Cargando…
An Innovative Way to Model Twitter Topic-Driven Interactions Using Multiplex Networks
We propose a way to model topic-based implicit interactions among Twitter users. Our model relies on grouping Twitter hashtags, in a given context, into themes/topics and then using the multiplex network model to construct a thematic multiplex where each layer corresponds to a topic/theme, and users...
Autores principales: | Hanteer, Obaida, Rossi, Luca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931960/ https://www.ncbi.nlm.nih.gov/pubmed/33693332 http://dx.doi.org/10.3389/fdata.2019.00009 |
Ejemplares similares
-
Twitter Response to Munich July 2016 Attack: Network Analysis of Influence
por: Bermudez, Ivan, et al.
Publicado: (2019) -
Data-Driven Modeling of Breast Cancer Tumors Using Boolean Networks
por: Sgariglia, Domenico, et al.
Publicado: (2021) -
Unified Representation of Twitter and Online News Using Graph and Entities
por: Syed, Munira, et al.
Publicado: (2021) -
Use of Machine Learning to Detect Wildlife Product Promotion and Sales on Twitter
por: Xu, Qing, et al.
Publicado: (2019) -
Do we behave differently on Twitter and Facebook: Multi-view social network user personality profiling for content recommendation
por: Yang, Qi, et al.
Publicado: (2022)