Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Markus Brede"'
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-22 (2024)
Abstract Reconstructing dynamics of complex systems from sparse, incomplete time series data is a challenging problem with applications in various domains. Here, we develop an iterative heuristic method to infer the underlying network structure and p
Externí odkaz:
https://doaj.org/article/27a0c679926346d89ec931cd01fc4c4b
Publikováno v:
Entropy, Vol 25, Iss 8, p 1152 (2023)
Prediction markets are heralded as powerful forecasting tools, but models that describe them often fail to capture the full complexity of the underlying mechanisms that drive price dynamics. To address this issue, we propose a model in which agents b
Externí odkaz:
https://doaj.org/article/84c02a3f2fe44918b9aaba96c5f0c101
Autor:
Kaloyan Danovski, Markus Brede
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0273608 (2022)
We propose an evolutionary model for the emergence of shared linguistic convention in a population of agents whose social structure is modelled by complex networks. Through agent-based simulations, we show a process of convergence towards a common la
Externí odkaz:
https://doaj.org/article/619dc69d332847bf884299c7f45642c3
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-22 (2019)
Abstract Growing evidence shows that social media facilitate diffusion of both pro-recovery and anti-recovery information among people affected by mental health problems, while little is known about the associations of people’s activities in sharin
Externí odkaz:
https://doaj.org/article/763aa0e3344243a290b7d9ebeeb83108
Autor:
Markus Brede, Guillermo Romero-Moreno
Publikováno v:
Entropy, Vol 24, Iss 5, p 738 (2022)
Sensing and processing information from dynamically changing environments is essential for the survival of animal collectives and the functioning of human society. In this context, previous work has shown that communication between networked agents w
Externí odkaz:
https://doaj.org/article/b6cd3b0f7dc74b2a824cfb043e6ba664
Publikováno v:
Entropy, Vol 24, Iss 5, p 640 (2022)
Using observational data to infer the coupling structure or parameters in dynamical systems is important in many real-world applications. In this paper, we propose a framework of strategically influencing a dynamical process that generates observatio
Externí odkaz:
https://doaj.org/article/6fe7dc867bd5434ca7aacc0855776631
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252515 (2021)
Influence maximisation, or how to affect the intrinsic opinion dynamics of a social group, is relevant for many applications, such as information campaigns, political competition, or marketing. Previous literature on influence maximisation has mostly
Externí odkaz:
https://doaj.org/article/2fa3441747334aa08c0d3bc46ea96dfc
Autor:
Markus Brede
Publikováno v:
Complexity, Vol 2019 (2019)
In this paper we study the impact of active participation, or deliberately seeking out other agents with an aim of convincing them, on the dynamics of consensus formation. For this purpose, we propose an adaptive network model in which two processes
Externí odkaz:
https://doaj.org/article/283b0eaee82241ac9f80ae7d22b2b0d3
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
In this paper, we investigate influence maximization, or optimal opinion control, in a modified version of the two-state voter dynamics in which a native state and a controlled or influenced state are accounted for. We include agent predispositions t
Externí odkaz:
https://doaj.org/article/37ffa112558644f4a8e8ab8b467a138d
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0200800 (2018)
Online health communities facilitate communication among people with health problems. Most prior studies focus on examining characteristics of these communities in sharing content, while limited work has explored social interactions between communiti
Externí odkaz:
https://doaj.org/article/c41a1d7347894e35b7e08eda90d79147