SCube：一个隔离发现工具
SCube: A Tool for Segregation Discovery
摘要：
隔离是指现实世界或网络世界中社会群体的分离。隔离发现包括发现隔离的上下文。在现代数字社会中，由于社会数据的大量性和多样性，发现隔离是具有挑战性的。我们提出了一个工具，支持隔离发现关系和图形数据。SCube系统建立在属性图聚类和频繁项集挖掘之上。它为分析人员提供了一个多维隔离数据立方体，用于探索性数据分析。演示首先通过相关的社会科学概念引导观众。然后，它侧重于围绕性别职业隔离的案例研究的情景。意大利和爱沙尼亚公司的董事会的两个真实的和大型的数据集将探索在搜索隔离的情况。讨论了SCube系统的体系结构及其计算效率挑战和解决方案。
英文摘要：
Segregation is the separation of social groups in the physical or in the online world. Segregation discovery consists of finding contexts of segregation. In the modern digital society, discovering segregation is challenging, due to the large amount and the variety of social data. We present a tool in support of segregation discovery from relational and graph data. The SCube system builds on attributed graph clustering and frequent itemset mining. It offers to the analyst a multi-dimensional segregation data cube for exploratory data analysis. The demonstration first guides the audience through the relevant social science concepts. Then, it focuses on scenarios around case studies of gender occupational segregation. Two real and large datasets about the boards of directors of Italian and Estonian companies will be explored in search of segregation contexts. The architecture of the SCube system and its computational efficiency challenges and solutions are discussed.
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