Markov generator for the things I do in my day.

exampleData.json

[
    ["Lobby", "M Toilet", "M Toilet", "M Toilet", "Shower", "Out", "Shower", "Shower", "Coffee machine", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "Coffee machine", "Model area", "Model area", "Model area", "Model area", "Model area", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "Coffee machine", "Coffee machine", "My Desk", "My Desk", "M Toilet", "Shower", "Coffee machine", "Hug", "Hug", "Hug", "My Desk", "Resourse Bay", "Model area", "Coffee machine", "Out", "Out", "Out", "Out", "Out", "Out", "Lobby", "Reception", "Hug", "Hug", "Hug", "Hug", "My Desk", "My Desk", "My Desk", "Coffee machine", "My Desk", "Coffee machine", "Model area", "Model area", "Model area", "Coffee machine", "Out", "Out", "Out", "Out", "Out", "Out", "Out", "Shower", "Shower", "Shower", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "M Toilet", "M Toilet", "V meeting S", "Out", "Shower", "Shower", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Resourse Bay", "Training room", "Out", "Lobby", "Reception", "Meeting N", "My Desk", "My Desk", "My Desk", "Resourse Bay", "Out", "Out", "Shower", "Shower", "Shower", "V Table N", "V Table N", "V Table N", "Model area", "Coffee machine", "Coffee machine", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Model area", "Out", "Out", "Shower", "Shower", "Shower", "Shower", "Shower", "Shower", "Shower", "Shower", "Shower", "Shower", "Shower", "Shower", "Shower", "Shower", "Shower", "Out", "Lobby", "Reception", "Reception", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Resourse Bay", "Coffee machine", "My Desk", "My Desk", "My Desk", "Reception", "My Desk", "My Desk", "My Desk", "My Desk", "Reception", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library", "M Toilet", "M Toilet", "V meeting S", "V meeting S", "My Desk", "Resourse Bay", "Resourse Bay", "M Toilet", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "M Toilet", "M Toilet", "Coffee machine", "My Desk", "V meeting S", "V meeting S", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "Coffee machine", "Coffee machine", "V meeting S", "Out", "Out", "Out", "Out", "Out", "Out", "Out", "Out", "Lobby", "Reception", "Board Room", "Board Room", "Out", "Out", "Shower", "Shower", "Shower", "Shower", "Shower", "Out", "Shower", "My Desk", "My Desk", "Coffee machine", "Library", "Library Table", "Resourse Bay", "Coffee machine", "Model area", "Model area", "Model area", "My Desk", "My Desk", "My Desk", "Resourse Bay", "Resourse Bay", "Resourse Bay", "M Toilet", "M Toilet", "Coffee machine", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "My Desk", "My Desk", "V meeting S", "M Toilet", "Shower", "My Desk", "Coffee machine", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "M Toilet", "My Desk", "My Desk", "My Desk", "Reception", "Reception", "Model area", "Model area", "Model area", "Model area", "My Desk", "My Desk", "My Desk", "My Desk", "Reception", "Reception", "V Table round", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "Coffee machine", "V meeting S", "M Toilet", "Coffee machine", "Coffee machine", "Coffee machine", "Coffee machine", "My Desk", "My Desk", "Coffee machine", "Coffee machine", "Model area", "Model area", "Model area", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "Out", "Out", "Out", "Shower", "Out", "Out", "Out", "Out", "Out", "Lobby", "Reception", "Reception", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "My Desk", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "Reception", "Reception", "My Desk", "My Desk", "My Desk", "Coffee machine", "V meeting S", "V meeting S", "My Desk", "My Desk", "My Desk", "Reception", "V meeting N", "V meeting N", "Hug", "Hug", "Hug", "Hug", "Hug", "Out", "Out", "Shower", "My Desk", "My Desk", "Resourse Bay", "Training room", "Reception", "Lobby", "Out", "Out", "Out", "Out", "Out", "Shower", "Out", "Out", "Out", "Out", "Lobby", "Reception", "M Toilet", "M Toilet", "M Toilet", "V meeting S", "V meeting S", "V meeting S", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "Coffee machine", "Coffee machine", "Out", "Out", "Lobby", "Shower", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Training room", "Reception", "Model area", "Model area", "Model area", "Model area", "Model area", "Coffee machine"],
