Online Influence Maximization under Linear Threshold Model
Authors: Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen
NeurIPS 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This is the first theoretical result in such order for OIM under the LT model. |
| Researcher Affiliation | Collaboration | 1Shanghai Jiao Tong University 2Microsoft Research |
| Pseudocode | Yes | Algorithm 1 LT-Lin UCB; Algorithm 2 OIM-ETC |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not mention using any specific dataset for training or provide access information for one. |
| Dataset Splits | No | The paper is theoretical and does not provide specific dataset split information for validation. |
| Hardware Specification | No | The paper is theoretical and does not provide specific hardware details used for running experiments. |
| Software Dependencies | No | The paper is theoretical and does not provide specific ancillary software details with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not contain specific experimental setup details. |