To date, many studies have used the social media platform Twitter to gather insights into real-life events. The current literature focuses on patterns around isolated case studies and their dynamics happening on the platform, but it still lacks standard techniques for comparing behavioural and interaction patterns within and across Twitter communities. To fill this gap, we present a framework for characterizing online Twitter communities from a quantitative and a semantic point of view. We then discuss an example of the application of the framework to compare two distinct Twitter fan communities. This case study application clearly illustrates the benefits of the framework, while also highlighting potential areas for improvement and further extensions.

Towards a more systematic analysis of twitter data: A framework for the analysis of twitter communities

Antelmi A.
First
;
2018-01-01

Abstract

To date, many studies have used the social media platform Twitter to gather insights into real-life events. The current literature focuses on patterns around isolated case studies and their dynamics happening on the platform, but it still lacks standard techniques for comparing behavioural and interaction patterns within and across Twitter communities. To fill this gap, we present a framework for characterizing online Twitter communities from a quantitative and a semantic point of view. We then discuss an example of the application of the framework to compare two distinct Twitter fan communities. This case study application clearly illustrates the benefits of the framework, while also highlighting potential areas for improvement and further extensions.
2018
Inglese
contributo
1 - Conferenza
26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2018
Trinity College Dublin, Dublin, Ireland
2018
Nazionale
CEUR Workshop Proceedings
Comitato scientifico
CEUR-WS
Aachen
GERMANIA
2259
303
314
12
http://aics2018.scss.tcd.ie/papers/aics_28.pdf
Online social network analysis; Twitter communities analysis
IRLANDA
1 – prodotto con file in versione Open Access (allegherò il file al passo 6 - Carica)
3
info:eu-repo/semantics/conferenceObject
04-CONTRIBUTO IN ATTI DI CONVEGNO::04A-Conference paper in volume
Antelmi A.; Griffith J.; Young K.
273
open
File in questo prodotto:
File Dimensione Formato  
aics_28.pdf

Accesso aperto

Tipo di file: PDF EDITORIALE
Dimensione 559.68 kB
Formato Adobe PDF
559.68 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1940030
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact