Metropolises in the Twittersphere: An Informetric Investigation of Informational Flows and Networks
Metropolises in the Twittersphere: An Informetric Investigation of Informational Flows and Networks
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Twitter 圈中的大都市：信息流和网络的信息计量调查
DOI：
10.3390/ijgi4041894
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Agnes Mainka
中科院分区：
文献类型：
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作者：
Thorsten Förster;Agnes Mainka
社交媒体平台上的信息流能够显示趋势和用户兴趣，以及用户之间的联系。本文提出了一种基于用户内容分析社交媒体平台Twitter上的城市相关网络的方法。通过Twitter的REST API(应用程序编程接口)和Twitter的流媒体API，已有4000万条推文被下载。调查主要集中在两个方面：首先，根据用户活跃度、共享网站的热度和标签定义的话题，对31个信息化世界城市进行了趋势检测。其次，通过基于不同城市对之间的连接数量创建集群网络，给出了信息城市之间的连接程度的提示。从推文总数来看，东京、纽约、伦敦和巴黎在最活跃城市排行榜上遥遥领先。调查显示，Twitter经常被用来分享Instagram或YouTube等其他服务的内容。推文中最受欢迎的话题揭示了两个城市之间的巨大差异。总而言之，调查表明，像Twitter这样的社交媒体服务也可以成为使用它们的社会的一面镜子，并揭示全球网络中互联城市的信息流。所提出的方法可以应用于进一步的研究，以分析关于特定主题和/或地理位置的信息流。
Information flows on social media platforms are able to show trends and user interests as well as connections between users. In this paper, we present a method how to analyze city related networks on the social media platform Twitter based on the user content. Forty million tweets have been downloaded via Twitter’s REST API (application programming interface) and Twitter’s Streaming API. The investigation focuses on two aspects: firstly, trend detection has been done to analyze 31 informational world cities, according the user activity, popularity of shared websites and topics defined by hashtags. Secondly, a hint of how connected informational cities are to each other is given by creating a clustered network based on the number of connections between different city pairs. Tokyo, New York City, London and Paris clearly lead the ranking of the most active cities if compared by the total number of tweets. The investigation shows that Twitter is very frequently used to share content from other services like Instagram or YouTube. The most popular topics in tweets reveal great differences between the cities. In conclusion, the investigation shows that social media services like Twitter also can be a mirror of the society they are used in and bring to light information flows of connected cities in a global network. The presented method can be applied in further research to analyze information flows regarding specific topics and/or geographical locations.
DOI：
10.4337/9781781001011
发表时间：
2012-02
期刊：
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影响因子：
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作者：
B. Derudder;M. Hoyler;P. Taylor;F. Witlox
通讯作者：
B. Derudder;M. Hoyler;P. Taylor;F. Witlox