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Title:Towards an integrated clickstream data analysis framework for understanding web users' information behavior
Author(s):Chi, Yu; Jiang, Tingting; He, Daqing; Meng, Rui
Subject(s):Clickstream data
Analysis framework
User information behavior
Abstract:Clickstream data offers an unobtrusive data source for understanding web users’ information behavior beyond searching. However, it remains underutilized due to the lack of structured analysis procedures. This paper provides an integrated framework for information scientists to employ in their exploitation of clickstream data, which could contribute to more comprehensive research on users’information behavior. Our proposed framework consists of two major components, i.e., data preparation and data investigation. Data preparation is the process of collecting, cleaning, parsing, and coding data, whereas data investigation includes examining data at three different granularity levels, namely, footprint, movement, and pathway. To clearly present our data analysis process with the analysis framework, we draw examples from an empirical analysis of clickstream data of OPAC users’ behavior. Overall, this integrated analysis framework is designed to be independent of any specific research settings so that it can be easily adopted by future researchers for their own clickstream datasets and research questions.
Issue Date:2017
Publisher:iSchools
Citation Info:Chi, Y., Jiang, T., He, D., & Meng, R. (2017). Towards an Integrated Clickstream Data Analysis Framework for Understanding Web Users’ Information Behavior. In iConference 2017 Proceedings (pp. 279–292). https://doi.org/10.9776/17027
Series/Report:iConference 2017 Proceedings
Genre:Conference Paper/Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/96679
DOI:https://doi.org/10.9776/17027
Rights Information:Copyright 2017 Yu Chi, Tingting Jiang, Daqing He, and Rui Meng
Date Available in IDEALS:2017-07-27


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