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Research on the Algorithm for Enhancing Cohesion of Part-time Student Groups Based on Network Structure

  • Yang Yang
  • , Yuxiao Zhang*
  • , Li Wang
  • , Tingyezhi Hu
  • , Yuan Wang
  • , Zhongshuai Liu
  • , Zekai Jiang
  • , Xinyu Liu
  • , Kunrui Liu
  • *Corresponding author for this work
  • Beijing University of Technology
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Part-time education programs face inherent challenges in fostering group cohesion due to students’ dispersed schedules and limited interaction opportunities. To address this, this study proposes a novel network optimization algorithm (INLMC) that enhances social connectivity in part-time student networks. Leveraging complex network hierarchies, our method identifies structurally pivotal students through influence analysis and strategically establishes cross-layer connections to maximize cohesion. Validated on real academic networks, INLMC significantly outperforms conventional approaches in computational efficiency while achieving near-optimal cohesion improvement. This work provides educators with a theoretically grounded tool to strengthen collaborative learning in flexible education models.

Original languageEnglish
Title of host publicationProceedings of 2025 International Conference on Management Science and Computer Engineering, MSCE 2025
PublisherAssociation for Computing Machinery, Inc
Pages256-261
Number of pages6
ISBN (Electronic)9798400715969
DOIs
StatePublished - 23 Sep 2025
Event2025 International Conference on Management Science and Computer Engineering, MSCE 2025 - Dalian, China
Duration: 6 Jun 20258 Jun 2025

Publication series

NameProceedings of 2025 International Conference on Management Science and Computer Engineering, MSCE 2025

Conference

Conference2025 International Conference on Management Science and Computer Engineering, MSCE 2025
Country/TerritoryChina
CityDalian
Period6/06/258/06/25

Keywords

  • Complex Networks
  • Greedy Algorithm
  • Group Cohesion
  • Higher Education Management
  • Part-time Students

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