由个人在社会中的地位驱动的社区形成模型
Modelling community formation driven by the status of individual in a society
摘要：
在人类社会中，人们愿意竞争和争取更好的社会地位，以及嫉妒那些被认为在某种程度上优越的人，导致社会结构本质上是等级制的。在这里，我们提出了一个基于代理的网络模型来模仿个人的排名行为及其在人类社会中可能产生的影响。该模型的主要成分是假设社会互动的相关特征是每个人的意愿，以最大限度地提高他或她的地位相对于他人。由该模型产生的社交网络是同性恋和排斥性的，正如在人类社区中经常观察到的那样，大多数网络属性似乎与其大小无关。然而，可以看出，对于少量的代理，由此产生的网络由不相交的弱连接社区组成，同时具有高度的互补性和同性恋性。另一方面，更大的网络与更大的社区更有凝聚力，但不那么同性恋。我们发现，这些变化的原因是，更大的网络规模允许代理使用新的策略，以最大限度地提高他们的社会地位，允许他们之间的联系更加多样化。
英文摘要：
In human societies, people's willingness to compete and strive for better social status as well as being envious of those perceived in some way superior lead to social structures that are intrinsically hierarchical. Here we propose an agent-based, network model to mimic the ranking behaviour of individuals and its possible repercussions in human society. The main ingredient of the model is the assumption that the relevant feature of social interactions is each individual's keenness to maximise his or her status relative to others. The social networks produced by the model are homophilous and assortative, as frequently observed in human communities and most of the network properties seem quite independent of its size. However, it is seen that for small number of agents the resulting network consists of disjoint weakly connected communities while being highly assortative and homophilic. On the other hand larger networks turn out to be more cohesive with larger communities but less homophilic. We find that the reason for these changes is that larger network size allows agents to use new strategies for maximizing their social status allowing for more diverse links between them.
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。
