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Despoina Antonakaki

Despoina Antonakaki

PhD
Postdoctoral Researcher at ICS FORTH

About

24
Publications
6,904
Reads
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197
Citations
Citations since 2016
16 Research Items
162 Citations
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Introduction
Despoina Antonakaki does research in Algorithms, Data Structures and Software Engineering. Their current project is 'Article Social media analysis during political turbulence'.

Publications

Publications (24)
Article
Full-text available
Twitter is an online social network (OSN) with approximately 650 million users. It has been fairly characterized as one of the most influential OSNs since it includes public figures, organizations, news media and official authorities. Twitter has an inherent simple philosophy with short messages, friendship relations, hashtags and support for media...
Article
Full-text available
Intensive care unit (ICU) patients with venous thromboembolism (VTE) and/or cancer suffer from high mortality rates. Mortality prediction in the ICU has been a major medical challenge for which several scoring systems exist but lack in specificity. This study focuses on two target groups, namely patients with thrombosis or cancer. The main goal is...
Article
This study introduces a novel, reproducible and reusable Twitter bot identification system. The system uses a machine learning (ML) pipeline, fed with hundreds of features extracted from a Twitter corpus. The main objective of the proposed ML pipeline is to train and validate different state-of-the-art machine learning models, where the eXtreme Gra...
Article
Twitter is one of the most popular social networks attracting millions of users, while a considerable proportion of online discourse is captured. It provides a simple usage framework with short messages and an efficient application programming interface (API) enabling the research community to study and analyze several aspects of this social networ...
Article
Full-text available
Online social networks (OSN) are used by millions of users, daily. This user-base shares and discovers different opinions on popular topics. The social influence of large groups may be affected by user beliefs or be attracted by the interest in particular news or products. A large number of users, gathered in a single group or number of followers,...
Preprint
Full-text available
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 written the dataset has reached the amount of 57.3 million tweets, originating from 7.7 million users. We apply an initial volume and sentiment analysis, while the datase...
Preprint
Full-text available
Twitter is one of the most popular social networks attracting millions of users, while a considerable proportion of online discourse is captured. It provides a simple usage framework with short messages and an efficient application programming interface (API) enabling the research community to study and analyze several aspects of this social networ...
Preprint
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and Instagram. Compared to other OSNs, it has a simple data model and a straightforward data access API. This makes it ideal for social network studies attempting to analyze the patterns of online behavior, the structure of the social graph, the sentiment towards...
Preprint
A very large number of people use Online Social Networks daily. Such platforms thus become attractive targets for agents that seek to gain access to the attention of large audiences, and influence perceptions or opinions. Botnets, collections of automated accounts controlled by a single agent, are a common mechanism for exerting maximum influence....
Preprint
The upcoming November 2020 presidential elections in the United States have caused extensive discussions on social media. A part of the content on US elections is organic, coming from users discussing their opinions of the candidates, political positions, or relevant content presented on television. Another significant part of the content generated...
Conference Paper
Venous thromboembolism (VTE) is the third most common cardiovascular condition. Some high risk patients diagnosed with VTE need immediate treatment and monitoring in intensive care units (ICU) as the mortality rate is high. Most of the published predictive models for ICU mortality give information on in-hospital mortality using data recorded in the...
Article
Full-text available
Several models have been proposed that describe the evolution of the graph properties of many online social networks (OSNs) and explain the behavior of their users. These models are essential for understanding the growth dynamics of the underlying social graph. One of the most prominent OSNs is Twitter, since it covers a significant part of the onl...
Article
Full-text available
Today, a considerable proportion of the public political discourse on nationwide elections proceeds in Online Social Networks. Through analyzing this content, we can discover the major themes that prevailed during the discussion, investigate the temporal variation of positive and negative sentiment and examine the semantic proximity of these themes...
Conference Paper
Full-text available
This work explores the use of speech enabled complex graphs that are designed to enable non-technical users to edit and appraise visually complex semantic structures. The standard usability evaluation that was performed previously employed young, computer-literate participants that were familiar with such concepts and tools. We report on the findin...
Conference Paper
Full-text available
Social media is a social space for communication between people that share common activities, hobbies, interests and lifestyle. Activity tracking apps allow sharing of user activity summary results or instantiated activity events or milestones, both as a motivation factor and for collaborative approach to activity methods, i.e. team effect. Social...
Article
Full-text available
Twitter is one of the most prominent Online Social Networks. It covers a significant part of the online worldwide population~20% and has impressive growth rates. The social graph of Twitter has been the subject of numerous studies since it can reveal the intrinsic properties of large and complex online communities. Despite the plethora of these stu...
Conference Paper
Twitter is one of the most influential Online Social Networks (OSNs), adopted not only by hundreds of millions of users but also by public figures, organizations, news media, and official authorities. One of the factors contributing to this success is the inherent property of the platform for spreading news – encapsulated in short messages that are...
Article
Full-text available
Ontologies have become an essential asset in the bioinformatics toolbox and a number of ontology access resources are now available, for example, the EBI Ontology Lookup Service (OLS) and the NCBO BioPortal. However, these resources differ substantially in mode, ease of access, and ontology content. This makes it relatively difficult to access each...
Article
Full-text available
OntoCAT is an open source package developed to simplify the task of querying heterogeneous ontology resources. It supports local ontologies in OBO and OWL format as well as public repositories NCBO BioPortal and EBI Ontology Lookup Service (OLS). It is available from "http://ontocat.sourceforge.net":http://ontocat.sourceforge.net
Conference Paper
Full-text available
A multi-layered biomedical literature mining approach is presented aiming to the discovery of gene-gene correlations and the construction of respective gene networks. Utilization of the Trie-memory data structure enables efficient manipulation of different gene nomenclatures. The whole approach is coupled with a texts (biomedical abstracts) classif...
Article
Full-text available
The national consortium for Netherlands biobank research infrastructure BBMRI-NL is embarking on microarray meta-analyses aiming to exploit the wealth of microarray and GWAS data currently fragmented between individual biobanks (>6500 samples). To this end there was a need for an easy to populate, customize and federate infrastructure to submit, ho...
Article
Full-text available
Automatic extraction of information from biomedical texts appears as a necessity considering the growing of the massive amounts of the relative scientific literature. A special feature that makes this task more challenging is the over-abundance and heterogeneity of the relative genes/proteins terminology. In this paper we introduce a novel term-ide...
Article
Automatic knowledge discovery from biomedical free-texts appears as a necessity considering the growing of the massive amounts of biomedical scientific literature. A special problem that makes this task more challenging, and difficult as well, is the overabundance and diversity of the related genomic/proteomic ontologies and the respective gene and...

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