Role-Aware Conformity Modeling and Analysis in Social Networks

Authors: Jing Zhang, Jie Tang, Honglei Zhuang, Cane Leung, Juanzi Li

AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental We apply the proposed RCM to several academic research networks, and discover that people with higher degree and lower clustering coefficient are more likely to conform to others. We also evaluate RCM through the task of word usage prediction in academic publications, and show significant improvements over baseline models.
Researcher Affiliation Collaboration Department of Computer Science and Technology, Tsinghua University Department of Computer Science, University of Illinois at Urbana-Champaign ]Huawei Noah s Ark Lab
Pseudocode No The paper describes generative processes and EM steps in paragraph form, but it does not include a clearly labeled pseudocode or algorithm block.
Open Source Code No The paper does not contain any explicit statement about releasing the source code for the methodology, nor does it provide a link to a code repository.
Open Datasets Yes We apply our proposed RCM on a public available academic research data set1 [Footnote 1: http://arnetminer.org/citation/]
Dataset Splits No The paper states: "Specifically, we split each data set into training and test set. The training set contains the papers published in or before 2009, and the test set contains the papers published after 2009." While it defines training and testing sets, it does not explicitly mention or specify a separate validation set or its split details.
Hardware Specification No The paper does not specify any details about the hardware used to run the experiments, such as GPU models, CPU types, or memory.
Software Dependencies No The paper does not provide specific version numbers for any software components, libraries, or frameworks used in the experiments.
Experiment Setup Yes We empirically set δ as 3 years. We then fix K = 30 where the perplexity is stable and then analyze the number of roles R. Finally, we empirically set R = 13 in our experiments.