24 citations · 74 across the 15 of their papers we have counts for
15 papers
Analysis of Server Throughput For Managed Big Data Analytics Frameworks
Emmanouil Anagnostakis, Polyvios Pratikakis
Managed big data frameworks, such as Apache Spark and Giraph demand a large amount of memory per core to process massive volume datasets effectively. The memory pressure that arise…
Russo-Ukrainian War: Prediction and explanation of Twitter suspension
Alexander Shevtsov, Despoina Antonakaki, Ioannis Lamprou +3
On 24 February 2022, Russia invaded Ukraine, starting what is now known as the Russo-Ukrainian War, initiating an online discourse on social media. Twitter as one of the most popul…
BotArtist: Generic approach for bot detection in Twitter via semi-automatic machine learning pipeline
Alexander Shevtsov, Despoina Antonakaki, Ioannis Lamprou +2
Twitter, as one of the most popular social networks, provides a platform for communication and online discourse. Unfortunately, it has also become a target for bots and fake accoun…
Twitter Dataset on the Russo-Ukrainian War
Alexander Shevtsov, Christos Tzagkarakis, Despoina Antonakaki +2
On 24 February 2022, Russia invaded Ukraine, also known now as Russo-Ukrainian War. We have initiated an ongoing dataset acquisition from Twitter API. Until the day this paper was…
Detecting Influenza Epidemics on Twitter
Katerina Katsani-Geronymaki, Polyvios Pratikakis
This paper presents a predictive model for Influenza-Like-Illness, based on Twitter traffic. We gather data from Twitter based on a set of keywords used in the Influenza wikipedia…
Garbage Collection or Serialization? Between a Rock and a Hard Place!
Iacovos G. Kolokasis, Giannos Evdorou, Anastasios Papagiannis +5
Big data analytics frameworks, such as Spark and Giraph, need to process and cache massive amounts of data that do not always fit on the heap. Therefore, frameworks temporarily mov…