Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Antonakaki P"'
Autor:
Shevtsov, Alexander, Antonakaki, Despoina, Lamprou, Ioannis, Kontogiorgakis, Ioannis, Pratikakis, Polyvios, Ioannidis, Sotiris
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 popular SNs, with an open and democratic character, enables a transparent d
Externí odkaz:
http://arxiv.org/abs/2306.03502
Autor:
Shevtsov, Alexander, Antonakaki, Despoina, Lamprou, Ioannis, Pratikakis, Polyvios, Ioannidis, Sotiris
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 accounts, resulting in the spread of false information and manipulation. Thi
Externí odkaz:
http://arxiv.org/abs/2306.00037
Autor:
Nikos Tsotsolas, Eleni Koutsouraki, Aspasia Antonakaki, Stefanos Pizanias, Marios Kounelis, Dimitrios D. Piromalis, Dimitrios P. Kolovos, Christos Kokkotis, Themistoklis Tsatalas, George Bellis, Dimitrios Tsaopoulos, Paris Papaggelos, George Sidiropoulos, Giannis Giakas
Publikováno v:
BioMedInformatics, Vol 4, Iss 2, Pp 1085-1096 (2024)
As part of two research projects, a small gait analysis device was developed for use inside and outside the home by patients themselves. The project PARMODE aims to record accurate gait measurements in patients with Parkinson’s disease (PD) and pro
Externí odkaz:
https://doaj.org/article/fd52af4416ec4badb29cb029f1370c9b
Autor:
Shevtsov, Alexander, Tzagkarakis, Christos, Antonakaki, Despoina, Pratikakis, Polyvios, Ioannidis, Sotiris
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, ori
Externí odkaz:
http://arxiv.org/abs/2204.08530
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 interf
Externí odkaz:
http://arxiv.org/abs/2112.04913
Autor:
Shevtsov, Alexander Shevtsov Alexander, Oikonomidou, Maria, Antonakaki, Despoina, Pratikakis, Polyvios, Kanterakis, Alexandros, Ioannidis, Sotiris, Fragopoulou, Paraskevi
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 auto
Externí odkaz:
http://arxiv.org/abs/2010.15393
Autor:
Shevtsov, Alexander, Oikonomidou, Maria, Antonakaki, Despoina, Pratikakis, Polyvios, Ioannidis, Sotiris
The presidential elections in the United States on 3 November 2020 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
Externí odkaz:
http://arxiv.org/abs/2010.08183
Autor:
Anja Pichl, Robert Ranisch, Ozan Altan Altinok, Melpomeni Antonakaki, Andrew J. Barnhart, Katherine Bassil, J. Lomax Boyd, Alice Andrea Chinaia, Sarah Diner, Maxence Gaillard, Henry T. Greely, Joshua Jowitt, Karola Kreitmair, David Lawrence, Tim Nicholas Lee, Alex McKeown, Vorathep Sachdev, Silke Schicktanz, Jeremy Sugarman, Katharina Trettenbach, Lara Wiese, Hannes Wolff, Garðar Árnason
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 11 (2023)
Human cerebral organoids (HCOs) are model systems that enable researchers to investigate the human brain in ways that had previously been impossible. The emergence of HCOs was accompanied by both expert and layperson discussions concerning the possib
Externí odkaz:
https://doaj.org/article/6c46c846408045f394793ae21abf3660
Autor:
Alexander Shevtsov, Maria Oikonomidou, Despoina Antonakaki, Polyvios Pratikakis, Sotiris Ioannidis
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0270542 (2023)
Most studies analyzing political traffic on Social Networks focus on a single platform, while campaigns and reactions to political events produce interactions across different social media. Ignoring such cross-platform traffic may lead to analytical
Externí odkaz:
https://doaj.org/article/2ee612c8cf9e4f79bde3bf0922d33a54
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
Externí odkaz:
http://arxiv.org/abs/1510.01091