You can download the booklet here. You will find a detailed schedule for the school, as well as some practical tips.


School Lectures

The 3 lectures will be aproximately 4 hours long each (including the coffee-break!).  They will cover different topics related to Complex Networks

1. Disentangling economic knots: Complex networks in finance, by Stefano Battiston (Friday morning)- Introduction to networks in economics and finance
– Empirical facts of financial networks
– Distress propagation in networks of banks
– Global networks, moral hazard and systemic risk
2. Is my data special? Null models, controls, and how to come up with them, by Roberta Sinatra (Friday afternoon)

When I was a PhD student, I have always been struggling to understand whether the nice correlation I had found in my data was really genuine. “Have I found something really interesting? Or is my result trivial?” Although controls and null models are the premise for good and meaningful science, building the right answer to “what should I have expected in a random case?” is often a steep learning process. Let’s work together on this in the case of complex networks.
On Friday afternoon, we will review together inspiring network papers where null models have been crucial to uncover fundamental mechanisms at work, and papers that instead lacked those (and we learn what they missed!). We will then move on introducing concepts of information theory and stochastic processes which provide us with tools to identify the right null model, and to quantify the differences between observations and expectations. We will then look together at applications where all of this turns useful, with focus on social dynamics and the science of success.

3. Influence and Homophily in Social Media, by Ciro Cattuto (Saturday morning)

The lecture will discuss homophily in social media and online social networks together with the network mechanisms that may explain the observed homophilic patterns, e.g., focal closure, social selection, social influence, and more. We will introduce the basic concepts and show how homophily is observed in the data against the relevant null models. We will subsequently discuss latent homophily and the challenge of teasing apart social selection and social influence in observational settings. We will close by reviewing recent literature on measuring and modeling influence and homophily in large and small online social networks.


PhD flashtalk beers

We decide to dedicate the afternoon of Saturday to a meeting where young researchers will have the possibility to present their work, discuss with others and share methodologies, knowledge and tools. To make the event more attractive, we propose the participants an offer they cannot refuse: We put the beers, you bring the ideas!

The talks will be in a Flash/Ignite style, that is, only 5 minuts long. You can use slides, videos, or even just a blackboard, but you only have 5 minutes! A lot can be said in 5 minutes, but you must focus on the key ideas behind your work rather than the details: if get to catch the audience interest, then they can ask you afterwards.

We strongly encourage each participant to the school to give a talk at the PhD flashtalks beers: Share with us your work and your interests!

IMPORTANT: if you want to present your work in a Flash talk, you should submit your abstract when you register online. If you already registered without submiting an abstract, but would like to do so now, or if you want to modify the one you already sent, then please send an email to eccswarmup at