26 citations · 123 across the 30 of their papers we have counts for
36 papers
Internet Quality Barometer (IQB): A preliminary data-driven evaluation of the IQB framework
Pavlos Sermpezis, Zeynep Arslan
The Internet Quality Barometer (IQB) framework was designed to transform raw Internet measurement data into actionable insights about Internet quality. Specifically, the framework…
Poster: ChatIYP: Enabling Natural Language Access to the Internet Yellow Pages Database
Vasilis Andritsoudis, Pavlos Sermpezis, Ilias Dimitriadis +1
The Internet Yellow Pages (IYP) aggregates information from multiple sources about Internet routing into a unified, graph-based knowledge base. However, querying it requires knowle…
Poster: The Internet Quality Barometer Framework
Lai Yi Ohlsen, Pavlos Sermpezis, Melissa Newcomb
In this paper, we introduce the Internet Quality Barometer (IQB), a framework aiming to redefine Internet quality beyond ``speed''. IQB (i) defines Internet quality in a user-centr…
AI Harmonics: a human-centric and harms severity-adaptive AI risk assessment framework
Sofia Vei, Paolo Giudici, Pavlos Sermpezis +2
The absolute dominance of Artificial Intelligence (AI) introduces unprecedented societal harms and risks. Existing AI risk assessment models focus on internal compliance, often neg…
AgoraSpeech: A multi-annotated comprehensive dataset of political discourse through the lens of humans and AI
Pavlos Sermpezis, Stelios Karamanidis, Eva Paraschou +7
Political discourse datasets are important for gaining political insights, analyzing communication strategies or social science phenomena. Although numerous political discourse cor…
Towards Hybrid Intelligence in Journalism: Findings and Lessons Learnt from a Collaborative Analysis of Greek Political Rhetoric by ChatGPT and Humans
Thanasis Troboukis, Kelly Kiki, Antonis Galanopoulos +4
This chapter introduces a research project titled "Analyzing the Political Discourse: A Collaboration Between Humans and Artificial Intelligence", which was initiated in preparatio…
Bias in Internet Measurement Platforms
Pavlos Sermpezis, Lars Prehn, Sofia Kostoglou +3
Network operators and researchers frequently use Internet measurement platforms (IMPs), such as RIPE Atlas, RIPE RIS, or RouteViews for, e.g., monitoring network performance, detec…
Analyzing large scale political discussions on Twitter: the use case of the Greek wiretapping scandal (#ypoklopes)
Ilias Dimitriadis, Dimitrios P. Giakatos, Stelios Karamanidis +3
In this paper, we study the Greek wiretappings scandal, which has been revealed in 2022 and attracted a lot of attention by press and citizens. Specifically, we propose a methodolo…
PyPoll: A python library automating mining of networks, discussions and polarization on Twitter
Dimitrios Panteleimon Giakatos, Pavlos Sermpezis, Athena Vakali
Today online social networks have a high impact in our society as more and more people use them for communicating with each other, express their opinions, participating in public d…
Uncovering Bias in Personal Informatics
Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali +1
Personal informatics (PI) systems, powered by smartphones and wearables, enable people to lead healthier lifestyles by providing meaningful and actionable insights that break down…
Benchmarking Graph Neural Networks for Internet Routing Data
Dimitrios Panteleimon Giakatos, Sofia Kostoglou, Pavlos Sermpezis +1
The Internet is composed of networks, called Autonomous Systems (or, ASes), interconnected to each other, thus forming a large graph. While both the AS-graph is known and there is…
12 Years of Self-tracking for Promoting Physical Activity from a User Diversity Perspective: Taking Stock and Thinking Ahead
Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali
Despite the indisputable personal and societal benefits of regular physical activity, a large portion of the population does not follow the recommended guidelines, harming their he…
Network Friendly Recommendations: Optimizing for Long Viewing Sessions
Theodoros Giannakas, Pavlos Sermpezis, Thrasyvoulos Spyropoulos
Caching algorithms try to predict content popularity, and place the content closer to the users. Additionally, nowadays requests are increasingly driven by recommendation systems (…
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning
Marinos Poiitis, Pavlos Sermpezis, Athena Vakali
Graph Representation Learning (GRL) has become essential for modern graph data mining and learning tasks. GRL aims to capture the graph's structural information and exploit it in c…
Estimating the Impact of BGP Prefix Hijacking
Pavlos Sermpezis, Vasileios Kotronis, Konstantinos Arakadakis +1
BGP prefix hijacking is a critical threat to the resilience and security of communications in the Internet. While several mechanisms have been proposed to prevent, detect or mitiga…
Fairness in Network-Friendly Recommendations
Theodoros Giannakas, Pavlos Sermpezis, Anastasios Giovanidis +2
As mobile traffic is dominated by content services (e.g., video), which typically use recommendation systems, the paradigm of network-friendly recommendations (NFR) has been propos…
14 Years of Self-Tracking Technology for mHealth -- Literature Review: Lessons Learnt and the PAST SELF Framework
Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali
In today's connected society, many people rely on mHealth and self-tracking (ST) technology to help them adopt healthier habits with a focus on breaking their sedentary lifestyle a…
Network-aware Recommendations in the Wild: Methodology, Realistic Evaluations, Experiments
Savvas Kastanakis, Pavlos Sermpezis, Vasileios Kotronis +2
Joint caching and recommendation has been recently proposed as a new paradigm for increasing the efficiency of mobile edge caching. Early findings demonstrate significant gains for…
My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks
Dimitra Karanatsiou, Pavlos Sermpezis, Jon Gruda +3
Users in Online Social Networks (OSN) leaves traces that reflect their personality characteristics. The study of these traces is important for a number of fields, such as a social…
O Peer, Where Art Thou? Uncovering Remote Peering Interconnections at IXPs
George Nomikos, Vasileios Kotronis, Pavlos Sermpezis +6
Internet eXchange Points (IXPs) are Internet hubs that mainly provide the switching infrastructure to interconnect networks and exchange traffic. While the initial goal of IXPs was…
Towards QoS-Aware Recommendations
Pavlos Sermpezis, Savvas Kastanakis, João Ismael Pinheiro +4
In this paper we propose that recommendation systems (RSs) for multimedia services should be "QoS-aware", i.e., take into account the expected QoS with which a content can be deliv…
The Order of Things: Position-Aware Network-friendly Recommendations in Long Viewing Sessions
Theodoros Giannakas, Thrasyvoulos Spyropoulos, Pavlos Sermpezis
Caching has recently attracted a lot of attention in the wireless communications community, as a means to cope with the increasing number of users consuming web content from mobile…
Inferring Catchment in Internet Routing
Pavlos Sermpezis, Vasileios Kotronis
BGP is the de-facto Internet routing protocol for exchanging prefix reachability information between Autonomous Systems (AS). It is a dynamic, distributed, path-vector protocol tha…
CABaRet: Leveraging Recommendation Systems for Mobile Edge Caching
Savvas Kastanakis, Pavlos Sermpezis, Vasileios Kotronis +1
Joint caching and recommendation has been recently proposed for increasing the efficiency of mobile edge caching. While previous works assume collaboration between mobile network o…