Network Repository

The first interactive data and network data repository with real-time visual analytics. Network repository is not only the first interactive repository, but also the largest network repository with thousands of donations in 30+ domains (from biological to social network data). This large comprehensive collection of network graph data is useful for making significant research findings as well as benchmark network data sets for a wide variety of applications and domains (e.g., network science, bioinformatics, machine learning, data mining, physics, and social science) and includes relational, attributed, heterogeneous, streaming, spatial, and time series network data as well as non-relational machine learning data. All graph data sets are easily downloaded into a standard consistent format. We also have built a multi-level interactive graph analytics engine that allows users to visualize the structure of the network data as well as macro-level graph data statistics as well as important micro-level network properties of the nodes and edges.本平台为全球首个搭载实时可视化分析功能的交互式数据与网络数据存储库。该网络存储库不仅是首个交互式存储库，更是当前规模最大的网络数据存储库，收录了来自30余个领域的数千份捐赠数据集，覆盖从生物网络到社会网络的各类数据范畴。这套体量庞大、内容全面的网络图数据集集合，既可用于产出具有重要学术价值的研究成果，也可作为适用于多种应用场景与研究领域的基准网络数据集，涵盖的研究方向包括网络科学、生物信息学、机器学习、数据挖掘、物理学及社会科学等；其数据类型包含关联型、属性型、异构图、流式、空间型及时序网络数据，同时还涵盖非关联型机器学习数据。所有图数据集均可便捷下载为统一标准格式。此外，我们还搭建了多级交互式图分析引擎，支持用户可视化呈现网络数据结构、宏观层面的图数据统计特征，以及节点与边的关键微观网络属性。

搜集汇总

背景与挑战

背景概述

Network Repository是首个具备实时可视化分析功能的交互式网络数据仓库，也是最大的网络数据仓库，涵盖来自30多个领域的数千个数据集。它提供多种网络数据类型，并内置多级交互式图分析引擎，便于用户下载、可视化和分析网络结构。