网络社区在不同规模的 kaleidoscopic 重组
Wonhee Jeong1, Daekyung Lee2, Heetae Kim3
1Gyeongsang National University, The Research Institute of Natural Science, Jinju 52828, Korea.
Physical review. E
|February 20, 2025
概括
现实网络表现出复杂的社区重组,社区同时分裂和合并. 这挑战了传统的社区检测方法,揭示了依赖规模的结构变化.
科学领域:
- 网络科学 网络科学
- 复杂的系统复杂的系统.
- 数据分析 数据分析
背景情况:
- 结构异质性在现实世界网络中很常见.
- 大多数社区检测算法都假定固定规模的等级结构.
- 这种假设忽略了网络社区的动态性质.
研究的目的:
- 挑战传统对社区规模调整网络的理解.
- 调查社区分裂和合并的复杂过程.
- 突出网络分析中规模依赖的重组的重要性.
主要方法:
- 模块化函数的数学分析.
- 对现实世界网络数据的实证分析.
- 开发一个简单的网络模型.
主要成果:
- 证明社区重组是规模依赖的,涉及同时分裂和合并.
- 随着分辨率参数的变化,确定了社区数量的本地下降.
- 网络分析和建模证实了复杂的重组模式.
结论:
- 这项研究需要在网络社区检测方面进行范式转变.
- 强调需要考虑规模依赖的重组,以准确理解网络结构.
- 由于规模假设的局限性,当前的方法可能会误解真正的网络组织.
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