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

Research output: Contribution to a Journal (Peer & Non Peer)Conference articlepeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)303-314
Number of pages12
JournalCEUR Workshop Proceedings
Volume2259
Publication statusPublished - 2018
Event26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2018 - Dublin, Ireland
Duration: 6 Dec 20187 Dec 2018

Keywords

  • Online social network analysis
  • Twitter communities analysis

Fingerprint

Dive into the research topics of 'Towards a more systematic analysis of twitter data: A framework for the analysis of twitter communities'. Together they form a unique fingerprint.

Cite this