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Authors: Viacheslav Lanin ; Lyudmila Lyadova ; Elena Zamyatina and Nikita Vostroknutov

Affiliation: Department of Information Technologies in Business, HSE University, Perm, Russian Federation

Keyword(s): Social Network, Social Media, Multifaceted Ontology, Event Classification, Event Logs, Process Mining.

Abstract: The article presents an approach to the analysis of processes in social networks based on using multifaceted ontologies. An overview of existing tools for analyzing social networks is provided and the results of studying social networks are presented. A multifaceted ontology describing social networks has been developed based on the research findings. The main result for this study is the ontology of events, which can be used to pre- process data, extracted from social networks, to generate event logs in a form suitable for export to Process Mining tools to analyze networks (identification of user behavior patterns, analysis of information distribution, etc.). Examples illustrating the proposed approach are given.

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Paper citation in several formats:
Lanin, V.; Lyadova, L.; Zamyatina, E. and Vostroknutov, N. (2021). An Ontology-based Approach to Social Networks Mining. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KEOD; ISBN 978-989-758-533-3; ISSN 2184-3228, SciTePress, pages 234-239. DOI: 10.5220/0010716600003064

@conference{keod21,
author={Viacheslav Lanin. and Lyudmila Lyadova. and Elena Zamyatina. and Nikita Vostroknutov.},
title={An Ontology-based Approach to Social Networks Mining},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KEOD},
year={2021},
pages={234-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010716600003064},
isbn={978-989-758-533-3},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KEOD
TI - An Ontology-based Approach to Social Networks Mining
SN - 978-989-758-533-3
IS - 2184-3228
AU - Lanin, V.
AU - Lyadova, L.
AU - Zamyatina, E.
AU - Vostroknutov, N.
PY - 2021
SP - 234
EP - 239
DO - 10.5220/0010716600003064
PB - SciTePress

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