---
title: "Log-Log Legends · DTU 02805 Social Graphs"
description: "Log-Log Legends: one interactive post per week of DTU 02805 Social Graphs and Interactions, by Àngela, Gyula and Niklas. Marvel networks, migration corridors, H-1B hiring, and what the words on Marvel's Wikipedia pages give away."
url: https://horrrt.github.io/02805_social_graphs/
---

# Take a network apart, one week at a time

Eight course weeks. Four on network structure, four on language.

We are three students taking DTU’s Social Graphs and Interactions. Each week the course teaches a new way to read a network: degree distributions, null models, centrality and communities, then natural language processing. We take that week’s method, point it at one question about real data, and publish the answer as an interactive post. You try the method yourself, see what it shows, and open the evidence and our code when you want more. No background in network science needed.

[Read the latest post →](https://horrrt.github.io/02805_social_graphs/weeks/week06/)

The course so far

1.  [W1Networks](https://horrrt.github.io/02805_social_graphs/weeks/week01/)
2.  [W2Models & null models](https://horrrt.github.io/02805_social_graphs/weeks/week02/)
3.  [W3Who matters, and why](https://horrrt.github.io/02805_social_graphs/weeks/week03/)
4.  [W4Communities & backbones](https://horrrt.github.io/02805_social_graphs/weeks/week04/)
5.  [W5Counting words](https://horrrt.github.io/02805_social_graphs/weeks/week05/)
6.  [W6What words mean](https://horrrt.github.io/02805_social_graphs/weeks/week06/)
7.  W7NLP III
8.  W8Networks × language

## Weekly posts

1.  [Week 1 · Networks
    
    ### Hero Packs
    
    Why do you keep drawing the same heroes?
    
    Read the post →](https://horrrt.github.io/02805_social_graphs/weeks/week01/)
2.  [Week 2 · Models & null models
    
    ### Transit Authority
    
    Which connections can the network live without?
    
    Read the post →](https://horrrt.github.io/02805_social_graphs/weeks/week02/)
3.  [Week 3 · Who matters, and why
    
    ### Corridor Control
    
    Two networks, one world. Which country is the bridge?
    
    Read the post →](https://horrrt.github.io/02805_social_graphs/weeks/week03/)
4.  [Week 4 · Communities & backbones
    
    ### Who Hires
    
    Where does America's H-1B hiring happen?
    
    Read the post →](https://horrrt.github.io/02805_social_graphs/weeks/week04/)
5.  [Week 5 · Counting words
    
    ### Marvel in Words
    
    Does a character's place in the network show in the words of its page?
    
    Read the post →](https://horrrt.github.io/02805_social_graphs/weeks/week05/)
6.  [Week 6 · What words mean
    
    ### Storm, Not Weather
    
    What do counts, weights and word vectors give away about 303 Marvel pages?
    
    Read the post →](https://horrrt.github.io/02805_social_graphs/weeks/week06/)

## About

Made by

-    [![](https://horrrt.github.io/02805_social_graphs/assets/images/team/gyula.jpg) Gyula Kürthy](https://www.linkedin.com/in/gy01/)
-    [![](https://horrrt.github.io/02805_social_graphs/assets/images/team/angela.jpg) Àngela Buxó](https://www.linkedin.com/in/angelabuxo/)
-    [![](https://horrrt.github.io/02805_social_graphs/assets/images/team/niklas.jpg) Niklas Johansen](https://www.linkedin.com/in/niklas-netterstr%C3%B8m-johansen-332376310/)

Course

DTU 02805 Social Graphs and Interactions, autumn 2026. [Course website ↗](https://sunelehmann.com/socialgraphs2026-web/index.html)

02805 Social graphs and interactions · Fall 2026Credits

Article names, links and text excerpts from English Wikipedia, [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)

[](https://github.com/horrrt/02805_social_graphs)

---

02805 Social graphs and interactions · Fall 2026Credits

Article names, links and text excerpts from English Wikipedia, [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)

[](https://github.com/horrrt/02805_social_graphs)