Our paper ‘Efficient Markov-Chain Monitoring’ with Harshal Chaudhari and Evimaria Terzi will appear at the SIAM International Conference on Data Mining (SDM) 2018.
Michael
December 21, 2017
Michael
December 4, 2017
Our tutorial on ‘Polarization on Social Media’ with Kiran, Gianmarco, and Aris will be hosted at the Web Conference (WWW2018) next year, in Lyon, France.
At the Complex Networks Conference
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Attending the Complex Networks conference in Lyon.
Michael
August 10, 2017
Last week, Stavros and I from Helvia visited the offices of Covve in Kifisia, Athens.
During the visit, I gave a presentation on machine learning, which included basic concepts, software, and a hands-on session with scikit-learn and tensorflow. You can find the material of the session on github.
Link: https://github.com/mmathioudakis/mlcovve
The Ebb and Flow of Controversial Debates on Social Media
By Kiran Garimella and Michael Mathioudakis
Our recent paper titled ‘The Effect of Collective Attention on Controversial Debates on Social Media’ (arXiv link) won the best student paper award at the 9th ACM Web Science conference held in Troy, New York.
The paper studies the evolution of long-lived controversial debates on Twitter – i.e., discussions on topics such as ‘gun control’ or ‘abortion’, that reveal a split of opinion between people who support different sides of the argument.
The main goal of this work is to study dynamic aspects of controversial debates — in particular: (i) whether controversy around the debates has increased over time; and (ii) whether controversy increases or decreases when major associated events occur.
Data
The dataset consists of an 1% sample of Twitter of all tweets generated between September 2011 and September 2016, as published by Twitter and stored on the Internet Archive (
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Best Student Paper award at Websci 2017
We did it again! 🙂
We received the Best Student Paper award at the Web Science 2017 conference.
The paper is ““The Effect of Collective Attention on Controversial Debates on Social Media”, by Kiran, Gianmarco, Aris, and myself.
The paper is publicly available on Arxiv (link).
Michael
May 19, 2017
I just gave a talk on ‘Measuring polarization on social media’ at the MLLN Workshop in Anchorage, Alaska, collocated with IJCNN. Many thanks to Izabela Moise and Nino Antulov-Fantulin for the invitation.
The slides are here.
