Network analysis of massively collaborative creation of multimedia contents: case study of hatsune miku videos on nico nico douga

Network analysis of massively collaborative creation of multimedia contents: case study of hatsune miku videos on nico nico douga
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多媒体内容大规模协作创作的网络分析:nico nico douga 上的初音未来视频案例研究

DOI:
10.1145/1453805.1453838
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发表时间:
2008
期刊:
Proceedings of the 9th International Symposium on Open Collaboration
影响因子:
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通讯作者:
Takuichi Nishimura
Takuichi Nishimura
中科院分区:
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文献类型:
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作者:
Masahiro Hamasaki;Hideaki Takeda;Takuichi Nishimura

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万维网支持新型的创意活动。在这项研究中,我们调查了通过网络进行的大规模协作创作,通过这种方式,许多人聚集在一起协作改进他们的作品。 Nico Nico Douga 是一个视频共享网站,许多视频都是协作创建的。我们特别研究了初音未来,这是一个歌唱合成器应用软件版本,它不仅激发了歌曲创作的灵感,还激发了歌曲创作、插图和视频编辑的灵感。如本文所述,不同类型的创建者通过他们的社交网络相互交互以创建新内容。使用标签,我们将 Nico Nico Douga 上的视频和创作者自动分为四个基本类别。因此,我们通过分析视频的描述,根据视频和创作者之间的关系创建了一个社交网络。该社交网络揭示了有趣的特征。不同类别的创作者在网络发展中扮演不同的角色,例如,歌曲作者比其他类别收集更多的链接,这意味着他们是网络发展的触发器。我们还从网络中提取社区并观察不同的社区结构。一种是集中式网络,其中单个歌曲作者是中心,其他人是外围。另一种是比较混乱的网络,其中一些插画家是中心,但中心性很弱。
The World Wide Web supports new styles of creative activities. For this study, we investigate massively collaborative creation via the Web, by which numerous people gather to evolve their works collaboratively. Nico Nico Douga is a video sharing website, where many videos are created collaboratively. We specifically examine Hatsune Miku, a version of singing synthesizer application software that has inspired not only song creation but also songwriting, illustration, and video editing. As described herein, different types of creators interact mutually to create new contents though their social network. Using tags, we classified videos and creators on Nico Nico Douga automatically into four basic categories. Thereby, we produced a social network from relationships among videos and creators by analyzing videos' descriptions. The social network reveals interesting features. Different categories of creators serve different roles in evolving the network, e.g., songwriters gather more links than other categories, implying that they are triggers to network evolution. We also extracted communities from the network and observed different community structures. One is a centralized network in which a single songwriter is central and others are peripheral. The other is a messier network, in which some illustrators are central, but the centrality is weak.