The trade-off between the number of friendships and the closeness of friendships of humans arises due to the limitations of time and cognitive capacities for communication. This trade-off distinguishes asynchronous text communication through the internet (lightweight communication) from face-to-face communication and the social grooming of primates (elaborate communication). This study modelled communication as messaging flows driven by edge and node activations to investigate micro-mechanisms that realise the trade-off law and the differences between the two types of communications. We observed the emergence of five patterns of social structures depending on the strengths of the two types of activations, namely, edge and node activations. The two patterns that show known statistics on empirical studies, such as the trade-off and power-law distributions of closeness, emerged around a threshold between elaborate and lightweight communications, where network structures qualitatively changed. A balance between edge and node activations shifts one pattern (elaborate communication) to another pattern (lightweight communication). Consequently, relation networks that communicate through lightweight communication become less clustered. These results suggest how communication systems construct different social structures, e.g., the impact of popularising the internet.

人类友谊的数量和亲密程度之间的权衡是由于时间和沟通认知能力的限制而产生的。这种权衡将通过互联网的异步文本通信（轻量级通信）与面对面的通信和灵长类动物的社交修饰（精心设计的通信）区分开来。本研究将通信建模为由边缘和节点激活驱动的消息流，以研究实现权衡法则的微观机制以及两种通信类型之间的差异。我们观察到五种社会结构模式的出现取决于两种激活类型的强度，即边缘激活和节点激活。显示经验研究的已知统计数据的两种模式，例如接近度的权衡和幂律分布，出现在精细通信和轻量级通信之间的阈值附近，其中网络结构发生了质的变化。边缘和节点激活之间的平衡将一种模式（精细通信）转变为另一种模式（轻量级通信）。因此，通过轻量级通信进行通信的关系网络变得不那么聚集。这些结果表明通信系统如何构建不同的社会结构，例如，普及互联网的影响。因此，通过轻量级通信进行通信的关系网络变得不那么聚集。这些结果表明通信系统如何构建不同的社会结构，例如，普及互联网的影响。因此，通过轻量级通信进行通信的关系网络变得不那么聚集。这些结果表明通信系统如何构建不同的社会结构，例如，普及互联网的影响。