http://http://dspace.unitus.it:80 The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. Wed, 19 Jun 2013 02:34:30 GMT 2013-06-19T02:34:30Z http://hdl.handle.net/2067/1506 Title: Organization of networks with tagged nodes and biased links: A priori distinct communities. The case of intelligent design proponents and Darwinian evolution defenders Authors: Rotundo, Giulia; Ausloos, Marcel Abstract: Among the topics of opinion formation it is of interest to observe the characteristics of networks with a priori distinct communities. The citation network(s) between selected members of the Neocreationist and Intelligent Design and the Darwinian Evolution communities are unfolded through the available internet citations. The resulting adjacency matrix is not symmetric. A generalization of considerations pertaining to the case of networks with tagged nodes and biased links, directed or undirected, is presented. The main characteristic coefficients describing the structure of such networks are outlined. The structural features are discussed searching for statistical aspects of the communities. The degree distributions, each network’s assortativity, specific global and local clustering coefficients and the Average Overlap Indices are especially calculated since the distribution of elements in the rectangular submatrices represent inter-community connections. The various closed and open triangles made from nodes, distinguishing the community, are listed. The z-scores of patterns are calculated. One can distinguish between opinion leaders, followers and main rivals and briefly interpret their relationships through intuitively expected behavior in defence of an opinion. Suggestions for more elaborate models describing such communities and their subsequent structures are found in conclusions. Thu, 31 Dec 2009 23:00:00 GMT http://hdl.handle.net/2067/1506 2009-12-31T23:00:00Z http://hdl.handle.net/2067/1515 Title: Microeconomic co-evolution model for financial technical analysis signals Authors: Rotundo, Giulia; Ausloos, Marcel Abstract: Technical analysis (TA) has been used for a long time before the availability of more sophisticated instruments for financial forecasting in order to suggest decisions on the basis of the occurrence of data patterns. Many mathematical and statistical tools for quantitative analysis of financial markets have experienced a fast and wide growth and have the power for overcoming classical TA methods. This paper aims to give a measure of the reliability of some information used in TA by exploring the probability of their occurrence within a particular microeconomic agent-based model of markets, i.e., the co-evolution Bak–Sneppen model originally invented for describing species population evolutions. After having proved the practical interest of such a model in describing financial index so-called avalanches, in the prebursting bubble time rise, the attention focuses on the occurrence of trend line detection crossing of meaningful barriers, those that give rise to some usual TA strategies. The case of the NASDAQ crash of April 2000 serves as an illustration. Sun, 31 Dec 2006 23:00:00 GMT http://hdl.handle.net/2067/1515 2006-12-31T23:00:00Z http://hdl.handle.net/2067/1513 Title: Generating synthetic time series from Bak-Sneppen coevolution models Authors: Petroni, Filippo; Ausloos, Marcel; Rotundo, Giulia Abstract: The Bak–Sneppen model of co-evolution is used to derive synthetic time series with a priori specified fractal dimension (or Hurst exponent) through a mixing of processes in various lattice dimensions. Both theoretical and numerical analyses concern the avalanches at the critical threshold and provide a model for time series reconstruction that can be tested as an alternative to the classical fractional Brownian motion (fBm) because of differences in properties. New results on critical threshold and avalanche structure are obtained up to Euclidean dimension d ¼ 6. The method involves a lattice-based structure and therefore is suitable for the application of parallel computing. Sun, 31 Dec 2006 23:00:00 GMT http://hdl.handle.net/2067/1513 2006-12-31T23:00:00Z