journal_source_facet | Computational Social Networks |
| publishDate | 2021 |
| publishDateSort | 2021 |
| record_format | rss_article |
| spellingShingle | A robust optimization model for influence maximization in social networks with heterogeneous nodes — — — — — Social Web Psychology Social Sciences |
| sub_discipline_display | Psychology |
| sub_discipline_facet | Psychology |
| subject_display | — — — — — Social Web Psychology Social Sciences — — — — — Social Web Psychology Social Sciences |
| subject_facet | — — — — — Social Web Psychology Social Sciences |
| title | A robust optimization model for influence maximization in social networks with heterogeneous nodes |
| title_auth | A robust optimization model for influence maximization in social networks with heterogeneous nodes |
| title_full | A robust optimization model for influence maximization in social networks with heterogeneous nodes |
| title_fullStr | A robust optimization model for influence maximization in social networks with heterogeneous nodes |
| title_full_unstemmed | A robust optimization model for influence maximization in social networks with heterogeneous nodes |
| title_short | A robust optimization model for influence maximization in social networks with heterogeneous nodes |
| title_sort | a robust optimization model for influence maximization in social networks with heterogeneous nodes |
| topic | — — — — — Social Web Psychology Social Sciences |
| url | https://link.springer.com/article/10.1186/s40649-021-00096-x |