COSMOS: Towards an integrated and scalable service for analysing social media on demand
COSMOS: Towards an integrated and scalable service for analysing social media on demand
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DOI：
10.1080/17445760.2014.902057
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发表时间：
2015-01-01
影响因子：
1.1
通讯作者：
Conejero, Javier
中科院分区：
文献类型：
--
作者：
Burnap, Peter;Rana, Omer;Conejero, Javier
越来越多的人使用社交媒体发表他们的观点，分享专业知识，建立社会联系并向国际受众推广他们的想法，正在创造史诗般规模的数据。这使社会科学家能够进行民族志，话语分析和社会互动分析的研究，提供对当今社会的洞察力，这在很大程度上是由社会计算增强。可用于这种分析的工具往往是专有的，价格昂贵，而且往往不能互操作，这意味着通过一系列分析快速整理大型数据集是艰巨的，难以扩展。协作在线社交媒体观测站（COSMOS），一个综合的社交媒体分析工具，在学术界开放访问。COSMOS以可扩展的Hadoop基础设施为基础，可以支持对大型数据集的快速分析以及在有限的人力资源下协调工具之间的工作流。我们描述了一个架构和可扩展性的结果，社会媒体数据的计算分析，并评论与大量的社会媒体数据集的存储，搜索和检索问题。我们还提供了这样一个综合的按需服务在社会科学学术界的影响的见解。
The growing number of people using social media to publish their opinions, share expertise, make social connections and promote their ideas to an international audience is creating data on an epic scale. This enables social scientists to conduct research into ethnography, discourse analysis and analysis of social interactions, providing insight into today's society, which is largely augmented by social computing. The tools available for such analysis are often proprietary and expensive, and often non-interoperable, meaning the rapid marshalling of large data-sets through a range of analyses is arduous and difficult to scale. The collaborative online social media observatory (COSMOS), an integrated social media analysis tool is presented, developed for open access within academia. COSMOS is underpinned by a scalable Hadoop infrastructure and can support the rapid analysis of large data-sets and the orchestration of workflows between tools with limited human effort. We describe an architecture and scalability results for the computational analysis of social media data, and comment on the storage, search and retrieval issues associated with massive social media data-sets. We also provide an insight into the impact of such an integrated on-demand service in the social science academic community.