Charting collections of connections in social media: creating visualizations with NodeXL

Cody Dunne
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引用次数: 4

Abstract

Networks are a data structure common found across all social media services that allow populations to author collections of connections. Analyzing these networks involves understanding the complex relationships between individuals, as well as any attributes, statistics, or groupings associated with them. The Social Media Research Foundation's NodeXL project makes network analysis accessible to most users of the Excel spreadsheet application. With NodeXL, network visualizations become as easy to create as pie charts. Applying the tool to a range of social media networks has already revealed the variations present in online social spaces. A NodeXL tutorial and visualizations of various networks will be presented, along with new techniques for text analysis and simplifying your network visualizations.
绘制社交媒体中连接集合的图表:使用NodeXL创建可视化
网络是所有社交媒体服务中常见的一种数据结构,它允许人们创建连接集合。分析这些网络需要理解个体之间的复杂关系,以及与之相关的任何属性、统计数据或分组。社交媒体研究基金会的NodeXL项目使大多数Excel电子表格应用程序用户都可以访问网络分析。使用NodeXL,网络可视化变得像饼图一样容易创建。将该工具应用于一系列社交媒体网络已经揭示了在线社交空间中存在的变化。将提供一个NodeXL教程和各种网络的可视化,以及用于文本分析和简化网络可视化的新技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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