Predicting Abnormal User Behaviour Patterns in Social Media Platforms based on Process Mining-Reference-Cited by-同舟云学术

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Predicting Abnormal User Behaviour Patterns in Social Media Platforms based on Process Mining

Published:2023-01-27 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
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Author:

G Sharanya¹,Chandrasekaran Deepanjali¹,Sre Muli Dipikha¹,Sathiyanarayanan Mithileysh²

Affiliation:

1. SRM Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,India

2. MIT Square, London City, University of London,Research & Innovation,London,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10090461/10090462/10091025.pdf?arnumber=10091025

Reference20 articles.

1. Design of Small Multiples Matrix-based Visualisation to Understand E-mail Socio-organisational Relationships;sathiyanarayanan;2018 10th International Conference on Communication Systems & Networks (COMSNETS),0

2. Sentiment analysis of extremism in social media from textual information

3. Social network visualization: Does partial edges affect user comprehension?

4. Spherule diagrams with graph for social network visualization

5. Design and implementation of small multiples matrix-based visualisation to monitor and compare email socio-organisational relationships

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cyberbullying Avoidance and Impact from Online Tweets;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

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