复杂网络的随机游动识别
Identifying Complex Networks by Random Walks
摘要：
的可能性，以确定复杂网络的性质（如随机或无标度），同时执行各自的随机游走的研究相对于自主代理的基础上贝叶斯决策理论和人类通过图形交互式界面导航。结果表明，在大多数情况下，网络的类型（随机和无标度模型之间的选择）可以正确估计。
英文摘要：
The possibility to identify the nature (e.g. random or scale free) of complex networks while performing respective random walks is investigated with respect to autonomous agents based on Bayesian decision theory and humans navigating through a graphic-interactive interface. The results indicate that the type of the network (choice between random and scale free models) can be correctly estimated in most cases.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
