基于15世纪意大利战争的社区发现和社会网络分析
Community detection and Social Network analysis based on the Italian wars of the 15th century
摘要：
在这方面的贡献，我们研究社会网络建模使用人类的互动为基础。为此，我们提出了一组新的功能，亲和力，旨在捕捉网络中的每对演员之间的局部相互作用的性质。通过使用这些功能，我们开发了一个新的社区发现算法，波吉亚聚类，社区自然产生的多代理网络中的相互作用。我们还讨论了社区的规模和规模对这种情况的影响，以及我们如何应对大社区出现时出现的额外复杂性。最后，我们比较了我们的社区发现解决方案与其他代表性的算法，发现有利的结果。
英文摘要：
In this contribution we study social network modelling by using human interaction as a basis. To do so, we propose a new set of functions, affinities, designed to capture the nature of the local interactions among each pair of actors in a network. By using these functions, we develop a new community detection algorithm, the Borgia Clustering, where communities naturally arise from the multi-agent interaction in the network. We also discuss the effects of size and scale for communities regarding this case, as well as how we cope with the additional complexity present when big communities arise. Finally, we compare our community detection solution with other representative algorithms, finding favourable results.
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。
