Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Double Auction on Diffusion Network
Authors: Miao Li, Yuhan Cao, Dengji Zhao
AAAI 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In the enlarged market, our experiments demonstrate that the social welfare of the solution is almost optimal (although in theory, optimal social welfare is not achievable with the other properties). |
| Researcher Affiliation | Academia | Miao Li, Yuhan Cao and Dengji Zhao School of Information Science and Technology, Shanghai Tech University, Shanghai, China EMAIL |
| Pseudocode | Yes | Algorithm 1: Mc Afee’s Trade Reduction (MTR), Algorithm 2: Trade Reduction with Reserve Price (TRP), Algorithm 3: Dynamic Trade Reduction (DTR), Algorithm 4: Dynamic Trade Reduction for Multi-unit Auction (DTR4MA) |
| Open Source Code | No | The paper does not provide any explicit statements about the availability of its source code, nor does it include a link to a code repository. |
| Open Datasets | Yes | We adopt the small-world network structure (Watts and Strogatz 1998) as the foundation of our experiments, known for its ability to effectively model real-world social networks. [...] The valuations of all traders are randomly selected (independently and uniformly) from the set {0, 1, 2, . . . , 10000}. |
| Dataset Splits | No | The paper describes generating '1000 small-world graphs' for experiments but does not specify explicit training, validation, or test splits of a single dataset, nor does it mention a dedicated validation set. |
| Hardware Specification | No | The paper does not provide any specific hardware details such as GPU/CPU models, memory, or cloud instance types used for running the experiments. |
| Software Dependencies | No | The paper does not specify any software dependencies with version numbers, such as programming languages, libraries, or specialized solvers. |
| Experiment Setup | Yes | In this experiment, we study the impact of the connectivity, denoted as c = k |N|, where the parameter k indicates the expected number of neighbors for each agent in Wattz and Strogatz’s model. We maintain fixed values of |N0| = 300, |S| = |N| / 2 = 500 and fixed rewiring probability pr = 0.3. The valuations of all traders are randomly selected (independently and uniformly) from the set {0, 1, 2, . . . , 10000}. |