Use our pre-submission checklist
Avoid common mistakes on your manuscript.
The World Wide Web journal gratefully acknowledges the editorial work of Xuemin Lin (University of New South Wales, Australia), Lu Qin (University of Technology Sydney, Australia), Wenjie Zhang (University of New South Wales, Australia) and Ying Zhang (University of Technology Sydney, Australia) on this special issue on Large-Scale Graph Data Analytics.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Editor’s Note. World Wide Web 25, 533 (2022). https://doi.org/10.1007/s11280-022-01028-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11280-022-01028-z