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pro vyhledávání: '"Haralabopoulos, Giannis"'
The extensive use of online social media has highlighted the importance of privacy in the digital space. As more scientists analyse the data created in these platforms, privacy concerns have extended to data usage within the academia. Although text a
Externí odkaz:
http://arxiv.org/abs/2203.01373
Information flows are the result of a constant exchange in Online Social Networks (OSNs). OSN users create and share varying types of information in real-time throughout a day. Virality is introduced as a term to describe information that reaches a w
Externí odkaz:
http://arxiv.org/abs/1712.02245
Sentiment analysis aims to uncover emotions conveyed through information. In its simplest form, it is performed on a polarity basis, where the goal is to classify information with positive or negative emotion. Recent research has explored more nuance
Externí odkaz:
http://arxiv.org/abs/1710.04203
Publikováno v:
In Expert Systems With Applications 1 September 2021 177
Autor:
Haralabopoulos, Giannis
Research interest on Online Social Networks (OSNs), has increased dramatically over the last decade, mainly because online networks provide a vast source of social information. Graph structure, user connections, growth, information exposure and diffu
Externí odkaz:
http://arxiv.org/abs/1504.05430
Since 1950, information flows have been in the centre of scientific research. Up until internet penetration in the late 90s, these studies were based over traditional offline social networks. Several observations in offline information flows studies,
Externí odkaz:
http://arxiv.org/abs/1403.1486
Social graphs can be easily extracted from Online Social Networks. However these networks are getting larger from day to day. Sampling methods used to evaluate graph information cannot accurately extract graph properties. Furthermore Social Networks
Externí odkaz:
http://arxiv.org/abs/1211.7232
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Publikováno v:
In Journal of Network and Computer Applications October 2015 56:88-100
Publikováno v:
In Journal of Network and Computer Applications May 2014 41:126-134