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Social Network Analysis and Mining
Erschienen in: Social Network Analysis and Mining 1/2023

01.12.2023 | Review Paper

Events management in social media: a systematic literature review

verfasst von: Siraj Mohammed, Fekade Getahun, Richard Chbeir

Erschienen in: Social Network Analysis and Mining | Ausgabe 1/2023

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Abstract

Currently, social media platforms become a valuable source of user-defined multi-features and multimedia data. Such data could be used for several event related applications, such as event detection, event relationship identification, and event representation in the form of nodes and edges. In this paper, we use a systematic critical review to assess recent works in event related problems to understand the state-of-the-art. Specifically, we mainly focus on the following recent major research issues: (i) event definition and the concept behind the 5W1H dimensions from social media perspective; (ii) event detection, including social media data representation, dimensions similarity measures, datasets, and evaluation measures used in the event detection task; (iii) event relationships identification covering the current approaches for three categories of event relationships: temporal, spatial, and semantic; and (iv) event-based knowledge graph construction in which details about event graph components and approaches used in the event graph are described. Furthermore, we provide applications, challenges, findings for each question, and promising research directions.
Vorheriger Artikel A survey on bipartite graphs embedding
Nächster Artikel Influence maximization in social networks: a survey of behaviour-aware methods

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Fußnoten
4
SVM is a supervised learning method used for classification.
 
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Metadaten
Titel
Events management in social media: a systematic literature review
verfasst von
Siraj Mohammed
Fekade Getahun
Richard Chbeir
Publikationsdatum
01.12.2023
Verlag
Springer Vienna
Erschienen in
Social Network Analysis and Mining / Ausgabe 1/2023
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-023-01079-8

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