Information
(May 2020)
TwiFly: A Data Analysis Framework for Twitter
Panagiotis Chatziadam,
Aftantil Dimitriadis,
Stefanos Gikas,
Ilias Logothetis,
Manolis Michalodimitrakis,
Manolis Neratzoulakis,
Alexandros Papadakis,
Vasileios Kontoulis,
Nikolaos Siganos,
Dimitrios Theodoropoulos,
Giannis Vougioukalos,
Ilias Hatzakis,
George Gerakis,
Nikolaos Papadakis,
Haridimos Kondylakis
Affiliations
Panagiotis Chatziadam
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Aftantil Dimitriadis
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Stefanos Gikas
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Ilias Logothetis
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Manolis Michalodimitrakis
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Manolis Neratzoulakis
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Alexandros Papadakis
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Vasileios Kontoulis
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Nikolaos Siganos
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Dimitrios Theodoropoulos
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Giannis Vougioukalos
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Ilias Hatzakis
Department of Agriculture, Hellenic Mediterranean University, GR70013 Heraklion, Greece
George Gerakis
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Nikolaos Papadakis
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
Haridimos Kondylakis
Department of Electrical and Computer Engineering, Hellenic Mediterranean University, GR70013 Heraklion, Greece
DOI
https://doi.org/10.3390/info11050247
Journal volume & issue
Vol. 11,
no. 5
Abstract
Read online
Over the last decade, there have been many changes in the field of political analysis at a global level. Through social networking platforms, millions of people have the opportunity to express their opinion and capture their thoughts at any time, leaving their digital footprint. As such, massive datasets are now available, which can be used by analysts to gain useful insights on the current political climate and identify political tendencies. In this paper, we present TwiFly, a framework built for analyzing Twitter data. TwiFly accepts a number of accounts to be monitored for a specific time-frame and visualizes in real time useful extracted information. As a proof of concept, we present the application of our platform to the most recent elections of Greece, gaining useful insights on the election results.
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