Temat: 64.60.aq - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Bounded confidence model: addressed information maintain diversity of opinions
Autorzy:: Malarz, K.
Kułakowski, K.
Powiązania:: https://bibliotekanauki.pl/articles/1409050.pdf
Data publikacji:: 2012-02
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:: 87.23.Ge
07.05.Tp
64.60.aq
Opis:: A community of agents is subject to a stream of messages, which are represented as points on a plane of issues. Messages are sent by media and by agents themselves. Messages from media shape the public opinion. They are unbiased, i.e. positive and negative opinions on a given issue appear with equal frequencies. In our previous work, the only criterion to receive a message by an agent is if the distance between this message and the ones received earlier does not exceed the given value of the tolerance parameter. Here we introduce a possibility to address a message to a given neighbour. We show that this option reduces the unanimity effect, what improves the collective performance.
Źródło:: Acta Physica Polonica A; 2012, 121, 2B; B-86-B-88
0587-4246
1898-794X
Pojawia się w:: Acta Physica Polonica A
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Mutual Information-Based Hierarchies on Warsaw Stock Exchange
Autorzy:: Fiedor, P.
Powiązania:: https://bibliotekanauki.pl/articles/1388360.pdf
Data publikacji:: 2015-03
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:: 05.10.-a
64.60.aq
89.65.-s
89.70.-a
Opis:: A popular method for network analysis of financial markets is a notable part of econophysics research. The networks created in such efforts are focused exclusively on linear correlations between stocks. While Pearson's correlation is the obvious starting point, it would be useful to look at its alternatives as to whether they provide improvements to this methodology, particularly given Pearson's correlation coefficient considers only a limited class of association patterns. We propose to use mutual information-based hierarchical networks, as mutual information is a natural generalisation of Pearson's correlation. We estimate mutual information using naive plug-in estimator as consistent bias is not harmful to this application, however other methods may also be used. We then transform the mutual information into an Euclidean metric and create minimal spanning trees and maximally filtered planar graphs. We apply this methodology to Warsaw Stock Exchange for years between 2000 and 2013, and comment on the differences with the standard methodology, as well as the structural changes on Warsaw Stock Exchange which the study reveals.
Źródło:: Acta Physica Polonica A; 2015, 127, 3A; A-33-A-37
0587-4246
1898-794X
Pojawia się w:: Acta Physica Polonica A
Dostawca treści:: Biblioteka Nauki

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