A multilayer network-based framework for handling and comparing user histories in X

In this article, we propose a framework that uses a multimodal multilayer network to build, manage and compare User Histories in X. A User History not only considers the contents of interest to the user, as is generally the case with a User Profile. In fact, it also records the set of interactions she has made with contents, the timestamps when they happened, and, ultimately, the history of her actions and behaviour. This provides a more comprehensive view of the user, her preferences and needs and paves the way to a number of additional applications. Most of them need to compare two User Histories to calculate their similarity degree. Our framework proposes two approaches, one naive and one refined, to perform this task. We also mention an application that, along with others already proposed in the literature, can greatly benefit from User Histories with the aim of fostering people inclusiveness. Finally, we describe a set of experiments we conducted to evaluate the goodness of the proposed framework.

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Publication Details

Journal
Journal of Information Science
Published
2024-11-15
DOI
https://doi.org/10.1177/01655515241281313
Citations
2
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.50
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article

A multilayer network-based framework for handling and comparing user histories in X

Luca Virgili, Enrico Corradini, Gianluca Bonifazi, Domenico Ursino et al.
2 citations
Journal of Information Science
Data Visualization and Analytics
0.50
article

A multilayer network-based framework for handling and comparing user histories in X

Luca Virgili, Enrico Corradini, Gianluca Bonifazi, Domenico Ursino, Francesco Cauteruccio, Michele Marchetti
article en
2 citations

Abstract

In this article, we propose a framework that uses a multimodal multilayer network to build, manage and compare User Histories in X. A User History not only considers the contents of interest to the user, as is generally the case with a User Profile. In fact, it also records the set of interactions she has made with contents, the timestamps when they happened, and, ultimately, the history of her actions and behaviour. This provides a more comprehensive view of the user, her preferences and needs and paves the way to a number of additional applications. Most of them need to compare two User Histories to calculate their similarity degree. Our framework proposes two approaches, one naive and one refined, to perform this task. We also mention an application that, along with others already proposed in the literature, can greatly benefit from User Histories with the aim of fostering people inclusiveness. Finally, we describe a set of experiments we conducted to evaluate the goodness of the proposed framework.

Journal of Information Science
Marche Polytechnic University (IT), University of Salerno (IT)
Openalex Percentile: Top 33%
Data Visualization and Analytics
0.50
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A multilayer network-based framework for handling and comparing user histories in X — Luca Virgili, Enrico Corradini, et al. · Journal of Information Science (2024) | TGRS Research Map | TGRS