{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Aragon Conviction Voting Model - Version 2\n",
    "\n",
    "New to this model are the following elements:\n",
    "\n",
    "* Influence - Participant social network where participants influence each others perception of a a proposal.\n",
    "* Conflict - A network with the notion of supporting one proposal may mean going against an alternative proposal. For proposals with conflicts, an edge is created between them with a function to calculate the degree of conflict.\n",
    "* Sentiment - Participant sentiment\n",
    "* Updated trigger function to better represent 1Hive's implementation\n",
    "* Updated plotting\n",
    "* Updated affinity distribution to between -1, 1\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# An Introduction to Conviction Voting\n",
    "\n",
    "Conviction Voting is an approach to organizing a communities preferences into discrete decisions in the management of that communities resources. Strictly speaking conviction voting is less like voting and more like signal processing. Framing the approach and the initial algorithm design was done by Michael Zargham and published in a short research proposal [Social Sensor Fusion](https://github.com/BlockScience/conviction/blob/master/social-sensorfusion.pdf). This work is based on a dynamic resource allocation algorithm presented in Zargham's PhD Thesis.\n",
    "\n",
    "The work proceeded in collaboration with the Commons Stack, including expanding on the pythin implementation to makeup part of the Commons Simulator game. An implemention of Conviction Voting as a smart contract within the Aragon Framework was developed by 1hive.org and is currently being used for community decision making around allocations their community currency, Honey.\n",
    "\n",
    "\n",
    "## The Word Problem\n",
    "\n",
    "Suppose a group of people want to coordinate to make a collective decision. Social dynamics such as discussions, signaling, and even changing ones mind based on feedback from others input play an important role in these processes. While the actual decision making process involves a lot of informal processes, in order to be fair the ultimate decision making process still requires a set of formal rules that the community collecively agrees to, which serves to functionally channel a plurality of preferences into a discrete outcomes. In our case we are interested in a procedure which supports asynchronous interactions, an provides visibility into likely outcomes prior to their resolution to serve as a driver of good faith, debate and healthy forms of coalition building. Furthermore, participations should be able to show support for multiple initiatives, and to vary the level of support shown. Participants a quantity of signaling power which may be fixed or variable, homogenous or heterogenous. For the purpose of this document, we'll focus on the case where the discrete decisions to be made are decisions to allocate funds from a shared funding pool towards projects of interest to the community.\n",
    "\n",
    "## Converting to a Math Problem\n",
    "\n",
    "Let's start taking these words and constructing a mathematical representation that supports a design that meets the description above. To start we need to define participants.\n",
    "\n",
    "### Participants\n",
    "Let $\\mathcal{A}$ be the set of participants. Consider a participant $a\\in \\mathcal{A}$. Any participant $a$ has some capacity to participate in the voting process $h[a]$. In a fixed quantity, homogenous system $h[a] = h$ for all $a\\in \\mathcal{A}$ where $h$ is a constant. The access control process managing how one becomes a participant determines the total supply of \"votes\" $S = \\sum_{a\\in \\mathcal{A}} = n\\cdot h$ where the number of participants is $n = |\\mathcal{A}|$. In a smart contract setting, the set $\\mathcal{A}$ is a set of addresses, and $h[a]$ is a quantity of tokens held by each address $a\\in \\mathcal{A}$. \n",
    "\n",
    "### Proposals & Shares Resources\n",
    "Next, we introduce the idea of proposals.  Consider a proposal $i\\in \\mathcal{C}$. Any proposal $i$ is associated with a request for resources $r[i]$. Those requested resources would be allocated from a constrained pool of communal resources currently totaling $R$. The pool of resources may become depleted because when a proposal $i$ passes $R^+= R-r[i]$. Therefore it makes sense for us to consider what fraction of the shared resources are being request $\\mu_i = \\frac{r[i]}{R}$, which means that thre resource depletion from passing proposals can be bounded by requiring $\\mu_i < \\mu$ where $\\mu$ is a constant representing the maximum fraction of the shared resources which can be dispersed by any one proposal. In order for the system to be sustainable a source of new resources is required. In the case where $R$ is funding, new funding can come from revenues, donations, or in some DAO use cases minting tokens.\n",
    "\n",
    "### Participants Preferences for Proposals\n",
    "\n",
    "Most of the interesting information in this system is distributed amongst the participants and it manifests as preferences over the proposals. This can be thought of as a matrix $W\\in \\mathbb{R}^{n \\times m}$.\n",
    "![Replace this later](https://i.imgur.com/vxKNtxi.png)\n",
    "\n",
