University of Konstanz
Algorithmik
Prof. Dr. Ulrik Brandes

Seminar: Modeling Network Data (Summer 2013)

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Date, time, and location of final presentations have been fixed (see below).

This seminar is concerned with selected topics about network modeling. It is offered mostly for students and doctoral students in computer science, but feasible also for students in other course programs in which empirical network analysis is a relevant topic.

Prerequisites: Basic knowledge about statistical data analysis. Many (but not all) topics require knowledge about statistical models for network data (for instance, from the lecture Network Modeling).

Responsible: Jürgen Lerner

Dates and Times

Coordination Meeting Tue 16 April 2013, 13:30-15:00 h (s.t.) room: E 403 (single date)

Presentations (I) Tue 16 July 2013, 15:15 - 16:45 (s.t.) in Room C 421
Jan-Hendrik Hartig Statistical evaluation of algebraic constraints for social networks
Qaiser Jamal A relational event framework for social action
Deepika Banakar The multilevel p2 model

Presentations (II) Tue 16 July 2013, 17:00 - 18:30 (s.t.) in Room C 422
Yash Nagar A separable model for dynamic networks

Presentations (III) Wed 17 July 2013, 15:15 - 16:45 (s.t.) in Room M 901
Nitin Sharma Statistical analysis of longitudinal network data with changing composition
Parinesh Baitule Discrete temporal models of social networks
Anil Reddy Sama A model for the multiplex dynamics of two-mode and one-mode networks, with an application to employment preference, friendship, and advice

Presentations (IV) Wed 17 July 2013, 17:00 - 18:30 (s.t.) in Room M 901
Zeeshan Ali Balouch Exponential-family random graph models for valued networks
Nikhilesh Patil Statistical inference for valued-edge networks: the generalized exponential random graph model
Dhiraj Eadara Dynamic egocentric models for citation networks

Each topic has 30 minutes (20 minutes presentation + 10 minutes discussion).

Material

Most documents are only locally accessible - see possibilities for remote access.

Links

Further information