网络浏览数据分析:指南

IF 3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Social Science Computer Review Pub Date : 2024-02-08 DOI:10.1177/08944393241227868
Bernhard Clemm von Hohenberg, Sebastian Stier, Ana S. Cardenal, Andrew M. Guess, Ericka Menchen-Trevino, Magdalena Wojcieszak
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引用次数: 0

摘要

个人层面的浏览数据,即个人通过台式机或移动浏览器访问在线内容的记录,对于社会科学家来说越来越重要。浏览数据的特点给统计分析带来了许多问题,但迄今为止,关于如何处理这些数据的实践指导还很少。我们回顾了现有的研究,并探索了我们的四个研究团队跨越七个国家、历时数年收集的数据集,这些数据集包含超过 14,000 名参与者和 3.6 亿次网络访问,我们按照以下四个步骤提出了建议:预处理原始数据;过滤观察结果;对网络访问进行分类;以及建立浏览行为模型。我们提出的建议旨在促进该领域的最佳实践,因为到目前为止,该领域还很少关注研究人员在分析网络浏览数据时需要做出的许多决定的合理性。
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Analysis of Web Browsing Data: A Guide
The use of individual-level browsing data, that is, the records of a person’s visits to online content through a desktop or mobile browser, is of increasing importance for social scientists. Browsing data have characteristics that raise many questions for statistical analysis, yet to date, little hands-on guidance on how to handle them exists. Reviewing extant research, and exploring data sets collected by our four research teams spanning seven countries and several years, with over 14,000 participants and 360 million web visits, we derive recommendations along four steps: preprocessing the raw data; filtering out observations; classifying web visits; and modelling browsing behavior. The recommendations we formulate aim to foster best practices in the field, which so far has paid little attention to justifying the many decisions researchers need to take when analyzing web browsing data.
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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