Deep Learning Exploration of Agent-Based Social Network Model Parameters

Deep Learning Exploration of Agent-Based Social Network Model Parameters

Interactions between humans give rise to complex social networks that are characterized by heterogeneous degree distribution, weight-topology relation, overlapping community structure, and dynamics of links. Understanding these characteristics of social networks is the primary goal of their research...

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Bibliographic Details
Main Authors: Yohsuke Murase, Hang-Hyun Jo, János Török, János Kertész, Kimmo Kaski
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Big Data
Subjects:
social networks
agent-based modeling
high-performance computing
metamodeling
deep learning
sensitivity analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2021.739081/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2021.739081/full

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