02805 Social graphs and interactions
|Sociale grafer og interaktioner|
Point( ECTS )
Taught under single-course student
|General competence course, MSc. Eng., Digital Media Engineering|
General competence course, MSc. Eng., Telecommunication
Technological specialization course, MSc. Eng., Telecommunication
|E5 (Wed 8-17)
Scope and form:
|Lectures and group work with projects.|
Duration of Course:
Type of assessment:
|02821 and 02815|
Not applicable together with:
General course objectives:
The overall objective of the course is to make students familiar
with Web 2.0 (e.g. access and analyze user generated data and text)
as well as analyze and model social relations using network
A student who has met the objectives of the course will be able to:
- Explore web APIs for data collection.
- Apply a high level programming language (e.g. Python) to
utilize such APIs for data acquisition.
- Apply natural language processing to represent statistical
structures in text and analyze the content.
- Apply and discuss the main strategies for detecting sentiment
in media (e.g. text, music, images, etc).
- Apply standard algorithms to recommend media (text, audio,
video) according to user preferences and user context (friends,
mood, location, etc).
- Assess basic metrics for complex networks, and model social
relations based on network analysis.
- Implement software for detecting communities in social networks
and analyze the communities using network metrics
- Quantify relations in social networks to analyze their
dynamics, using measures from complex network
The course is based on analyzing data from online social networks
(e.g. Twitter and Facebook), as well as working with quantitative
text analysis. The course is structured around short lectures
combined with exercises, as well as a high degree of independent
It is recommended to bring your own laptop computer to carry out
exercises in the course.
Green challenge participation:
Please contact the teacher for information on whether this course
gives the student the opportunity to prepare a project that may
participate in DTU´s Study Conference on sustainability, climate
technology, and the environment (GRØN DYST). More infor
01 Department of Applied Mathematics and Computer Science|
Registration Sign up:
Last updated: 01. maj, 2015