    ["Lobby", "Shower", "Shower", "Shower", "Out", "Out", "Lobby", "Reception", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "Coffee machine", "My Desk", "Reception", "V meeting N", "Model area", "Coffee machine", "Model area", "Model area", "Model area", "Coffee machine", "Model area", "Model area", "Coffee machine", "Coffee machine", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "Out", "Shower", "Out", "Lobby", "Reception", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "V meeting S", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "Coffee machine", "Out", "Shower", "Out", "Out", "Out", "Lobby", "Reception", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "My Desk", "My Desk", "V meeting S", "V meeting S", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "Coffee machine", "V Table N", "My Desk", "My Desk", "My Desk", "M Toilet", "M Toilet", "M Toilet", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Reception", "Reception", "My Desk", "My Desk", "My Desk", "My Desk", "Training room", "Training room", "Training room", "Coffee machine", "V Table N", "Out", "Out", "Out", "Lobby", "Reception", "My Desk", "My Desk", "My Desk", "Reception", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "My Desk", "Reception", "Lobby", "Out", "Lobby", "Shower", "My Desk", "My Desk", "V meeting S", "V meeting S", "Coffee machine", "Coffee machine", "V Table N", "V Table N", "Coffee machine", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Out", "Out", "Out", "Lobby", "M Toilet", "M Toilet", "V meeting S", "V meeting S", "Coffee machine", "Coffee machine", "Out", "Out", "Out", "Out", "Lobby", "Shower", "V Table N", "V Table N", "Model area", "Model area", "My Desk", "Reception", "Hug", "Hug", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Reception", "Coffee machine", "Hug", "Hug", "Hug", "Hug", "Out", "Out", "Out", "Out", "Out", "Shower", "Shower", "Out", "Lobby", "M Toilet", "V meeting S", "Coffee machine", "Model area", "Model area", "Model area", "Coffee machine", "Coffee machine", "Coffee machine", "Library", "Library", "Out", "Out", "Lobby", "Shower", "My Desk", "Resourse Bay", "Resourse Bay", "Resourse Bay", "Resourse Bay", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "My Desk", "My Desk", "My Desk", "My Desk", "Coffee machine", "Model area", "Model area", "Model area", "Coffee machine", "Model area", "Model area", "Model area", "Model area", "Model area", "Coffee machine", "My Desk", "Coffee machine", "Model area", "Model area", "Model area", "My Desk", "Resourse Bay", "Resourse Bay", "Resourse Bay", "Resourse Bay", "Library", "Library", "Library", "Library", "M Toilet", "M Toilet", "M Toilet", "My Desk", "Resourse Bay", "Resourse Bay", "Resourse Bay", "Resourse Bay", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Out", "Out", "Out", "Lobby", "Reception", "Model area", "Model area", "Model area", "Model area", "Coffee machine", "My Desk", "My Desk", "My Desk", "Library", "Library", "Library", "Library", "Library", "Library", "Library Table", "Library", "Library", "Library", "My Desk", "My Desk", "My Desk", "Resourse Bay", "V meeting N", "V meeting N", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "Shower", "Shower", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Resourse Bay", "Resourse Bay", "Library", "Library Table", "Library Table", "Library Table", "Library", "Library", "Library", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Out", "Out", "Out", "Lobby", "Out", "M Toilet", "M Toilet", "Coffee machine", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "V meeting S", "Out", "Out", "Out", "Out", "Shower", "Out", "Out", "Shower", "Shower", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Coffee machine", "My Desk", "My Desk", "My Desk", "Library", "Library", "Library", "My Desk", "My Desk", "My Desk", "My Desk", "Coffee machine", "V Table N", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "My Desk", "My Desk", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "Training room", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "My Desk", "Resourse Bay", "Model area", "Model area", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Library Table", "Library Table"],
    ["Lobby", "M Toilet", "M Toilet", "My Desk", "My Desk", "My Desk", "V meeting S", "Out", "Out", "Shower", "Shower", "Shower", "Out", "Shower", "M Toilet", "My Desk", "My Desk", "My Desk", "My Desk", "Coffee machine", "Coffee machine", "V Table N", "Model area", "Coffee machine", "V Table N", "Coffee machine", "Hug", "Hug", "My Desk", "My Desk", "My Desk", "My Desk", "Coffee machine", "My Desk", "V meeting S", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "Library Table", "M Toilet", "My Desk", "My Desk", "Coffee machine", "Hug", "My Desk", "My Desk", "My Desk", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "M Toilet", "Out", "Out", "Shower", "Shower", "My Desk", "My Desk", "V meeting S", "V meeting S", "Coffee machine", "My Desk", "Training room", "Training room", "Reception", "Lobby", "Reception", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "Coffee machine", "Out", "Out", "Lobby", "Shower", "My Desk", "My Desk", "My Desk", "V meeting S", "M Toilet", "M Toilet", "Coffee machine", "Hug", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "Coffee machine", "Model area", "My Desk", "My Desk", "My Desk", "Library Table", "Library Table", "Library", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Reception", "Reception", "Board