Social Media Mining (Wintersemester 2014/2015)
Lecturer:
Prof. Dr. Christoph Meinel
(Internet-Technologien und -Systeme)
General Information
- Weekly Hours: 4
- Credits: 6
- Graded:
yes
- Enrolment Deadline: 24.10.2014
- Teaching Form: SP
- Enrolment Type: Compulsory Elective Module
- Maximum number of participants: 10
Programs, Module Groups & Modules
- Internet & Security Technology
- Operating Systems & Information Systems Technology
- IT-Systems Engineering A
- IT-Systems Engineering B
- IT-Systems Engineering C
- IT-Systems Engineering D
- IT-Systems Engineering Analyse
Description
With a wide circulation of 180 million weblogs worldwide, weblogs with good reason are one of the killer applications of the worldwide web. It was already shown on several occasions that it can be highly meaningful for individuals, institutions or even governments to find ways and measures to extract information out of the blogosphere.
However, it is increasingly difficult - if not impossible - for the average internet user and weblog enthusiast to grasp the blogosphere’s complexity as a whole, due to thousands of new weblogs and an almost uncountable number of new posts adding up to the before-mentioned collective on a daily basis.
Therefore, mining, analyzing, modeling and presenting this immense data collection is of central interest. This could enable the user to detect technical trends, political atmospheric pictures or news articles about a specific topic.
More information about BlogIntelligenceIn this seminar, we focus on understanding social media streams like the blogosphere. To reveal potential relationships or visualize the dynamics of social media, various data mining technologies will be used within the selected topics in this seminar.
Link to Topic Presentation
Requirements
Good knowledge in
- Operating Systems and Software Engineering
- Internet Basics
- Basics in Data Mining
Literature
Checkout our Papers:
- 2010, Bross, Justus and Quasthoff, Matthias and Berger, Philipp and Hennig, Patrick and Meinel, Christoph
Mapping the blogosphere with rss-feeds - 2010, Bross, Justus and Berger, P and Hennig, P and Meinel, Christoph
RSS-Crawler enhancement for blogosphere-mapping - 2011, Berger, Philipp and Hennig, Patrick and Bross, Justus and Meinel, Christoph
Mapping the Blogosphere--Towards a universal and scalable Blog-Crawler - 2013, Hennig, Patrick and Berger, Philipp and Meinel, Christoph
Identify emergent trends based on the blogosphere - Hennig, Patrick and Berger, Philipp and Godde, Christian and Hoffmann, Daniel and Meinel, Christoph
A Fuzzy, Incremental, Hierachical Approach of Clustering Huge Collections of Web Documents - 2013, Berger, Philipp and Hennig, Patrick and Klingbeil, Thomas and Kohnen, Matthias and Pade, Steffen and Meinel, Christoph
Mining the Boundaries of Social Networks: Crawling Facebook and Twitter for BlogIntelligence - 2013, Hennig, Patrick and Berger, Philipp and Meinel, Christoph and Graber, Maria and Hildebrandt, Jens and Lehmann, Stefan and Ramson, Cathleen
Tracking Visitor Engagement in the Blogosphere for Leveraging Rankings - 2013, Hennig, Patrick and Berger, Philipp and Meinel, Christoph
Web Mining Accelerated with In-Memory and Column Store Technology - 2013, Berger, Philipp and Hennig, Patrick and Meinel, Christoph
Identifying Domain Experts in the Blogosphere--Ranking Blogs Based on Topic Consistency - 2014, Berger, Philipp and Hennig, Patrick and Detje, Stephan
BlogSphere-A Topical Map of the Blogosphere
Examination
The final evaluation will be based on:
- Initial implementation / idea presentation, 15%
- Final presentation, 25%
- Report, 12-18p LNCS, 30%
- Implementation, 15%
- Integration, 15%
- Participation in the seminar, paper review (bonus points)
Dates
Tuesdays, 9.15-10:45. Room A-2.2
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