现在来看看完全不同的东西：设计师在线网络中的视觉新颖性
And Now for Something Completely Different: Visual Novelty in an Online Network of Designers
摘要：
新颖性是创新的关键要素，但量化它很困难。对于像平面设计这样的视觉工作来说尤其如此。使用在专业数字设计师的在线社交网络上共享的设计，我们使用统计学习方法来测量视觉新颖性，以将图像特征与之前创建的图像特征进行比较。然后，我们将社交网络位置与设计师形象的新颖性联系起来。我们发现，在这个专业平台上，拥有密集本地网络的用户往往会产生更新颖但通常不太成功的图像，但有重要的例外。也就是说，用户在嵌入有凝聚力的本地网络时制作新颖的图像更成功。
英文摘要：
Novelty is a key ingredient of innovation but quantifying it is difficult. This is especially true for visual work like graphic design. Using designs shared on an online social network of professional digital designers, we measure visual novelty using statistical learning methods to compare an images features with those of images that have been created before. We then relate social network position to the novelty of the designers images. We find that on this professional platform, users with dense local networks tend to produce more novel but generally less successful images, with important exceptions. Namely, users making novel images while embedded in cohesive local networks are more successful.
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。