    "These private hidden signals drive discussions and voting actions. Each participant individually decides how to allocate their votes across the available proposals. Participant $a$ supports proposal $i$ by setting $x[a,i]>0$ but they are limited by their capacity $\\sum_{k\\in \\mathcal{C}} x[a,k] \\le h[a]$.  Assuming each participant chooses a subset of the proposals to support, a support graph is formed.\n",
    "![](https://i.imgur.com/KRh8tKn.png)\n",
    "\n",
    "## Aggregating Information\n",
    "\n",
    "In order to break out of the synchronous voting model, a dynamical systems model of this system is introduced.\n",
    "\n",
    "### Participants Allocate Voting Power\n",
    "![](https://i.imgur.com/DZRDwk6.png)\n",
    "\n",
    "### System Accounts Proposal Conviction\n",
    "![](https://i.imgur.com/euAei5R.png)\n",
    "\n",
    "### Understanding Alpha\n",
    "* https://www.desmos.com/calculator/x9uc6w72lm\n",
    "* https://www.desmos.com/calculator/0lmtia9jql\n",
    "\n",
    "\n",
    "## Converting Signals to Discrete Decisions\n",
    "\n",
    "Conviction as kinetic energy and Trigger function as required activation energy.\n",
    "\n",
    "### The Trigger Function\n",
    "\n",
    "https://www.desmos.com/calculator/yxklrjs5m3\n",
    "\n",
    "Below we show a sweep of the trigger function threshold:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for reference: max conviction = 5.239669785665982in log10 units\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/aclarkdata/anaconda3/lib/python3.7/site-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
      "  import pandas.util.testing as tm\n"
     ]
    }
   ],
   "source": [
    "from model.model.conviction_helper_functions import *\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "beta = .2 #later we should set this to be param so we can sweep it\n",
    "# tuning param for the trigger function\n",
    "rho = .001\n",
    "#alpha = 1 - 0.9999599 #native timescale for app as in contract code\n",
    "alpha = 1-.5**3 #timescale set in days with 3 day halflife (from comments in contract comments)\n",
    "supply= 21706 \n",
    "\n",
    "mcv = supply/(1-alpha)\n",
    "print('for reference: max conviction = '+str(np.log10(mcv))+'in log10 units')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "supply_sweep = trigger_sweep('effective_supply',trigger_threshold,beta,rho,alpha, supply)\n",
    "alpha_sweep = trigger_sweep('alpha',trigger_threshold,beta,rho,alpha, supply)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trigger_grid(supply_sweep, alpha_sweep)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Resolving Passed Proposals\n",
    "\n",
    "![image](.\\images\\stockflow_cv_trigger.png)\n",
    "\n",
    "\n",
    "## Social Systems Modeling\n",
    "\n",
    "Subjective, exploratory modeling of the social system interacting through the conviction voting algorithm.\n",
    "\n",
    "### Sentiment\n",
    "\n",
    "Global Sentiment -- the outside world appreciating the output of the community\n",
    "Local Sentiment -- agents within the system feeling good about the community\n",
    "\n",
    "### Social Networks\n",
    "\n",
    "Preferences as mixing process (social influence)\n",
    "\n",
    "### Relationships between Proposals\n",
    "\n",
    "Some proposals are synergistic (passing one makes the other more desireable)\n",
    "Some proposals are (parially) substitutable (passing one makes the other less desirable)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## cadCAD Overview\n",
    "\n",
    "In the cadCAD simulation [methodology](https://community.cadcad.org/t/differential-specification-syntax-key/31), we operate on four layers: **Policies, Mechanisms, States**, and **Metrics**. Information flows do not have explicit feedback loop unless noted. **Policies** determine the inputs into the system dynamics, and can come from user input, observations from the exogenous environment, or algorithms. **Mechanisms** are functions that take the policy decisions and update the States to reflect the policy level changes. **States** are variables that represent the system quantities at the given point in time, and **Metrics** are computed from state variables to assess the health of the system. Metrics can often be thought of as KPIs, or Key Performance Indicators. \n",
    "\n",
    "At a more granular level, to setup a model, there are system conventions and configurations that must be [followed.](https://community.cadcad.org/t/introduction-to-simulation-configurations/34)\n",
    "\n",
    "The way to think of cadCAD modeling is analogous to machine learning pipelines which normally consist of multiple steps when training and running a deployed model. There is preprocessing, which includes segregating features between continuous and categorical, transforming or imputing data, and then instantiating, training, and running a machine learning model with specified hyperparameters. cadCAD modeling can be thought of in the same way as states, roughly translating into features, are fed into pipelines that have built-in logic to direct traffic between different mechanisms, such as scaling and imputation. Accuracy scores, ROC, etc. are analogous to the metrics that can be configured on a cadCAD model, specifying how well a given model is doing in meeting its objectives. The parameter sweeping capability of cadCAD can be thought of as a grid search, or way to find the optimal hyperparameters for a system by running through alternative scenarios. A/B style testing that cadCAD enables is used in the same way machine learning models are A/B tested, except out of the box, in providing a side by side comparison of muliple different models to compare and contrast performance. Utilizing the field of Systems Identification, dynamical systems models can be used to \"online learn\" by providing a feedback loop to generative system mechanisms. \n",
