N
Nicolas Kourtellis
Researcher at Telefónica
Publications - 165
Citations - 4299
Nicolas Kourtellis is an academic researcher from Telefónica. The author has contributed to research in topics: Computer science & Social media. The author has an hindex of 30, co-authored 140 publications receiving 2885 citations. Previous affiliations of Nicolas Kourtellis include Yahoo! & University of South Florida.
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Proceedings ArticleDOI
Large scale crowdsourcing and characterization of twitter abusive behavior
Antigoni Maria Founta,Constantinos Djouvas,Despoina Chatzakou,Ilias Leontiadis,Jeremy Blackburn,Gianluca Stringhini,Athena Vakali,Michael Sirivianos,Nicolas Kourtellis +8 more
TL;DR: The authors proposed an incremental and iterative methodology that leverages the power of crowdsourcing to annotate a large collection of tweets with a set of abuse-related labels and identified a reduced but robust set of labels to characterize abusive-related tweets.
Proceedings ArticleDOI
Mean Birds: Detecting Aggression and Bullying on Twitter
Despoina Chatzakou,Nicolas Kourtellis,Jeremy Blackburn,Emiliano De Cristofaro,Gianluca Stringhini,Athena Vakali +5 more
TL;DR: The authors proposed a robust methodology for extracting text, user, and network-based attributes, studying the properties of bullies and aggressors, and what features distinguish them from regular users, finding that bullies are relatively popular and tend to include more negativity in their posts.
Posted Content
Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior
Antigoni Maria Founta,Constantinos Djouvas,Despoina Chatzakou,Ilias Leontiadis,Jeremy Blackburn,Gianluca Stringhini,Athena Vakali,Michael Sirivianos,Nicolas Kourtellis +8 more
TL;DR: This work proposes an incremental and iterative methodology, that utilizes the power of crowdsourcing to annotate a large scale collection of tweets with a set of abuse-related labels, and identifies a reduced but robust set of labels.
Proceedings ArticleDOI
The Power of Both Choices: Practical Load Balancing for Distributed Stream Processing Engines
Muhammad Anis Uddin Nasir,Gianmarco De Francisci Morales,David García-Soriano,Nicolas Kourtellis,Marco Serafini +4 more
TL;DR: In this article, partial key grouping (PKG) is proposed to adapt the classical power of two choices to a distributed streaming setting by leveraging two novel techniques: key splitting and local load estimation.
Journal ArticleDOI
Identifying high betweenness centrality nodes in large social networks
TL;DR: In this paper, a new metric, κ-path centrality, and a randomized algorithm for estimating it were proposed, and it was shown empirically that nodes with high path centrality have high node betweenness centrality.