@inproceedings{bc79796aa95940eba0a7485c5be2df8a,
title = "Designing a Social Network Framework Utilizing New Swarm and P2P Technologies for Application in Office Automation",
abstract = "Our research develops and tests a new social network model based on Swarm intelligence and peer-to-peer (P2P) technology, specifically targeting office automation needs. By taking course syllabus management as an experimental application case, we demonstrate how this model can effectively improve work efficiency and data processing capabilities in education. Experimental results show that compared with traditional office automation methods, our Swarm and P2P technology models significantly improve task completion speed and accuracy and greatly enhance document management efficiency by supporting asynchronous collaboration and automatic data filling: quality and user satisfaction. In addition, this model provides educational institutions with a more flexible and efficient educational resource management system by optimizing information flow and enhancing system responsiveness.",
keywords = "Social network model, Swarm intelligence, office automation",
author = "Muya Yao and Ngai Cheong and Yufei Hu and Fengwei Zhou",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 15th International Conference on Swarm Intelligence, ICSI 2024 ; Conference date: 23-08-2024 Through 26-08-2024",
year = "2024",
doi = "10.1007/978-981-97-7184-4\_30",
language = "English",
isbn = "9789819771837",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "363--374",
editor = "Ying Tan and Yuhui Shi",
booktitle = "Advances in Swarm Intelligence - 15th International Conference on Swarm Intelligence, ICSI 2024, Proceedings",
address = "Germany",
}