Invasion Dynamics in the Biased Voter Process
Authors: Loke Durocher, Panagiotis Karras, Andreas Pavlogiannis, Josef Tkadlec
IJCAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | An experimental evaluation of some proposed heuristics corroborates our results. |
| Researcher Affiliation | Academia | Aarhus University, Aabogade 34, Aarhus, Denmark Harvard University, 1 Oxford Street, Cambridge, USA |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide an unambiguous statement or a link to open-source code for the described methodology. |
| Open Datasets | Yes | We evaluate all methods on four networks from the Netzschleuder database [Peixoto, 2020], chosen arbitrarily. |
| Dataset Splits | No | The paper mentions selecting a budget k for the initial seed set (k = 5% of nodes), but does not provide specific train/validation/test dataset splits. |
| Hardware Specification | No | The paper does not explicitly describe the hardware used to run its experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers. |
| Experiment Setup | Yes | In each case, we choose a budget k equal to 5% of the nodes of the graph. |