Room", "Board Room", "Board Room", "Out", "Out", "Out", "Out", "Lobby", "Out", "Out", "Out", "Out", "Out", "Out", "Out", "Shower", "Shower", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Resourse Bay", "Reception", "Hug", "Hug", "Hug", "Out", "Lobby", "Reception", "Reception", "Coffee machine", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "My Desk", "My Desk", "My Desk", "Reception", "V Table round", "My Desk", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "My Desk", "V meeting S", "Out", "Out", "Out", "Out", "Out", "Out", "Out", "Out", "Shower", "Shower", "Shower", "Coffee machine", "V meeting S", "V meeting S", "Out", "Lobby", "Reception", "V meeting S", "Coffee machine", "Out", "Out", "Board Room", "Board Room", "V meeting S", "V meeting S", "V meeting S", "M Toilet", "M Toilet", "M Toilet", "Out", "Out", "Out", "Out", "Lobby", "Shower", "Shower", "Shower", "My Desk", "My Desk", "Coffee machine", "My Desk", "My Desk", "Library", "Library", "Library", "Library", "Library", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Resourse Bay", "Resourse Bay", "Reception", "My Desk", "My Desk", "My Desk", "Board Room", "Board Room", "Board Room", "Board Room", "Board Room", "Board Room", "Board Room", "Reception", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "My Desk", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library Table", "Library", "Library", "Library", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Library Table", "Library Table", "Library Table", "Out", "Out", "Shower", "Shower", "Shower", "Shower", "Coffee machine", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "Coffee machine", "My Desk", "V meeting S", "V meeting S", "V meeting S", "My Desk", "My Desk", "V meeting S", "V meeting S", "Out", "Out", "Out", "Out", "Shower", "Shower", "Coffee machine", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Out", "Out", "Out", "Out", "Lobby", "Shower", "V Table N", "Model area", "Model area", "Model area", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "Coffee machine", "My Desk", "My Desk", "Reception", "Board Room", "Reception", "Model area", "M Toilet", "M Toilet", "V meeting S", "Out", "Out", "Out", "Out", "Out", "Shower", "Out", "Shower", "Shower", "Out", "Out", "Out", "Out", "Shower", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "Coffee machine", "Model area", "Model area", "Model area", "Coffee machine", "My Desk", "Coffee machine", "Library", "Quiet N", "My Desk", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "My Desk", "Board Room", "Board Room", "Board Room", "V meeting S", "Coffee machine", "Coffee machine", "Coffee machine", "Coffee machine", "Model area", "Coffee machine", "My Desk", "My Desk", "My Desk", "M Toilet", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "Coffee machine", "My Desk", "Board Room", "Reception", "Meeting N", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "Out", "Out", "Out", "Shower", "Coffee machine", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "M Toilet", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Resourse Bay"],
    ["Lobby", "Model area", "Model area", "Model area", "Model area", "Coffee machine", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "Hug", "My Desk", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "Coffee machine", "Model area", "Model area", "Model area", "Model area", "Model area", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "Out", "Out", "Out", "Out", "Shower", "Shower", "V Table N", "V Table N", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Library Table", "Library Table", "Out", "Out", "Out", "Out", "Out", "Out", "Out", "Out", "Out", "Lobby", "Shower", "Shower", "Shower", "Coffee machine", "Hug", "Hug", "Hug", "Hug", "Hug", "My Desk", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "Out", "Out", "Lobby", "Resourse Bay", "Resourse Bay", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "V meeting N", "Model area", "My Desk", "My Desk", "V meeting S", "Coffee machine", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "V meeting S", "Out", "Out", "Lobby", "Reception", "Reception", "Hug", "Hug", "Hug", "Hug", "Hug", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Library", "Library", "Library Table", "Library Table", "Library Table", "Library", "Coffee machine", "Coffee machine", "V meeting S", "V meeting S", "Coffee machine", "Coffee machine", "Coffee machine", "Model area", "Model area", "Model area", "Model area", "Model area", "Model area", "Coffee machine", "Coffee machine", "Model area", "Model area", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "My Desk", "Coffee machine", "V Table N", "My Desk", "My Desk", "My Desk", "Reception", "Meeting N", "Meeting N", "Meeting N", "Meeting N", "Meeting N", "Meeting N", "My 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]

