双边网络中的邻国增强链路预测
Guangtao Cheng1, Chaochao Liu2, Chuting Wei1
1School of Information Engineering, Tianjin University of Commerce, Tianjin 300133, China.
Entropy (Basel, Switzerland)
|June 26, 2025
概括
这项研究引入了一种新的方法,用于双边网络中的链接预测,通过计算节点程度变化来提高准确性. 该框架通过考虑中间节点影响和独特的网络结构来增强预测.
科学领域:
- 网络科学 网络科学
- 数据挖掘 数据挖掘
- 计算社会科学 计算社会科学
背景情况:
- 由于独特的结构约束,双方网络中的链接预测是复杂的.
- 现有的方法经常与异质节点度分布作斗争,导致预测偏差.
- 地方结构方法很受欢迎,但由于不同程度的异质性,它们可能会受到破坏.
研究的目的:
- 为双边网络开发一个新的链接预测框架.
- 为了解决和减轻异质节点程度造成的偏差.
- 提高复杂网络中链接预测的准确性和稳定性.
主要方法:
- 提出了一个框架,以调整中间节点的异质度.
- 在本地连接模式中,中间节点的内置影响.
- 利用四边形图来区分节点角色和捕获网络属性.
主要成果:
- 该框架有效地减轻双边网络中的程度偏差.
- 在链接预测准确度方面取得了显著的改进.
- 在十个多元化的双边网络中实现了竞争力和强的表现.
结论:
- 新的框架在双边网络链接预测方面取得了重大进展.
- 明确地解决不同程度的异质性对于准确的链接预测至关重要.
- 该方法显示了现实世界应用的巨大潜力,涉及复杂的网络分析.
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