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Transitivity and structural balance in marmot social networks

机译:土拨鼠社交网络中的传递与结构平衡

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Social relationships are composed of both positive (affiliative) and negative (agonistic) interactions, representing opposing effects. Social network theory predicts that positive relationships should be transitive; thus, the friend of a friend is more likely to be a friend. Further, when considering both positive and negative relationships jointly, structural balance theory predicts that certain configurations of positive and negative relationships in a triad are inherently less stable (unbalanced) and should tend to be eliminated. However, structural balance has been rarely examined in nonhuman social systems. We tested for transitivity and structural balance in social networks of socially flexible yellow-bellied marmots (Marmota flaviventer) and asked if group size, network density, or group composition affected the degree of structural balance. We found a consistent pattern of significant transitivity in positive interactions, some transitivity in negative interactions, and some evidence of structural balance. In particular, a weak definition of structural balance is probably more common than strong structural balance, which used a stricter definition of balance. Network size limited the ability to detect these social processes, and smaller networks were less likely to show significant transitivity or structural balance. The proportion of adult females in a group affected the level of transitivity but did not affect the degree of structural balance. Our study suggests that there are intriguing similarities in social processes across diverse animal societies and that studying triads and network motifs may help identify basic social mechanisms linking local to global structure.Significance statementSocial network theory predicts that basic social mechanisms should lead to similar structural properties across different societies. For example, positive relationships should be transitive (a friend of a friend is a friend), and certain combinations of positive and negative relationships represent conflict and should be unstable over time (e.g., a friend of a friend being an enemy is an unstable state). This latter theory, called structural balance, has rarely been examined in nonhuman societies; hence, we tested for transitivity and structural balance in groups of free-living yellow-bellied marmots. Positive interactions were generally transitive, but evidence for structural balance was inconsistent. Furthermore, group composition could affect network transitivity, and small network size (associated with few interactions) limits ability to detect significant patterns. Our results suggest that transitivity is fundamental in structuring positive relationships, while some forms of structural balance are present but not widespread.
机译:社会关系由积极(隶属性)和负(激动主义)相互作用组成,代表反对效应。社交网络理论预测正面关系应该是传递的;因此,朋友的朋友更有可能成为朋友。此外,在共同考虑正面和负面关系的情况下,结构平衡理论预测三合会中的某些配置的正面和负面关系本质上不那么稳定(不平衡),并且应该倾向于消除。然而,在非人类社会系统中,结构平衡很少。我们在社会柔性黄腹土拨鼠(Marmota Flaviventer)的社交网络中进行了传递和结构平衡,并询问组规模,网络密度或组组成是否影响了结构平衡程度。我们发现阳性相互作用中的显着传递效力的一致模式,在负面相互作用中的一些传递,以及一些结构平衡的证据。特别是,结构平衡的弱定定义可能比强大的结构平衡更常见,这利用更严格的平衡定义。网络大小限制了检测这些社交过程的能力,并且较小的网络不太可能表现出显着的传递性或结构平衡。群体中成年女性的比例影响了传递水平,但不影响结构平衡程度。我们的研究表明,各种动物社会的社会过程中有兴趣的相似之处,研究三合会和网络图案可能有助于确定与全球结构相关的基本社会机制。既纪Iignifications的数据机制预测,基本的社会机制应该导致相似的结构性不同的社会。例如,积极的关系应该是及时存在的及时的关系(朋友是朋友),以及积极关系的某些组合代表冲突,并且随着时间的推移应该是不稳定的(例如,朋友是敌人的朋友是一个不稳定的状态)。这种被称为结构性平衡的后一种理论很少被审查在非努姆社会中;因此,我们在自由生活的黄腹部土拨鼠组中测试了分支性和结构平衡。阳性相互作用普遍及异步,但结构平衡的证据不一致。此外,组组成可能影响网络传递性,并且小网络大小(与几个相互作用相关)限制了检测重要模式的能力。我们的研究结果表明,过渡是结构性积极关系的基础,而某些形式的结构平衡存在但并不普遍。

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