MuSeNet:音乐艺术家行业的自然模式

Gabriel Barina, Alexandru Topîrceanu, M. Udrescu
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引用次数: 3

摘要

在社交网络不断增长的兴趣和现实世界的适用性的激励下,我们建模和分析了由世界各地的音乐艺术家组成的网络,我们称之为MuSeNet。受演员网络中类似的里程碑式方法的启发,我们将分析结果与通用的Facebook友谊模型和好莱坞演员的IMDB网络进行了比较。我们是第一个创建这样一个网络的人,通过使用中心性测量,我们发现MuSeNet中最具影响力的节点——音乐界的凯文·培根——是声乐艺术家和制作人戴夫·格罗尔。鉴于当前社交网络的发展,我们还强调了音乐制作人在精英管理与拓扑定位方面的重要性。最后,我们表明,与其他经验网络相比,MuSeNet具有特征社交性-本文介绍的一种测量方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MuSeNet: Natural patterns in the music artists industry
Motivated by the constantly growing interest and real-world applicability shown in social networks, we model and analyze the network formed by music artists all around the world, which we call MuSeNet. Inspired by a similar landmark approach in actors' network, we compare our analytical results with the generic Facebook friendship model and with the IMDB network of Hollywood actors. We are the first to create such a network, and by using centrality measures we discover that the most influential node in MuSeNet - the Kevin Bacon of music - is the vocal artist and producer Dave Grohl. In light of current advances in social networks, we also highlight the importance of music producers in terms of meritocracy versus topological positioning. Finally, we show that MuSeNet has a characteristic sociability - a measure which is introduced in this paper - in comparison with other empirical networks.
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