Zobrazeno 1 - 10
of 37
pro vyhledávání: '"91D30 (Primary)"'
We analyze the Bass and SI models for the spreading of innovations and epidemics, respectively, on homogeneous complete networks, circular networks, and heterogeneous complete networks with two homogeneous groups. We allow the network parameters to b
Externí odkaz:
http://arxiv.org/abs/2407.10816
Opinion dynamics models are important in understanding and predicting opinion formation processes within social groups. Although the weighted-averaging opinion-update mechanism is widely adopted as the micro-foundation of opinion dynamics, it bears a
Externí odkaz:
http://arxiv.org/abs/2404.16318
Autor:
Batagelj, Vladimir
Large bibliographic networks are sparse -- the average node degree is small. This is not necessarily true for their product -- in some cases, it can ``explode'' (it is not sparse, increases in time and space complexity). An approach in such cases is
Externí odkaz:
http://arxiv.org/abs/2401.04726
Autor:
Batagelj, Vladimir
The standard and fractional projections are extended from binary two-mode networks to weighted two-mode networks. Some interesting properties of the extended projections are proved.
Externí odkaz:
http://arxiv.org/abs/2307.07656
The position value, introduced by Meessen (1988), is a solution concept for cooperative games in which the value assigned to a player depends on the value of the connections or links he has with other players. This concept has been studied by Borm et
Externí odkaz:
http://arxiv.org/abs/2303.00695
Autor:
Kann, Claudia, Feng, Michelle
Collective opinions affect civic participation, governance, and societal norms. Due to the influence of opinion dynamics, many models of their formation and evolution have been developed. A commonly used approach for the study of opinion dynamics is
Externí odkaz:
http://arxiv.org/abs/2301.02210
We introduce a new method for proving the convergence and the rate of convergence of discrete Bass models on various networks to their respective compartmental Bass models, as the population size $M$ becomes infinite. In this method, the full set of
Externí odkaz:
http://arxiv.org/abs/2210.04011
Autor:
Nakajima, Kazuki, Shudo, Kazuyuki
Accurately analyzing graph properties of social networks is a challenging task because of access limitations to the graph data. To address this challenge, several algorithms to obtain unbiased estimates of properties from few samples via a random wal
Externí odkaz:
http://arxiv.org/abs/2006.12196
Autor:
Hansen, Jakob, Ghrist, Robert
We introduce a novel class of Laplacians and diffusion dynamics on discourse sheaves as a model for network dynamics, with application to opinion dynamics on social networks. These sheaves are algebraic data structures tethered to a network (or more
Externí odkaz:
http://arxiv.org/abs/2005.12798
Publikováno v:
Networks & Heterogeneous Media, Vol. 14, No. 1, pp. 53-77 (2019)
Successfully integrating newcomers into native communities has become a key issue for policy makers, as the growing number of migrants has brought cultural diversity, new skills, and at times, societal tensions to receiving countries. We develop an a
Externí odkaz:
http://arxiv.org/abs/1901.09396