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論文資訊
- 類型:已發表論文
- 日期:2022-02-01
摘要
The remarkable robustness of many 社會 systems has been associated with a peculiar triangular structure in the underlying 社會 網絡s. Triples of people that have three positive relations (e.g., friendship) between each other are strongly overrepresented. Triples with two negative relations (e.g., enmity) and one positive relation are also overrepresented, and triples with one or three negative relations are drastically suppressed. For almost a century, the mechanism behind these very specific ("balanced") triad statistics remained elusive. Here, we propose a simple realistic adaptive 網絡 model, where 智能體s tend to minimize 社會 tension that arises from dyadic interactions. Both opinions of 智能體s and their signed links (positive or negative relations) are updated in the dynamics. The key aspect of the
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