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Towards an Integrated Clickstream Data Analysis Framework for Understanding Web Users’ Information Behavior

Chi, Yu and Jiang, Tingting and He, Daqing and Meng, Rui (2017) Towards an Integrated Clickstream Data Analysis Framework for Understanding Web Users’ Information Behavior. In: iConference 2017, 22 March 2017 - 25 March 2017, Wuhan, China.

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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.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Chi, Yuyuc73@pitt.eduYUC73
Jiang, Tingting
He, Daqingdah44@pitt.eduDAH44
Meng, Ruirum20@pitt.eduRUM20
Date: 22 March 2017
Date Type: Publication
Journal or Publication Title: iConference 2017
Event Title: iConference 2017
Event Dates: 22 March 2017 - 25 March 2017
Event Type: Conference
Schools and Programs: School of Information Sciences > Library and Information Science
Refereed: Yes
Date Deposited: 06 Jun 2017 15:37
Last Modified: 01 Nov 2017 14:01
URI: http://d-scholarship.pitt.edu/id/eprint/32363

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