Truthy: enabling the study of online social networks
Truthy: enabling the study of online social networks
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真相：促进在线社交网络的研究
DOI：
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发表时间：
2012
期刊：
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通讯作者：
F. Menczer
中科院分区：
文献类型：
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作者：
K. McKelvey;F. Menczer
在线社交网络平台的广泛采用使得以前所未有的规模研究通信网络成为可能。数字跟踪数据可以汇编成在线话语的大型数据集。然而，收集、存储、过滤和分析大量数据是一个挑战，即使是计算科学专家也是如此。在这里，我们描述了我们最近对Truthy的扩展，Truthy是一个收集Twitter数据以近实时分析话语的系统。我们介绍了几种交互式可视化和分析工具，使公民，记者和研究人员能够在多个尺度上理解和研究在线社交网络。
The broad adoption of online social networking platforms has made it possible to study communication networks at an unprecedented scale. Digital trace data can be compiled into large data sets of online discourse. However, it is a challenge to collect, store, filter, and analyze large amounts of data, even by experts in the computational sciences. Here we describe our recent extensions to Truthy, a system that collects Twitter data to analyze discourse in near real-time. We introduce several interactive visualizations and analytical tools with the goal of enabling citizens, journalists, and researchers to understand and study online social networks at multiple scales.