Package for running metapopulation simulations
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Updated
Jan 20, 2017 - R
Package for running metapopulation simulations
This Shiny R application serves the purpose of visualizing and comparing various free-scale and random growing graphs. Application made as part of the TquanT 2018 seminar on quantitative thinking.
Drawing networks as chord diagrams in R.
Papers reviews and book notes throughout my PhD are available here:
Repository of the article: A synthesis of animal-mediated seed dispersal of palms reveals distinct biogeographic differences in species interactions
Fitting and model checking a dynamic model for directed scale-free networks on a bitcoin network dataset.
the direct probabilistic pairing method for generation of synthetic populations
Analysis code for a manuscript on community similarity computation
Enhancing Boolean networks with continuous logical operators and edge tuning: smoothing simulations
Construction of weighted topological overlap (wTO) matrices based on networks
A web based tool developed using the R package shiny to explore a Chlamydomonas reinhardtii gene co-expression network
Code for "Relationships between childhood trauma and subjective experiences of stress in the general population: a network perspective", Psychological Medicine, 2020.
Functions for creating and analyzing word co-occurrence networks in Python and R
Source material for "Relatedness, Complexity and Local Growth"
How to format a matrix in R to be used in different network programs.
Crosswalk between New Zealand area units and functional labour market areas
A collection of tools for measuring individual specialization in the use of space by organisms.
Code for "General Psychopathology Links Burden of Recent Life Events and Psychotic Symptoms in a Network Approach", npj Schizophrenia, 2020.
SEEDNet: Satellite Enhanced Epidemic Disease Network
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