Data from: A framework for the identification of long-term social avoidance in longitudinal datasets

Animal sociality is of significant interest to evolutionary and behavioural ecologists, with efforts focused on the patterns, causes and fitness outcomes of social preference. However, individual social patterns are the consequence of both attraction to (preference for) and avoidance of conspecifics. Despite this, social avoidance has received far less attention than social preference. Here, we detail the necessary steps to generate a spatially explicit, iterative null model which can be used to identify non-random social avoidance in longitudinal studies of social animals. We specifically identify and detail parameters which will influence the validity of the model. To test the usability of this model, we applied it to two longitudinal studies of social animals (Eastern water dragons (Intellegama leseurii) and bottlenose dolphins (Tursiops aduncus) to identify the presence of social avoidances. Using this model allowed us to identify the presence of social avoidances in both species. We hope that the framework presented here inspires interest in addressing this critical gap in our understanding of animal sociality, in turn allowing for a more holistic understanding of social interactions, relationships and structure.进化生态学与行为生态学界对动物社会性有着浓厚的研究兴趣，现有研究多聚焦于社交偏好的模式、成因及其适合度后果。然而，个体社交模式实则源于对同种个体的吸引（即社交偏好）与规避两类行为。尽管如此，相较于社交偏好，同种规避行为受到的研究关注却要少得多。本研究详细阐述了构建空间显式迭代零模型的必要步骤，该模型可用于在社交动物的纵向研究中识别非随机的同种规避行为。我们还专门明确并详述了会影响该模型有效性的各项参数。为验证该模型的可用性，我们将其应用于两项社交动物的纵向研究（东部水龙*Intellegama leseurii*与宽吻海豚*Tursiops aduncus*），以探究其社交规避行为的存在性。借助该模型，我们成功在两个物种中均检测到了社交规避行为的存在。我们期望本文提出的研究框架能够激发学界针对动物社会性研究中这一关键空白展开探索的兴趣，进而推动我们对社交互动、社交关系与社交结构形成更为全面的认知。