CAREER: Structure and resilience of social networks under population turnover

职业：人口流动下社交网络的结构和弹性

• 批准号: 1750606
• 负责人: Daizaburo Shizuka
• 金额: $ 68.19万
• 依托单位: University of Nebraska-Lincoln
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-04-15 至 2024-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1750606&HistoricalAwards=false
• 关键词: CAREER; Structure; resilience; social; networks

Animals live within social networks of individuals that affect each other's lives. However, social networks must change across time; for example, all social networks eventually lose individuals through death or dispersal, and new individuals join social networks through birth and immigration. Thus, the simple and universal processes of birth, death and movement fundamentally shape the structure of social networks at any given time. A major goal of this project is to understand how demography and social behavior interact to affect the development and stability of social networks across time. The project will integrate theoretical models with long-term field research focusing on the social network of flock associations in a wintering migrant bird species, the golden-crowned sparrow. Seasonal social networks in migratory birds allows for the repeated study of the process of network formation with a mix of old and new individuals present in the population each year. As a whole, this project will pose new questions that can shed light on the processes that govern how societies take shape, and the resilience of social structure in the face of constant change, in animal populations and even in human societies. The project will integrate research goals with two different types of educational activities: development of teaching curricula on reproducible research and the recruitment of students of immigrant/refugee background to higher education and science. This project proposes a general framework for understanding the temporal dynamics of social networks under population turnover. The model breaks the process into three steps: node loss, node attachment and social integration. Node loss and node attachment dynamics describe the effects of demography, while social integration captures the processes underlying the formation of new flock associations. This model will enable the study of the joint effects of demography, social processes, and fitness consequences of social position on social network structure. The field-based empirical work will explore natural long-term dynamics in social networks spanning multiple generations of a single avian species. Field experiments will be conducted to test the effects of social position on behaviors such as finding novel food sources, as well as, the effects of social relations on dominance interactions. The educational objectives of this project will make significant contributions towards improving education and enhancing diversity in STEM. This project will enhance the capacity for reproducible research among hundreds of undergraduate and graduate students through development of new curricula. The project will also work to increase recruitment of a significantly overlooked, under-served community, i.e., refugee and immigrant populations in the Midwest. Refugees are hidden sources of diversity in Nebraska and enhancing opportunities for these students will strengthen the U.S. workforce.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

动物生活在影响彼此生活的个人的社交网络中。但是，社交网络必须随时间变化。例如，所有社交网络最终都会因死亡或散布而失去个人，而新个人则通过出生和移民加入社交网络。因此，在任何给定时间，简单而普遍的出生，死亡和运动的过程从根本上塑造了社交网络的结构。该项目的主要目标是了解人口统计学和社会行为如何相互作用，以影响跨时间的社交网络的发展和稳定。该项目将将理论模型与长期现场研究集成，重点介绍了越冬鸟类种类的羊群联想的社交网络，即黄金冠的麻雀。迁徙鸟类中的季节性社交网络可以重复研究网络形成过程，每年都有新旧人群的混合。总体而言，该项目将提出新的问题，可以阐明管理社会的形成过程，以及面对不断变化的社会结构的韧性，在动物人群中，甚至在人类社会中。该项目将将研究目标与两种不同类型的教育活动相结合：开发有关可重复研究的教学课程，并招募移民/难民背景的高等教育和科学的学生。该项目提出了一个一般框架，以了解人口营业额下的社交网络的时间动态。该模型将过程分为三个步骤：节点丢失，节点附件和社会整合。节点丢失和节点附件动力学描述了人口统计学的影响，而社会整合捕获了新羊群相关的形成的过程。该模型将使人口统计学，社会过程和社会地位对社会网络结构的健身后果的共同影响进行研究。基于现场的经验工作将探索跨越多代鸟类物种的社交网络中的自然长期动态。将进行现场实验，以测试社会地位对行为的影响，例如寻找新颖的食物来源以及社会关系对主导互动的影响。 该项目的教育目标将为改善教育和增强STEM多样性做出重大贡献。该项目将通过开发新课程来增强数百名本科生和研究生的可再现研究能力。该项目还将致力于增加对中西部地区的难民和移民人口的大量忽视，服务不足的社区的招募。难民是内布拉斯加州多样性的隐藏来源，并增强这些学生的机会将加强美国的劳动力。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，认为值得通过评估来获得支持。

项目成果

The long view on demographic effects on social networks: a response to comments on Shizuka and Johnson

人口对社交网络影响的长远观点：对静香和约翰逊评论的回应

• DOI: 10.1093/beheco/arz184
• 发表时间: 2019
• 期刊: Behavioral Ecology
• 影响因子: 2.4
• 作者: Shizuka, Daizaburo;Johnson, Allison E;Simmons, Leigh
• 通讯作者: Simmons, Leigh

How demographic processes shape animal social networks

• DOI: 10.1093/beheco/arz083
• 发表时间: 2019-06
• 期刊: Behavioral Ecology
• 影响因子: 2.4
• 作者: D. Shizuka;Allison E. Johnson

A migratory sparrow has personality in winter that is independent of other traits

• DOI: 10.1016/j.anbehav.2021.06.017
• 发表时间: 2021-07-14
• 期刊: ANIMAL BEHAVIOUR
• 影响因子: 2.5
• 作者: Block, Theadora A.;Star, Rachel;Lyon, Bruce E.
• 通讯作者: Lyon, Bruce E.

Manipulating badges of status only fools strangers

• DOI: 10.1111/ele.13128
• 发表时间: 2018-10-01
• 期刊: ECOLOGY LETTERS
• 影响因子: 8.8
• 作者: Chaine, Alexis S.;Shizuka, Daizaburo;Lyon, Bruce E.
• 通讯作者: Lyon, Bruce E.

Constructing social networks from automated telemetry data: A worked example using within‐ and across‐group associations in cooperatively breeding birds

从自动遥测数据构建社交网络：在合作繁殖鸟类中使用群体内和群体间关联的有效示例

• DOI: 10.1111/2041-210x.13737
• 发表时间: 2021
• 期刊: Methods in Ecology and Evolution
• 影响因子: 6.6
• 作者: Shizuka, Daizaburo;Barve, Sahas;Johnson, Allison E.;Walters, Eric L.
• 通讯作者: Walters, Eric L.