Cargando…
Subgraphs of Interest Social Networks for Diffusion Dynamics Prediction
Finding the building blocks of real-world networks contributes to the understanding of their formation process and related dynamical processes, which is related to prediction and control tasks. We explore different types of social networks, demonstrating high structural variability, and aim to extra...
Autores principales: | Guleva, Valentina Y., Andreeva, Polina O., Vaganov, Danila A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074582/ https://www.ncbi.nlm.nih.gov/pubmed/33924216 http://dx.doi.org/10.3390/e23040492 |
Ejemplares similares
-
From Generality to Specificity: On Matter of Scale in Social Media Topic Communities
por: Vaganov, Danila, et al.
Publicado: (2020) -
Rumor Diffusion in an Interests-Based Dynamic Social Network
por: Tang, Mingsheng, et al.
Publicado: (2013) -
Subgraph “Backbone” Analysis of Dynamic Brain Networks during Consciousness and Anesthesia
por: Shin, Jeongkyu, et al.
Publicado: (2013) -
Subgraphs of functional brain networks identify dynamical constraints of cognitive control
por: Khambhati, Ankit N., et al.
Publicado: (2018) -
Beyond clustering: mean-field dynamics on networks with arbitrary subgraph composition
por: Ritchie, Martin, et al.
Publicado: (2015)