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Updated: Jan 7, 2026

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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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在群体内和跨群体的同性恋.
Abbas K Rizi1,2,3, Riccardo Michielan4,5, Clara Stegehuis4
1DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark. akari@dtu.dk.
Nature communications
|December 13, 2025
概括
同性恋,即与相似的他人联系的倾向,现在在所有网络尺度上都是模拟的. 这一新框架揭示了特定群体的同类关系如何影响网络动态,如流行病传播和信息传播.
科学领域:
- 网络科学 网络科学
- 社会学 社会学 社会学
- 计算社会科学 计算社会科学
背景情况:
- 同性恋显著影响网络结构和功能.
- 当前的模型过度简化了同型性,只考虑一个尺度,忽视了它的多尺度性质.
研究的目的:
- 引入一种新的最大率随机图模型,以捕捉所有社会尺度上的同类关系.
- 将同类关系分解为集团内部和跨集团贡献.
- 分析群体依赖同类关系对网络动态的影响.
主要方法:
- 开发了一个最大率随机图形模型.
- 在各种尺度上,包含了针对特定群体同性恋的参数.
- 将同类性分解为组内和跨组组分.
- 恢复了随机区块模型作为一个特殊案例.
主要成果:
- 该模型捕捉了所有网络规模的同类性,与以前的方法不同.
- 它将同性恋分解为内部和跨集团的贡献.
- 群体依赖的同类性显著改变了网络透值.
结论:
- 网络同类性在不同的群体大小和规模之间有很大差异.
- 这种异质性对流行病传播,信息传播和干预效果的预测产生了重大影响.
- 忽视多层次的同类性导致对复杂系统连接和动态的错误判断.
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