Zobrazeno 1 - 10
of 861
pro vyhledávání: '"91d30"'
Autor:
Muñoz, Francisco J., Nuño, Juan Carlos
We investigate a variation of the classical voter model in which the set of influencing agents depends on an individual's current opinion. The initial population consists of a random sample of equally sized subpopulations for each state, and two type
Externí odkaz:
http://arxiv.org/abs/2411.16671
Autor:
Labarthe, Aldric, Kerzreho, Yann
In this paper, we introduce a conceptual framework that model human social networks as an undirected dot-product graph of independent individuals. Their relationships are only determined by a cost-benefit analysis, i.e. by maximizing an objective fun
Externí odkaz:
http://arxiv.org/abs/2411.16464
The bounded confidence model represents a widely adopted framework for modeling opinion dynamics wherein actors have a continuous-valued opinion and interact and approach their positions in the opinion space only if their opinions are within a specif
Externí odkaz:
http://arxiv.org/abs/2411.14099
Autor:
Bloznelis, Mindaugas, Marma, Dominykas
We present two models of sparse dynamic networks that display transitivity - the tendency for vertices sharing a common neighbour to be neighbours of one another. Our first network is a continuous time Markov chain $G=\{G_t=(V,E_t), t\ge 0\}$ whose s
Externí odkaz:
http://arxiv.org/abs/2411.12055
Autor:
Banisch, Sven, Wessels, Joris
Understanding how individuals' beliefs and attitudes evolve within a population is crucial for explaining social phenomena such as polarization and consensus formation. We explore a persuasive arguments model incorporating confirmation bias, where in
Externí odkaz:
http://arxiv.org/abs/2411.07323
Autor:
Ye, Teng, Yan, Hanson, Huang, Xuhuan, Grogan, Connor, Yuan, Walter, Mei, Qiaozhu, Jackson, Matthew O.
With the rise of social media and peer-to-peer networks, users increasingly rely on crowdsourced responses for information and assistance. However, the mechanisms used to rank and promote responses often prioritize and end up biasing in favor of time
Externí odkaz:
http://arxiv.org/abs/2411.05328
Autor:
Hinz, Michael, Pachon, Angelica
We study a random graph model with preferential edge attachment and detachment through the embedding into a generalized Yule model. We show that the in-degree distribution of a vertex chosen uniformly at random follows a power law in the supercritica
Externí odkaz:
http://arxiv.org/abs/2410.09974
A network epidemic model is studied. The underlying social network has two different types of group structures, households and workplaces, such that each individual belongs to exactly one household and one workplace. The random network is constructed
Externí odkaz:
http://arxiv.org/abs/2410.06696
Networks are powerful tools for modeling interactions in complex systems. While traditional networks use scalar edge weights, many real-world systems involve multidimensional interactions. For example, in social networks, individuals often have multi
Externí odkaz:
http://arxiv.org/abs/2410.05188
After the recent COVID-19 outbreaks, it became increasingly evident that individuals' thoughts and beliefs can have a strong impact on disease transmission. It becomes therefore important to understand how information and opinions on protective measu
Externí odkaz:
http://arxiv.org/abs/2409.17669