在制度页面和档案中测量布尔迪厄社会资本的新方法

Alan Keller Gomes, K. M. R. Cunha, Guilherme Augusto da Silva Ferreira
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引用次数: 0

摘要

我们在本文中提出了一种在机构页面和概况中测量布尔迪厄社会资本(BSC)的新方法。我们分析了Facebook的机构页面和Twitter的机构概况。在Pierre Bourdie理论的支持下,我们寻找方向来识别和捕获与社交实践相关的数据,即像Like, Comment和Share这样的行为。皮埃尔·布迪厄(Pierre Bourdieu)处理的符号交换和互认系统以广义顺序模式的形式从这些数据中自动表示和提取。在这种格式中,从每个页面捕获的社会交互被表示为一系列动作。接下来,我们还使用这些数据来测量每个序列的出现频率。根据这些频率,我们计算出有效动员能力。最后,根据有效动员的能力、捕获的社会互动数量和每个页面的关注者数量来计算平衡记分卡的数量。结果与布迪厄的理论一致。这种方法可以推广到在线社交网络中的机构页面或个人资料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Approach to the Measurement of Bourdieusian Social Capital within Institutional Pages and Profiles
We present in this paper a novel approach for measuring Bourdieusian Social Capital (BSC) within  Institutional Pages and Profiles. We analyse Facebook's Institutional Pages and Twitter's Institutional Profiles. Supported by Pierre Bourdie's theory, we search for directions to identify and capture data related to sociability practices, i. e. actions performed such as Like, Comment and Share. The system of symbolic exchanges and mutual recognition treated by Pierre Bourdieu is represented and extracted automatically from these data in the form of generalized sequential patterns. In this format, the social interactions captured from each page are represented as sequences of actions. Next, we also use such data to measure the frequency of occurrence of each sequence. From such frequencies, we compute the effective mobilization capacity. Finally, the volume of BSC is computed based on the capacity of effective mobilization, the number of social interactions captured and the number of followers on each page. The results are aligned with Bourdieu's theory. The approach can be generalized to institutional pages or profiles in Online Social Networks.
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