The project workshop is held on Mon 19 Oct 2020 at 13:00-15:45 online at https://aalto.zoom.us/j/62744925604
DescriptionThe project work will focus on a subject chosen by the student, among a list of themes proposed by the teachers.
This is a reading exercise where a group of 1-2 students reads a selected research article related to the course theme. Based on the article, the group writes an essay of 3-4 pages and prepares a 15-20 min presentation where the following four key points will be discussed:
- Objective: What is the goal of the research?
- Motivation: Why is the research worth carrying out?
- Results: What are the main results obtained?
- Evaluation: What is your own estimate of the usefulness of the results?
- Tue 6 Oct 2020 12:00. You should email to the lecturer a copy of the article that you propose to read.
- Mon 19 Oct 2020 13:00-16.00. Project workshop (online via Zoom) where presentations are given. You should email your written essay as pdf attachment to the lecturer.
Presenter(s) Author(s) Title William Schaub, Segarra, Tsitsiklis 2020 Blind identification of stochastic block models from dynamical observations Julia & Meike De Benedictis, Leoni 2020 Gender bias in the Erasmus network of universities Jakob Bonato et al. 2020 The iterated local directed transitivity model for social networks Elmer Bonato, Meger 2020 Iterated global models for complex networks Kalle & Rustam Young, Cantwell, Newman 2020 Robust Bayesian inference of network structure from unreliable data Kimmo Torres et al. 2020
Node immunization with non-backtracking eigenvalues
Tuomas Kaminski, Pralat, Thebergé 2020 A scalable unsupervised framework for comparing graph embeddings Teemu & Ville Romanini, Lehmann, Kivelä 2020 Privacy and uniqueness of neighborhoods in social networks Miikka Antelmi et al. 2020 Information diffusion in complex networks: A model based on hypergraphs and Its analysis Trang & Roope
One-pass graphic approximation of integer sequences
Huy Richter et al. 2020 Introducing a general class of species diversification models for phylogenetic trees