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NetLogo User Community Models(back to the NetLogo User Community Models)
## WHAT IS IT?
A model of house improving process (consolidation), represented through diffusion within a network, which replicates interactions between householders and social influence in decision to upgrade.
## HOW IT WORKS
SIRS model of epidemic diffusion is used to replicate social influence across the process of consolidation within the space of a given housing block that is represented by a grid space. Algorithm is based on Stonedahl and Wilenski Netlogo Virus on a Network model (2008).
## HOW TO USE IT
A random distribution of house and corresponding states is loaded using SETUP button, they represents 4 state conditions and configuration of block grid space; the number of houses in each state can be selected by using the sliders. Once initial configuration is done, the operational settings should be specified according to SIRS fashion; Spread Chance, Recovery Chance and Resistance Chance sliders are the probability of upgrade, probability of continue upgrading and probability of keeping the same state as taken from empirical observations at house scale.
## THINGS TO NOTICE
Once initial setting are defined model runs and show grid configuration change and trajectories of change in state.
## THINGS TO TRY
Composition matrix could be imported, representon any given condition that is going to be tested or replicaqted.
## EXTENDING THE MODEL
Model is intended to be generalizable to the whole range of conditions observed within informal development. However, it could be improved by adding an component that considers family growing within each grid, reflecting demographic patterns or housing needs that are credited to be influencing decision to upgrade the house.
## NETLOGO FEATURES
Data input imports initial house state composition and configuration within the block from cvs files.
## RELATED MODELS
Model 69 by Victor Peña-Guillen (2017) located into Netlogo User Community http://ccl.northwestern.edu/netlogo/models/community/block69 is a related model that use cellular automata and a simple updating rule to replicate and investigate dynamic nature of house consolidation.
Stonedahl, F. and Wilensky, U. (2008). NetLogo Virus on a Network model. http://ccl.northwestern.edu/netlogo/models/VirusonaNetwork. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. |
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