Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Social Network Analysis in Practice

  • Advisors: Dr. Ralf Krestel, Tim Repke
  • Wednesdays 9 c.t. in F-2.10 on Campus II, see single room changes below
  • Language: German or English
  • 6 ECTS, 2 SWS

Course Description

In this seminar, students will study various aspects of Social Network Analysis. In the first phase, each student will present one aspect of a general overview. In the second phase, students will form small groups and implement their own idea (or pcik one from a selection of ideas). Students will put their proposals into practice using real world social network data in the form of corporate emails. Therefore, we will provide a pre-processed Version of the Enron corpus. It is encouraged to incorporate related work from research on Social Network Analysis and Text Mining and reproduce findings using our corpus.

Results from these projects can be very interesting for journalists or auditors, who have to dig through huge datasets to find interesting facts or uncover inherent structures manually.

A list of project ideas will be presented in our introduction meeting (see schedule).
 

Learning Objectives

  • Overview of Topics in Social Network Analysis
  • Deep understanding of one aspect
  • Work with heterogeneous data
  • How to find and reproduce research papers
  • How to write a research abstract (2-page paper)

Grading

The grade will consist of

  • „Introduction to SNA“ presentation (30%)
  • Project (70%)

References

  • see introduction slides
  • Due to technical issues, supplemental material is currently not available. The admins are working to fix this issue.
  • Available physical copies of books

    • Social Network Analysis by Yang, Keller, Zheng
    • Analyzing Social Networks by Borgatti, Everett, Johnson
    • Social Network Analysis: Methods and Applications by Wassermann, Faust
    • Encyclopedia of Social Network Analysis and Mining by Alhajj, Rokne (all three volumes)

Schedule

Date Topic
17.10.2018
(Mi, 9 Uhr c.t.)
Lecture
Introduction (slides)
24.10.2018  
31.10.2018 - Reformationstag -
07.11.2018  
14.11.2018 Presentations (!! Room F-2.10 !!)
Introduction to Social Network Analysis (2 talks on data and metrics)
21.11.2018
F-2.11
Presentations
Introduction to Social Network Analysis (2 talks on metrics and advanced methods)
28.11.2018 Presentations
Introduction to Social Network Analysis (3 talks on visualisation and diffusion)
05.12.2018 Lecture
Enron Dataset, practical tips working with network data
12.12.2018  
19.12.2018 Presentations
Findings of Data Exploration
26.12.2018 - Christmas Break -
02.01.2019 - Christmas Break -
09.01.2019

Groups work on projects
weekly meetings with each group

16.01.2019
23.01.2019
30.01.2019
06.02.2019 Presentations
Final Project Result
13.02.2019  
20.02.2019  
27.02.2019 Paper Submission Deadline
06.03.2019 Peer Review
13.03.2019  
20.03.2019 "Camera Ready Version" of Paper
27.03.2019  

All information may be subject to change.