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- research-articleJanuary 2024
Analysing the Spread of Toxicity on Twitter
CODS-COMAD '24: Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)Pages 118–126https://doi.org/10.1145/3632410.3632436The spread of hate speech on social media platforms has become a rising concern in recent years. Understanding the spread of hate is crucial for mitigating its harmful effects and fostering a healthier online environment. In this paper, we propose a new ...
- research-articleDecember 2021
Improving Streaming Cryptocurrency Transaction Classification via Biased Sampling and Graph Feedback
ACSAC '21: Proceedings of the 37th Annual Computer Security Applications ConferencePages 761–772https://doi.org/10.1145/3485832.3485913We show that knowledge of wallet addresses from the current time state of a blockchain network, such as Bitcoin, increases the performance of illicit activity detection. Based on this finding we introduce two new methods for the sampling of classifier ...
- ArticleJanuary 2015
Lambda-Gaga: Toward a New Metric for the Complex System State of the Electrical Grid
HICSS '15: Proceedings of the 2015 48th Hawaii International Conference on System SciencesPages 2729–2737https://doi.org/10.1109/HICSS.2015.329The power transmission grid, as well as many other complex critical infrastructure systems, display characteristics of a critical or near critical complex system with the risk of large cascading failures. Understanding this risk and its relation to the ...
- articleJuly 2012
Network-Based Modeling in Epidemiology: An Emphasis on Dynamics
International Journal of Information System Modeling and Design (IJISMD-IGI), Volume 3, Issue 3Pages 46–65https://doi.org/10.4018/jismd.2012070103The social behavior of individuals is an important factor of the transmission and the evolution of many diseases. As such, epidemic studies have attempted to integrate social aspects in dissemination modeling. Since the pioneering works of Klovdahl on ...
- ArticleJuly 2009
Mining the Dynamics of Music Preferences from a Social Networking Site
ASONAM '09: Proceedings of the 2009 International Conference on Advances in Social Network Analysis and MiningPages 243–248https://doi.org/10.1109/ASONAM.2009.26In this paper we present an application of our incremental graph clustering algorithm (DENGRAPH) on a data set obtained from the music community site Last.fm. The aim of our study is to determine the music preferences of people and to observe how the ...