Departamento de Física Aplicada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Unidad Mérida, Mérida, Yucatán, México.
PLoS One. 2013;8(2):e55371. doi: 10.1371/journal.pone.0055371. Epub 2013 Feb 7.
Complex networks are used to describe interactions in many real world systems, including economic, biological and social systems. An analysis was done of inter-student friendship, enmity and kinship relationships at three elementary schools by building social networks of these relationships and studying their properties. Friendship network measurements were similar between schools and produced a Poisson topology with a high clustering index. Enmity network measurements were also similar between schools and produced a power law topology. Spatial confinement and the sense of belonging to a social group played vital roles in shaping these networks. Two models were developed which generate complex friendship and enmity networks that reproduce the properties observed at the three studied elementary schools.
复杂网络被用于描述许多真实世界系统中的相互作用，包括经济、生物和社会系统。通过构建这些关系的社交网络并研究它们的性质，对三所小学的学生之间的友谊、敌意和亲情关系进行了分析。友谊网络的测量结果在学校之间相似，呈现泊松拓扑结构，聚类指数较高。敌意网络的测量结果也在学校之间相似，呈现幂律拓扑结构。空间限制和对社会群体的归属感在塑造这些网络方面起着至关重要的作用。开发了两种模型，这些模型生成的复杂友谊和敌意网络再现了在三所研究的小学中观察到的性质。
