Social Media Mining (Wintersemester 2016/2017)

Lecturer: Prof. Dr. Christoph Meinel (Internet-Technologien und -Systeme) , M.Sc. Philipp Berger (Internet-Technologien und -Systeme) , Patrick Hennig (Internet-Technologien und -Systeme)

General Information

• Weekly Hours: 4
• Credits: 6
• Graded: yes
• Enrolment Deadline: 28.10.2016
• Teaching Form: SP
• Enrolment Type: Compulsory Elective Module

Programs, Module Groups & Modules

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 BlogIntelligence

In 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.

 Please find the topic presentation here: https://goo.gl/QjOkdD

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-1.1

First meetings:

25.10.2016 - Topic Presentation

1.11.2016 - Topic Assignment

Zurück