Online Social Community Sub-Location Classification

Jiarui Wang, Xiaoyun Wang, Chun Ming Lai, S. Felix Wu

研究成果: Conference contribution

摘要

Facebook public pages are a popular form of online social network (OSN) communities. The "like"connections between public pages create a graph of pages on Facebook. Geographic location is a crucial piece of metadata for pages, but it is often omitted by page managers. We propose a classification algorithm to restore the missing subdivision location of Facebook public pages. We propose neighborhood state distribution vectors as features for graph neural networks to classify the state of the pages. Then, we define intrastate and interstate Facebook public pages based on the high-probability state label outputted by the classification model. Finally, we profile states with different influences over the online communities by analyzing the classification confusion matrix, interstate page percentages, and interstate pages across state borders. Our method achieves better accuracy (87.52%) and F1 score (0.8756) than previous studies (66.2% and 73.08%).

原文English
主出版物標題Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023
編輯B. Aditya Prakash, Dong Wang, Tim Weninger
發行者Association for Computing Machinery, Inc
頁面276-280
頁數5
ISBN(電子)9798400704093
DOIs
出版狀態Published - 2023 11月 6
事件15th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023 - Kusadasi, Turkey
持續時間: 2023 11月 62023 11月 9

出版系列

名字Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023

Conference

Conference15th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023
國家/地區Turkey
城市Kusadasi
期間23-11-0623-11-09

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦網路與通信
  • 資訊系統
  • 資訊系統與管理
  • 安全、風險、可靠性和品質
  • 社會心理學
  • 通訊

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