Analyzing User Activities, Demographics, Social Network Structure and User-Generated Content on Instagram
Analyzing User Activities, Demographics, Social Network Structure and User-Generated Content on Instagram
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发表时间：
2014-10
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通讯作者：
L. Manikonda;Yuheng Hu;S. Kambhampati
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作者：
L. Manikonda;Yuheng Hu;S. Kambhampati
Instagram是一种相对较新的交流形式，用户可以通过拍照并使用滤镜调整来即时分享他们的当前状态。自2010年10月推出以来，它的用户数量和上传量都在快速增长。尽管它是最受欢迎的照片分享应用程序，但它吸引了网络和社交媒体研究社区的相对较少的关注。在本文中，我们提出了一个大规模的定量分析，数以百万计的用户和图片，我们爬了超过1个月从Instagram。我们的分析揭示了Instagram的一些见解，这些见解以前从未被研究过：1）它的社交网络属性与其他流行的社交媒体（如Twitter和Flickr）完全不同，2）人们通常每周发布一次，3）人们喜欢与朋友分享他们的位置。据我们所知，这是第一次对Instagram上的用户活动、人口统计、社交网络结构和用户生成内容进行深入分析。
Instagram is a relatively new form of communication where users can instantly share their current status by taking pictures and tweaking them using filters. It has seen a rapid growth in the number of users as well as uploads since it was launched in October 2010. Inspite of the fact that it is the most popular photo sharing application, it has attracted relatively less attention from the web and social media research community. In this paper, we present a large-scale quantitative analysis on millions of users and pictures we crawled over 1 month from Instagram. Our analysis reveals several insights on Instagram which were never studied before: 1) its social network properties are quite different from other popular social media like Twitter and Flickr, 2) people typically post once a week, and 3) people like to share their locations with friends. To the best of our knowledge, this is the first in-depth analysis of user activities, demographics, social network structure and user-generated content on Instagram.