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 [1].

Strategic Network Formation through an Intermediary

Authors: Elliot Anshelevich, Onkar Bhardwaj, Koushik Kar

IJCAI 2015 | Venue PDF | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We investigate the existence and worstcase ef๏ฌciency (price of anarchy) of stable solutions in these settings, and especially when the intermediary uses common pricing schemes like proportional pricing or marginal cost pricing. For both these pricing schemes we prove existence of stable solutions and completely characterize their structure, as well as generalize these results to a large class of pricing schemes. Our main results are on bounding the price of anarchy in such settings...
Researcher Affiliation Academia Elliot Anshelevich and Onkar Bhardwaj and Koushik Kar Rensselaer Polytechnic Institute 110 8th Street, Troy NY 12180 EMAIL, EMAIL, EMAIL
Pseudocode No The paper describes theoretical models and proofs but does not include any structured pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any concrete access information (e.g., repository link, explicit statement of code release) for the methodology described.
Open Datasets No The paper is theoretical and does not describe any experiments that would use a dataset for training.
Dataset Splits No The paper is theoretical and does not describe any experiments that would use dataset splits for validation.
Hardware Specification No The paper is theoretical and does not describe experiments that would require specific hardware specifications.
Software Dependencies No The paper is theoretical and does not describe experiments, therefore no software dependencies with version numbers are listed.
Experiment Setup No The paper is theoretical and does not describe any experiments or their setup details, such as hyperparameters or training configurations.