2009•Unpublished venueRequires access

Differences in Google Analytics between Web 1.0 and Web 2.0: A case study

Jui-Hao Sun

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Abstract

This thesis is designed to study the field of Google Analytics and apply it to real-world projects—the official website of Texas Woman's University and MatrixZK. The science of Google Analytics includes storing and analyzing users' information for a specific web site. Google Analytics works completely with the official website of TWU (Web 1.0). For studying Web 2.0, the author designed and programmed MatrixZK; however, the contents category did not observe useful data. After several testing, the author added functions of Google Analytics API to MatrixZK in order to monitor visitors' actions in the Web 2.0 website.

About this research paper

What this paper is about

This thesis is designed to study the field of Google Analytics and apply it to real-world projects—the official website of Texas Woman's University and MatrixZK. The science of Google Analytics includes storing and analyzing users' information for a specific web site. Google Analytics works completely with the official website of TWU (Web 1.0). For studying Web 2.0, the author designed and programmed MatrixZK; however, the contents category did not observe useful data. After several testing, the author added functions of Google Analytics API to MatrixZK in order to monitor visitors' actions in the Web 2.0 website.

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Available abstract

This thesis is designed to study the field of Google Analytics and apply it to real-world projects—the official website of Texas Woman's University and MatrixZK. The science of Google Analytics includes storing and analyzing users' information for a specific web site. Google Analytics works completely with the official website of TWU (Web 1.0). For studying Web 2.0, the author designed and programmed MatrixZK; however, the contents category did not observe useful data. After several testing, the author added functions of Google Analytics API to MatrixZK in order to monitor visitors' actions in the Web 2.0 website.

Key concepts: Web analytics, Analytics, World Wide Web, Computer science, Field (mathematics), Web intelligence, Semantic analytics, Order (exchange)

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