Biased Opinion Dynamics: When the Devil is in the Details
Authors: Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo
IJCAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We analyze the convergence of the resulting process under two wellknown update rules, namely majority and voter. The framework we propose exhibits a rich structure, with a nonobvious interplay between topology and underlying update rule. [...] The relatively simple, yet general, model that we consider allows analytical investigation of the following question: How does a particular combination of network structure and opinion dynamics affects convergence to global adoption of the dominant opinion? In particular, how conducive is a particular combination to rapid adoption? |
| Researcher Affiliation | Academia | Aris Anagnostopoulos1 , Luca Becchetti1 , Emilio Cruciani2 , Francesco Pasquale3 and Sara Rizzo4 1Sapienza, University of Rome, Italy 2Inria, I3S Lab, UCA, CNRS, Sophia Antipolis, France 3Tor Vergata, University of Rome, Italy 4Gran Sasso Science Institute, L Aquila, Italy |
| Pseudocode | No | The paper is theoretical and does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link regarding the release of open-source code for the described methodology. |
| Open Datasets | No | This is a theoretical paper and does not involve the use of datasets for training or experimentation. |
| Dataset Splits | No | This is a theoretical paper and does not involve dataset validation splits. |
| Hardware Specification | No | This is a theoretical paper and does not report on experiments requiring specific hardware specifications. |
| Software Dependencies | No | This is a theoretical paper and does not mention specific software dependencies with version numbers for replication. |
| Experiment Setup | No | This is a theoretical paper and does not describe an experimental setup or hyperparameters. |