Efficient Computation of Semivalues for Game-Theoretic Network Centrality

Authors: Piotr SzczepaƄski, Mateusz Tarkowski, Tomasz Michalak, Paul Harrenstein, Michael Wooldridge

AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We prove that all extensions that can be expressed in this framework are computable in polynomial time.
Researcher Affiliation Academia Warsaw University of Technology, Poland Mateusz K. Tarkowski University of Oxford, United Kingdom Tomasz P. Michalak1,2 and Paul Harrenstein1 and Michael Wooldridge1 1University of Oxford, United Kingdom 2University of Warsaw, Poland
Pseudocode Yes Algorithm 1: (SEMI) The semivalue-based centrality
Open Source Code No The paper does not provide concrete access to source code for the methodology described. There are no explicit statements about code release or links to repositories.
Open Datasets No The paper is theoretical and does not report on empirical studies using datasets, hence no information about training data is provided.
Dataset Splits No The paper describes theoretical work and does not report on empirical studies, thus no specific dataset split information for validation is provided.
Hardware Specification No The paper is theoretical and does not report on experimental implementations, therefore no specific hardware details are mentioned.
Software Dependencies No The paper describes theoretical concepts and algorithms but does not mention specific software dependencies with version numbers for experimental replication.
Experiment Setup No The paper is theoretical and does not include details on experimental setup such as hyperparameters or training configurations.