A survey paper titled 'Influence Maximization Revisited: The State of the Art and the Gaps that Remain' by Akhil Arora from École Polytechnique Fédérale de Lausanne. It is published on the paperswithcode platform under an Open Access (green) license. The paper likely reviews and synthesizes existing research on influence maximization in social networks.
Use Cases
- Benchmarking influence maximization algorithms against literature findings (inferred from domain, verify after download)
- Identifying open research problems for new academic work (inferred from domain, verify after download)
- Surveying theoretical models and empirical results in the field (inferred from domain, verify after download)
Strengths
- Published on the paperswithcode platform, which aggregates machine learning resources.
- Authored by a researcher from École Polytechnique Fédérale de Lausanne.
- Available under an Open Access (green) license.
Limitations
- Metadata is minimal; actual content requires verification after download.
- The specific data format, size, and row count are unknown.
- The last update date is unknown; freshness unverified.
Provenance
- Source
- paperswithcode