Webometrics and Web Studies
Course code
INT6079.DT
old course code
Course title in Estonian
Veebimeetria ja veebiuuringud
Course title in English
Webometrics and Web Studies
ECTS credits
4.0
Assessment form
assessment
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
- To create preconditions for acquiring knowledge on metric studies and their approaches
- To create prerequisites for obtaining knowledge on the basics of quantitative and qualitative study of the Web
- To create possibilities for obtaining practical skills in using the simple techniques of web metrics and qualitative study
- To create prerequisites for obtaining knowledge on the basics of quantitative and qualitative study of the Web
- To create possibilities for obtaining practical skills in using the simple techniques of web metrics and qualitative study
Brief description of the course
The concepts of metric studies: bibliometrics, informetrics, scientometrics, webometrics, web analytics. Data collection from the web and its tools. The approaches for web metrics: networks and link analysis, web impact assessment, analysing comments and sentiment. Analysing blogs and Twitter. Web texts thick description. The possibilities of studying traditional publications on the web. Webometric Analyst, SocSciBot, Google Trends, Google Analytics and ohter software for web metrics. Qualitative study of the web, digital ethnography.
Learning outcomes in the course
Upon completing the course the student:
- knows the basics and main concepts of metric studies including web metrics;
- knows the main approaches of statistical analysis of the web;
- is aware of the options of qualitative study of the web;
- is able to use the simple techniques of web metrics and qualitative study.
- knows the basics and main concepts of metric studies including web metrics;
- knows the main approaches of statistical analysis of the web;
- is aware of the options of qualitative study of the web;
- is able to use the simple techniques of web metrics and qualitative study.
Teacher
Merle Laurits
Prerequisite course 1
Study programmes containing that course