MS-E1603 - Random Graphs and Network Statistics D, 07.09.2020-15.10.2020

Topic outline

• Project
  The project workshop is held on Mon 19 Oct 2020 at 13:00-15:45 online at https://aalto.zoom.us/j/62744925604

  Description

  The 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:

  1. Objective: What is the goal of the research?
  2. Motivation: Why is the research worth carrying out?
  3. Results: What are the main results obtained?
  4. Evaluation: What is your own estimate of the usefulness of the results?

  
  

  Important dates

  • 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.

  If you cannot attend the project workshop and give a presentation, you can compensate this by writing a longer essay of 6-8 pages.
  

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    Project description and recommended papers File

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  • Project topics

    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	Cloteaux 2017	One-pass graphic approximation of integer sequences
    Huy	Richter et al. 2020	Introducing a general class of species diversification models for phylogenetic trees