Network Report: A Structured Description for Network Datasets
Xinyi Zheng, Ryan A. Rossi, Nesreen Ahmed, Dominik Moritz

TL;DR
This paper introduces 'network report,' a structured format for describing network datasets to improve transparency, understanding, and responsible use across diverse scientific domains.
Contribution
It proposes a standardized network report format that extends existing dataset reporting practices with network-specific details, enhancing dataset sharing and comprehension.
Findings
Defines the structure and content of network reports
Highlights the importance of transparency in network datasets
Aims to improve dataset sharing and responsible use
Abstract
The rapid development of network science and technologies depends on shareable datasets. Currently, there is no standard practice for reporting and sharing network datasets. Some network dataset providers only share links, while others provide some contexts or basic statistics. As a result, critical information may be unintentionally dropped, and network dataset consumers may misunderstand or overlook critical aspects. Inappropriately using a network dataset can lead to severe consequences (e.g., discrimination) especially when machine learning models on networks are deployed in high-stake domains. Challenges arise as networks are often used across different domains (e.g., network science, physics, etc) and have complex structures. To facilitate the communication between network dataset providers and consumers, we propose network report. A network report is a structured description that…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Network Analysis Techniques · Data Quality and Management · Mental Health Research Topics
