13. 13
Behind a complex system
there is a network,
that defines the interactions
between the components
We cannot understand
complex systems unless
we map out and understand
the networks behind them
why
now?
20. 20
Measures
• Global metrics (system structure)
– average measures, global metrics
(density, diameter, etc.), functional form
of distributions
– clusters, communities, hierarchies etc.
• Local metrics (nodal characteristics)
– centrality: the relative importance of a
node within the graph
– connectivity characteristics of self and
neighbors
• Numerical simulations for dynamic
processes
– growth, information diffusion, opinion
formation, resilience …
Statistical physics
Graph theory
Statistics
Computer science
Social network theory
plus
Economics, Biology, Arts, Neuroscience, Demography,
History, Psychology, Engineering, Sociology,
Geography, Architecture, Politics, Ecology, Physics, …
a truly interdisciplinary effort
30. 30
Tourism destination: digital business ecosystem
– dynamically interlinked real and virtual agents
– digital components are intelligent, active & adaptive
– system is in continuous evolution (perpetual beta)
Digital ecosystems
Tourism digital ecosystem
Strong structural coupling
Livigno
31. 31
Final remarks
• Tourism systems are adaptive
systems & need to be studied as such
• Methods & techniques to measure,
model and interpret behaviors &
phenomena are available
• Appealing from a theoretical
point of view
• Can become an interesting tool to
assist practical endeavors
and…
makes fun!
(remember Richard Feynman)
ENTER 2015 PhD Workshop Slide Number 62
References
www.iby.it/tourism