@article{(Open Science Index):https://publications.waset.org/pdf/9998904,
	  title     = {A Sociocybernetics Data Analysis Using Causality in Tourism Networks},
	  author    = {M. Lloret-Climent and  J. Nescolarde-Selva},
	  country	= {},
	  institution	= {},
	  abstract     = {The aim of this paper is to propose a mathematical
model to determine invariant sets, set covering, orbits and, in
particular, attractors in the set of tourism variables. Analysis was
carried out based on a pre-designed algorithm and applying our
interpretation of chaos theory developed in the context of General
Systems Theory. This article sets out the causal relationships
associated with tourist flows in order to enable the formulation of
appropriate strategies. Our results can be applied to numerous cases.
For example, in the analysis of tourist flows, these findings can be
used to determine whether the behaviour of certain groups affects that
of other groups and to analyse tourist behaviour in terms of the most
relevant variables. Unlike statistical analyses that merely provide
information on current data, our method uses orbit analysis to
forecast, if attractors are found, the behaviour of tourist variables in
the immediate future.
},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {8},
	  number    = {8},
	  year      = {2014},
	  pages     = {2379 - 2385},
	  ee        = {https://publications.waset.org/pdf/9998904},
	  url   	= {https://publications.waset.org/vol/92},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 92, 2014},
	}