音乐艺术家职业轨迹的挖掘与预测
Mining and Forecasting Career Trajectories of Music Artists
摘要：
许多音乐家，从后起之秀到知名艺术家，都严重依赖现场表演来推广和传播他们的音乐。为了宣传现场演出，艺术家们经常使用音乐会发现平台，让他们的粉丝更容易跟踪巡演日期。在本文中，我们询问在这些平台上生成的现场表演的数字痕迹是否可以用来了解艺术家的职业轨迹。首先，我们通过交叉引用这些平台的数据构建了一个新的数据集。然后，我们演示了如何使用该数据集来挖掘和预测音乐家的重要职业里程碑，例如与主要音乐品牌签约，或在某个场地表演。最后，我们进行了时间分析的二分艺术家的场地图，并证明，在这个图上的高中心性与成功。
英文摘要：
Many musicians, from up-and-comers to established artists, rely heavily on performing live to promote and disseminate their music. To advertise live shows, artists often use concert discovery platforms that make it easier for their fans to track tour dates. In this paper, we ask whether digital traces of live performances generated on those platforms can be used to understand career trajectories of artists. First, we present a new dataset we constructed by cross-referencing data from such platforms. We then demonstrate how this dataset can be used to mine and predict important career milestones for the musicians, such as signing by a major music label, or performing at a certain venue. Finally, we perform a temporal analysis of the bipartite artist-venue graph, and demonstrate that high centrality on this graph is correlated with success.
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。
