Although there has been a lot of investigation into the influence of the network structure of scientific communities on the one hand and into testimonial norms (TNs) on the other, a discussion of TNs that take the network structure into account has been lacking. In this paper, I introduce two TNs which are sensitive to the local network structure. According to these norms, scientists should give less weight to the results of well-connected colleagues, as compared to less connected ones. I employ an Agent Based Model to test the reliability of the two novel TNs against different versions of conventional, structure-insensitive TNs in networks of varying size and structure. The results of the simulations show that the novel TNs are more reliable. This suggests that it would be beneficial for scientific communities if their members followed such norms. For individual scientists, I show that there are both reasons for and reasons against adopting them.

尽管一方面对科学界网络结构的影响进行了大量调查，另一方面对证明规范 (TN) 的影响进行了大量调查，但缺乏对将网络结构考虑在内的 TN 的讨论。在本文中，我介绍了两种对本地网络结构敏感的 TN。根据这些规范，与人脉较弱的同事相比，科学家应该对人脉较广的同事的结果给予较少的重视。我采用基于代理的模型来测试两种新型 TN 与不同版本的传统、结构不敏感 TN 在不同规模和结构的网络中的可靠性。模拟结果表明，新型 TN 更可靠。这表明，如果科学界的成员遵守这些规范，将对科学界有益。