Collaboration patterns at scheduling in 10 years

Xiujuan Xu, Yu Liu*, Ruixin Ma, Quan Z. Sheng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution


Scheduling analysis, which focuses on the evaluation, testing and verification of the scheduling systems and the algorithms used in real-time operations, is critical to a number of research areas such as databases and transaction management. In order to better understand the field of scheduling, we select and investigate 9,611 papers about scheduling from five SCI journals which have published many excellent papers about scheduling. This paper presents a collaboration analysis of the scheduling field. In addition, we generate three networks to analyze collaboration patterns between scientists, including co-authorship network, keyword co-occurrence network and author co-keyword network to show the collaboration relationship between authors in the field of scheduling. The research findings from our work can help researchers understand the research status of scheduling and gain valuable insights on future technical trends in the scheduling field.

Original languageEnglish
Title of host publication14th International Conference on Cooperative Design, Visualization, and Engineering (CDVE 2017)
Subtitle of host publicationproceedings
EditorsYuhua Luo
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Number of pages8
ISBN (Electronic)9783319668055
ISBN (Print)9783319668048
Publication statusPublished - 2017
Event14th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2017 - Mallorca, Spain
Duration: 17 Sep 201720 Sep 2017

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameInformation Systems and Applications including Internet/Web, and HCI


Conference14th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2017


  • Research collaboration
  • Scheduling
  • Social network analysis
  • Visualization

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