This repository provides a reference for the analysis of the paper:
What Does Perception Bias on Social Networks Tell Us about Friend Count Satisfaction? Shen Yan, Kristen M. Altenburger, Yi-Chia Wang, and Justin Cheng. TheWebConf, 2022.
This repository contains code that demonstrates how we created figures in the paper. We do not include internal data for replicating results.
The analysis notebook "Publication_webconf_clean.ipynb" includes the code for the main figures in the paper.
FriendshipSatisfactionDiversity is MIT Licensed, as found in the LICENSE file.
- Shen Yan, shenyan@usc.edu
- Kristen M. Altenburger, kaltenburger@fb.com
If you find FriendshipSatisfactionDiversity useful for your research, please consider citing the following paper
@inproceedings{friendshipsatisfactiondiversity-www2022,
author = {Shen, Yan and Altenburger, Kristen M. and Wang, Yi-Chia and Cheng, Justin},
title = {What Does Perception Bias on Social Networks Tell Us about Friend Count Satisfaction?},
booktitle = {Proceedings of the 2022 World Wide Web Conference},
year = {2022}
}
Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
This source code is licensed under the license found in the LICENSE file in the root directory of this source tree.