explanation.md

Given a spreadsheet of state transition probabilities this will start in a given place, and then in a weighted, random way it choses a new state.

There is a diagonal through the matrix, that's the probability of staying in the same place. I.e. if I'm at my desk, there's a high probablity that I'll stay there.

It's a stepped thing, there is a possibility of a state transition once a minute. The time chunks could be stretched, but you'd need to adjust the probabilities or you just scale the whole thing.

This will eventually need to be a 3d matrix with a time of day dimension.

markovater.py

from collections import Counter
from StringIO import StringIO
import json
import numpy as np
import pandas as pd
import requests

#the state transition matrix lives in a google spreadsheet. This goes to get it, then parses it into a pandas dataframe.
r = requests.get('https://docs.google.com/spreadsheets/d/1njYra2wdGLKFw49qRWP57DtcyEgs7tQ6NnXPgOivLp4/pub?gid=436853951&single=true&output=csv')
data = r.content
stateTable = pd.read_csv(StringIO(data))

#trim off the unecesary columns
stateTable.drop(stateTable.columns[[0,1]], 1, inplace=True)
# print stateTable.head()

states = list(stateTable.columns.values)

armyOfMeArray = []
armySize = 10 #make n potential days
lobby = 9 #index of lobby
numOfTimePeriods = 60*8


for j in range(armySize): # for each person-day
    currentState = lobby
    stateList = [states[currentState]]
    for i in range(numOfTimePeriods):  # for each time period
        rawRowState = sum(stateTable.values[currentState])
        weights = list(stateTable.values[currentState]/rawRowState)
        nextState =  np.random.choice(states, 1, p=weights)
        currentState = states.index(nextState[0])
        stateList.append( nextState[0] )

    armyOfMeArray.append(stateList)
    print Counter(stateList)

meJSON = json.dumps(armyOfMeArray)
#setup to write to a document
armyOfMe = open("armyOfMe.json", 'w')
armyOfMe.write(meJSON)