ItemConference Paper

Analysing Twitter User Behaviour with Process Mining: A Study on Activity Patterns

Title
Analysing Twitter User Behaviour with Process Mining: A Study on Activity Patterns
Creator
Pawar, Varsha; Jose, Deepa V.
Description
Social media sites provide a platform to share the information. People share their views and interests. Social media data provides information on user, activity, network, and content. Researchers anticipate a lot of information from social media data. It covers the activities of user, people connected to them, and their likes and dislikes. If users data is processed keenly, one can easily understand a users behaviour with his actions and predicts the next action of the user. It also helps in describing the relations among the users. This study illustrated the process mining algorithms to uncover the insights of Twitter users data. The model depicts the overall process flow of Twitter user activities. Behavioural patterns like common sequences, repeated user actions, direct relations, and rare interactions are analysed. The models performance is assessed with the metrics like fitness, precision, and simplicity to choose the best model for the dataset. Inductive miner outperformed well with other algorithms. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Source
Lecture Notes in Networks and Systems;Volume;1240 LNNS;pp.395-403
Date
01-01-2025
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Behaviour analysis; Process mining; Twitter; User behaviour
Coverage
Pawar V., Department of Computer Applications, CMR Institute of Technology, Bengaluru, India, Christ University, Bangalore, India; Jose D.V., Christ University, Bangalore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 23673370; ISBN: 978-981961263-5;
Format
online
Language
English
Type
Conference paper

Citation

Pawar, Varsha; Jose, Deepa V., “Analysing Twitter User Behaviour with Process Mining: A Study on Activity Patterns,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25467.

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