arXiv Open Access 2020

Multilayer network simplification: approaches, models and methods

Roberto Interdonato Matteo Magnani Diego Perna Andrea Tagarelli Davide Vega

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Abstrak

Multilayer networks have been widely used to represent and analyze systems of interconnected entities where both the entities and their connections can be of different types. However, real multilayer networks can be difficult to analyze because of irrelevant information, such as layers not related to the objective of the analysis, because of their size, or because traditional methods defined to analyze simple networks do not have a straightforward extension able to handle multiple layers. Therefore, a number of methods have been devised in the literature to simplify multilayer networks with the objective of improving our ability to analyze them. In this article we provide a unified and practical taxonomy of existing simplification approaches, and we identify categories of multilayer network simplification methods that are still underdeveloped, as well as emerging trends.

Topik & Kata Kunci

cs.SI physics.data-an physics.soc-ph

Penulis (5)

Roberto Interdonato

Matteo Magnani

Diego Perna

Andrea Tagarelli

Davide Vega

Format Sitasi

APA MLA BibTeX

Interdonato, R., Magnani, M., Perna, D., Tagarelli, A., Vega, D. (2020). Multilayer network simplification: approaches, models and methods. https://arxiv.org/abs/2004.14808

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