Sources et données pour l’analyse des réseaux sociaux

M. Bès, G. Favre, C. Lemercier
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Abstract

Sources and data for social network analysis. Social network analysis (SNA) is becoming more and more widespread in several scientific disciplines as a method for processing social, economic, geographic, historical, digital, etc. data. Visualizations of graphs, communities and other ties are multiplying. However, there is a risk that SNA users may lose sight of the conditions under which their data are produced and thereby over-interpret or under-interpret the results. This article provides a guide to the different types of sources of network data, and the pitfalls and choices encountered in the process of producing network data. The first part provides an overview of these pitfalls and choices, and the second part focuses on the specifics of each source of data. Based on the authors’ experience in training network researchers, the article proposes a review of controlled ways of producing network data from this array of sources.
社交媒体分析的来源和数据
社会网络分析的来源和数据。社会网络分析(Social network analysis, SNA)作为一种处理社会、经济、地理、历史、数字等数据的方法,在多个科学学科中得到越来越广泛的应用。图形、社区和其他联系的可视化正在成倍增长。然而,存在一种风险,即SNA用户可能会忽视其数据产生的条件,从而过度解释或低估结果。本文介绍了不同类型的网络数据源,以及在生成网络数据的过程中遇到的陷阱和选择。第一部分概述了这些缺陷和选择,第二部分侧重于每个数据源的细节。根据作者训练网络研究人员的经验,本文提出了从这一系列来源产生网络数据的受控方法的回顾。
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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