We examine static and dynamic social network structure in 176 villages within the Copan Department of Honduras across two data waves (2016, 2019), using detailed data on multiplex networks for 20,232 individuals enrolled in a longitudinal survey. These networks capture friendship, health advice, financial help, and adversarial relationships, allowing us to show how cooperation and conflict jointly shape social structure. Using node-level network measures derived from near-census sociocentric village networks, we leverage mixed-effects zero-inflated negative binomial models to assess the influence of individual attributes, such as gender, marital status, education, religion, and indigenous status, and of village characteristics, on the dynamics of social networks over time. We complement these node-level models with dyadic assortativity (odds-ratio-based homophily) and community-level measures to describe how sorting by key attributes differs across network types and between waves. Our results demonstrate significant assortativity based on gender and religion, particularly within health and financial networks. Across networks, gender and religion exhibit the most consistent assortative mixing. Additionally, community-level assortativity metrics indicate that educational and financial factors increasingly influence social ties over time. Our findings provide insights into how personal attributes and community dynamics interact to shape network formation and socio-economic relationships in rural settings over time.

翻译：本研究基于洪都拉斯科潘省176个村庄在2016年和2019年两轮调查数据，通过包含20,232名参与者的纵向调查所获取的多重网络细粒度数据，分析了静态与动态社会网络结构。这些网络涵盖了友谊、健康建议、经济援助及对抗性关系，使我们能够揭示合作与冲突如何共同塑造社会结构。利用基于近似普查的自我中心型村庄网络所推导的节点级网络指标，我们采用混合效应零膨胀负二项式模型，评估了性别、婚姻状况、教育程度、宗教信仰及原住民身份等个体属性，以及村庄特征，对社会网络动态演变的影响。我们通过二元同配性（基于比值比的同质性）和社区层面的指标对这些节点级模型进行补充，以描述关键属性的分选模式在不同网络类型及调查轮次间的差异。研究结果显示，基于性别和宗教信仰的同配性效应显著，尤其在健康与经济网络中表现突出。在所有网络中，性别与宗教呈现出最稳定的同配性混合模式。此外，社区层面的同配性指标表明，教育与经济因素随时间推移对社会关系的影响日益增强。我们的发现揭示了个人属性与社区动态如何相互作用，共同塑造农村环境中网络形成与社会经济关系的长期演变。