自组织地图与社交网络：网络社交流行度的展开
Self-Organizing Map and social networks: Unfolding online social popularity
摘要：
本研究使用Kohonen自组织图（SOM）来表示的流行模式的Myspace音乐艺术家从他们的属性在平台上，他们在社会网络中的位置。该方法适用于聚类的配置文件（社会网络的节点）和最佳的友谊链接（边）。这表明，SOM是一个有效的工具来解释观众和音乐家的影响力之间的复杂联系。最后给出了一个在线社交网络行为的鲁棒分类器。
英文摘要：
The present study uses the Kohonen self organizing map (SOM) to represent the popularity patterns of Myspace music artists from their attributes on the platform and their position in the social network. The method is applied to cluster the profiles (the nodes of the social network) and the best friendship links (the edges). It shows that the SOM is an efficient tool to interpret the complex links between the audience and the influence of the musicians. It finally provides a robust classifier of the online social network behaviors.
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。
