论文标题
从交互数据中重建签名关系
Reconstructing signed relations from interaction data
论文作者
论文摘要
积极和消极的关系在人类行为中起着至关重要的作用，并塑造了我们所生活的社区。尽管有重要的数据，但有关签名关系的数据很少见，并且通常通过调查收集。相互作用数据以接近或通信数据的形式更丰富。但是，到目前为止，它不能用于检测签署的关系。在本文中，我们展示了如何使用此类数据提取基础签名的关系。采用统计网络方法，我们在四个社区中构建了签名关系网络。然后，我们证明这些关系与调查中报道的关系相对应。此外，推断的关系使我们能够在性别，宗教信仰和财务背景方面研究个人的同质性。我们评估了三合会在签署网络中研究组凝聚力的重要性。
Positive and negative relations play an essential role in human behavior and shape the communities we live in. Despite their importance, data about signed relations is rare and commonly gathered through surveys. Interaction data is more abundant, for instance, in the form of proximity or communication data. So far, though, it could not be utilized to detect signed relations. In this paper, we show how the underlying signed relations can be extracted with such data. Employing a statistical network approach, we construct networks of signed relations in four communities. We then show that these relations correspond to the ones reported in surveys. Additionally, the inferred relations allow us to study the homophily of individuals with respect to gender, religious beliefs, and financial backgrounds. We evaluate the importance of triads in the signed network to study group cohesion.
