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Wyszukujesz frazę "87.23.Ge" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
Modeling of the Parties Vote Share Distributions
Autorzy:
Kononovicius, A.
Powiązania:
https://bibliotekanauki.pl/articles/1029582.pdf
Data publikacji:
2018-06
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
89.65.Gh
87.23.Ge
Opis:
Competition between varying ideas, people and institutions fuels the dynamics of socio-economic systems. Numerous analyses of the empirical data extracted from different financial markets have established a consistent set of stylized facts describing statistical signatures of the competition in the financial markets. Having an established and consistent set of stylized facts helps to set clear goals for theoretical models to achieve. Despite similar abundance of empirical analyses in sociophysics, there is no consistent set of stylized facts describing the opinion dynamics. In this contribution we consider the parties' vote share distributions observed during the Lithuanian parliamentary elections. We show that most of the time empirical vote share distributions could be well fitted by numerous different distributions. While discussing this peculiarity we provide arguments, including a simple agent-based model, on why the beta distribution could be the best choice to fit the parties' vote share distributions.
Źródło:
Acta Physica Polonica A; 2018, 133, 6; 1450-1458
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Impact of social interactions on demand curves for innovative products
Autorzy:
Maciejowska, K.
Jędrzejewski, A.
Kowalska-Pyzalska, A.
Weron, R.
Powiązania:
https://bibliotekanauki.pl/articles/1075443.pdf
Data publikacji:
2016-05
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
89.65.Gh
87.23.Ge
Opis:
Empirical studies suggest that word-of-mouth strongly influences the innovation diffusion process and is responsible for the "S" shape of the adoption curve. However, it is not clear how word-of-mouth affects demand curves for innovative products and strategic decisions of producers. Using an agent-based model of innovation diffusion, which links consumer opinions with reservation prices, we show that a relatively strong word-of-mouth effect can lead to the creation of two separated price-quantity regimes, with a nonlinear transition between them. A small shift of the product's market price can result in a drastic change of the demanded quantity and, hence, the revenues of a firm. Using Monte Carlo simulations and mean-field treatment we demonstrate that word-of-mouth may have ambiguous consequences and should be taken into account when designing marketing strategies.
Źródło:
Acta Physica Polonica A; 2016, 129, 5; 1045-1049
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Linking Consumer Opinions with Reservation Prices in an Agent-Based Model of Innovation Diffusion
Autorzy:
Kowalska-Pyzalska, A.
Ćwik, K.
Jędrzejewski, A.
Sznajd-Weron, K.
Powiązania:
https://bibliotekanauki.pl/articles/1398895.pdf
Data publikacji:
2016-05
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
89.65.Gh
87.23.Ge
Opis:
We extend a recently developed agent-based model of innovation diffusion by linking the opinions of potential consumers with their market behavior via the concept of reservation prices. Through a dynamic mechanism that takes into account social influence, the agents in our model can both increase or decrease their product appraisal. Considering complete graph network structures and using mean-field treatment we find that the model can exhibit a plethora of scenarios, observed empirically but not attainable within the classical Bass model. We also show the existence of a critical market price above which the innovation cannot diffuse.
Źródło:
Acta Physica Polonica A; 2016, 129, 5; 1055-1059
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Cluster Expansion Method for Evolving Weighted Networks Having Vector-Like Nodes
Autorzy:
Ausloos, M.
Gligor, M.
Powiązania:
https://bibliotekanauki.pl/articles/1812216.pdf
Data publikacji:
2008-09
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
89.75.Fb
89.65.Gh
89.75.Hc
87.23.Ge
Opis:
The cluster variation method known in statistical mechanics and condensed matter is revived for weighted bipartite networks. The decomposition (or expansion) of a Hamiltonian through a finite number of components, whence serving to define variable clusters, is recalled. As an illustration the network built from data representing correlations between (4) macroeconomic features, i.e. the so-called vector components, of 15 EU countries, as (function) nodes, is discussed. We show that statistical physics principles, like the maximum entropy criterion points to clusters, here in a (4) variable phase space: Gross Domestic Product, Final Consumption Expenditure, Gross Capital Formation and Net Exports. It is observed that the maximum entropy corresponds to a cluster which does not explicitly include the Gross Domestic Product but only the other (3) "axes", i.e. consumption, investment and trade components. On the other hand, the minimal entropy clustering scheme is obtained from a coupling necessarily including Gross Domestic Product and Final Consumption Expenditure. The results confirm intuitive economic theory and practice expectations at least as regards geographical connexions. The technique can of course be applied to many other cases in the physics of socio-economy networks.
Źródło:
Acta Physica Polonica A; 2008, 114, 3; 491-499
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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