Modelling Individual Negative Emotion Spreading Process with Mobile Phones

Authors: Zhanwei Du, Yongjian Yang, Chuang Ma, Yuan Bai

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

Reproducibility Variable Result LLM Response
Research Type Experimental Taking the MIT Social Evolution dataset as an example, the experimental results verify the efficacy of our techniques on real-world data.
Researcher Affiliation Academia Zhanwei Du,Yongjian Yang, Chuang Ma, Yuan Bai Jilin University Changchun, 130012 PRC
Pseudocode No The paper does not contain any structured pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any statements about releasing open-source code for the described methodology.
Open Datasets Yes GCHMSM is tested on the MIT Social Evolution Dataset (Madan et al. 2012).
Dataset Splits No The paper mentions using the MIT Social Evolution Dataset for a specific period but does not provide explicit training, validation, or test dataset splits or percentages.
Hardware Specification No The paper does not provide specific details about the hardware (e.g., CPU, GPU models, memory) used for running its experiments.
Software Dependencies No The paper mentions using a 'Gibbs Sampling method' but does not provide specific software names or version numbers for any libraries or dependencies.
Experiment Setup No The paper describes the model parameters and inference method but does not provide specific experimental setup details such as hyperparameter values or training configurations.