复杂网络中回路位置的不均匀性
Unevenness of Loop Location in Complex Networks
摘要：
环结构在复杂网络的许多方面都起着重要的作用，引起了人们的广泛关注。在以前的工作中，Bianconi等人发现，与随机模型相比，真实网络通常具有更少的短循环。在本文中，我们专注于不均匀的位置的循环，使网络的一些部分丰富，而另一些部分稀疏的循环。我们提出了一个节点去除过程来分析不均匀性，并发现丰富的环核可以存在于许多实际网络，如神经网络和食物网网络。最后，提出了一个量化复杂网络中环路位置不均匀性的指标。
英文摘要：
The loop structure plays an important role in many aspects of complex networks and attracts much attention. Among the previous works, Bianconi et al find that real networks often have fewer short loops as compared to random models. In this paper, we focus on the uneven location of loops which makes some parts of the network rich while some other parts sparse in loops. We propose a node removing process to analyze the unevenness and find rich loop cores can exist in many real networks such as neural networks and food web networks. Finally, an index is presented to quantify the unevenness of loop location in complex networks.
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。
