survey

Modeling Influence with Semantics in Social Networks: A Survey

Authors:

Gerasimos Razis,

Ioannis Anagnostopoulos,

Sherali ZeadallyAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 53, Issue 1

Article No.: 7, Pages 1 - 38

https://doi.org/10.1145/3369780

Published: 06 February 2020 Publication History

Abstract

The discovery of influential entities in all kinds of networks (e.g., social, digital, or computer) has always been an important field of study. In recent years, Online Social Networks (OSNs) have been established as a basic means of communication and often influencers and opinion makers promote politics, events, brands, or products through viral content. In this work, we present a systematic review across (i) online social influence metrics, properties, and applications and (ii) the role of semantic in modeling OSNs information. We found that both areas can jointly provide useful insights towards the qualitative assessment of viral user-generated content, as well as for modeling the dynamic properties of influential content and its flow dynamics.

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 53, Issue 1

January 2021

781 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3382040

Editor:
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Publication History

Published: 06 February 2020

Accepted: 01 October 2019

Revised: 01 June 2019

Received: 01 September 2018

Published in CSUR Volume 53, Issue 1

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Hasan MBakar AYaakub M(2024)Measuring User Influence in Real-Time on Twitter Using Behavioural FeaturesPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2024.129662(129662)Online publication date: Mar-2024
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https://doi.org/10.1016/j.eswa.2024.123429
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