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Authors: Isidoros Perikos 1 and Loizos Michael 2 ; 1

Affiliations: 1 Open University of Cyprus, Nicosia, Cyprus ; 2 CYENS Center of Excellence, Nicosia, Cyprus

Keyword(s): Tie Strength, Social Networks, Social Relations, Social Interaction.

Abstract: Social networks constitute an important medium for social interaction where people communicate and formulate relationships in a way similar to what they do in real life. The analysis of the users’ relationships in social networks can lead to new insights into human social behavior. Tie strength constitutes a core aspect of social relationships, which represents the importance of a relationship and the closeness of individuals. Understanding the key features of tie strength in social networks can assist in formulating more efficient user-centric services. This survey paper examines the advances in the area of the analysis of tie strength in social networks. We study the dimensions of tie strength and review the key predictive features for each dimension. We, then, undertake a comparative study of methodologies to model tie strength and examine the key findings. Finally, we discuss open issues and challenges in specifying tie strength.

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Paper citation in several formats:
Perikos, I. and Michael, L. (2022). A Survey on Tie Strength Estimation Methods in Online Social Networks. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 484-491. DOI: 10.5220/0010845100003116

@conference{icaart22,
author={Isidoros Perikos. and Loizos Michael.},
title={A Survey on Tie Strength Estimation Methods in Online Social Networks},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2022},
pages={484-491},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010845100003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - A Survey on Tie Strength Estimation Methods in Online Social Networks
SN - 978-989-758-547-0
IS - 2184-433X
AU - Perikos, I.
AU - Michael, L.
PY - 2022
SP - 484
EP - 491
DO - 10.5220/0010845100003116
PB - SciTePress

- Science and Technology Publications, Lda.
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