    "\n",
    "\n",
    "## Differential Specification \n",
    "![](images/Aragon_v2.png)\n",
    "\n",
    "## Schema of the states \n",
    "The model consists of a temporal in memory graph database called *network* containing nodes of type **Participant** and type **Proposal**. Participants will have *holdings* and *sentiment* and Proposals will have *funds_required, status*(candidate or active), *conviction* Tthe model as three kinds of edges:\n",
    "* (Participant, participant), we labeled this edge type \"influencer\" and it contains information about how the preferences and sentiment of one participant influence another \n",
    "* (Proposal, Proposal), we labeled this edge type \"conflict\" and it contains information about how synergistic or anti-synergistic two proposals are; basically people are likely to support multiple things that have synergy (meaning once one is passed there is more utility from the other) but they are not likely to pass things that have antisynergy (meaning once one is passed there is less utility from the other).\n",
    "* The edges between Participant and Proposal, which are described below.\n",
    "    \n",
    "\n",
    "Edges in the network go from nodes of type Participant to nodes of type Proposal with the edges having the key *type*, of which all will be set to *support*. Edges from participant $i$ to proposal $j$ will have the following additional characteristics:\n",
    "* Each pairing (i,j) will have *affinity*, which determines how much $i$ likes or dislikes proposal $j$.\n",
    "* Each participant $i$, assigns its $tokens$ over the edges (i,j) for all $j$ such that the summation of all $j$ such that ```Sum_j = network.edges[(i,j)]['tokens'] = network.nodes[i]['holdings']```. This value of tokens for participants on proposals must be less than or equal to the total number of tokens held by the participant.\n",
    "* Each pairing (i,j) will have *conviction* local to that edge whose update at each timestep is computed using the value of *tokens* at that edge.\n",
    "* Each proposal *j* will have a *conviction* which is equal to the sum of the conviction on its inbound edges: ```network.nodes[j]['conviction'] = Sum_i  network.edges[(i,j)]['conviction']```. \n",
    "\n",
    "\n",
    "The other state variable in the model is *funds*, which is a numpy floating point. \n",
    "\n",
    "The system consists of 100 time steps without a parameter sweep or monte carlo.\n",
    "\n",
    "\n",
    "## Partial State Update Blocks\n",
    "\n",
    "Each partial state update block is kind of a like a phase in a phased based board game. Everyone decides what to do and it reconciles all decisions. One timestep is a full turn, with each block being a phase of a timestep or turn. We will walk through the individaul Partial State update blocks one by one below."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "{\n",
    "# system.py: \n",
    "'policies': { \n",
    "    'random': driving_process\n",
    "},\n",
    "'variables': {\n",
    "    'network': update_network,\n",
    "    'funds':increment_funds,\n",
    "}\n",
    "```\n",
    "\n",
    "To simulate the arrival of participants and proposal into the system, we have a driving process to represent the arrival of individual agents. We use a random uniform distribution generator, over [0, 1), to calculate the number of new participants. We then use an exponential distribution to calculate the particpant's tokens by using a loc of 0.0 and a scale of expected holdings, which is calculated by .1*supply/number of existing participants. We calculate the number of new proposals by     \n",
    "```\n",
    "proposal_rate = 1/median_affinity * (1+total_funds_requested/funds)\n",
    "rv2 = np.random.rand()\n",
    "new_proposal = bool(rv2<1/proposal_rate)\n",
    "```\n",
    "The network state variable is updated to include the new participants and proposals, while the funds state variable is updated for the increase in system funds. \n",
    "[To see the partial state update code, click here](model/model/system.py)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "{\n",
    "  # participants.py   \n",
    "  'policies': {\n",
    "      'completion': check_progress \n",
    "    },\n",
    "    'variables': { \n",
    "        'sentiment': update_sentiment_on_completion, #not completing projects decays sentiment, completing bumps it\n",
    "        'network': complete_proposal\n",
    "    }\n",
    "},\n",
    "```\n",
    "\n",
    "In the next phase of the turn, [to see the logic code, click here](model/model/participants.py), the *check_progress* behavior checks for the completion of previously funded proposals. The code calculates the completion and failure rates as follows:\n",
    "\n",
    "```\n",
    "likelihood = 1.0/(base_completion_rate+np.log(grant_size))\n",
    "\n",
    "failure_rate = 1.0/(base_failure_rate+np.log(grant_size))\n",
    "if np.random.rand() < likelihood:\n",
    "    completed.append(j)\n",
    "elif np.random.rand() < failure_rate:\n",
    "    failed.append(j)\n",
    "```\n",
    "With the base_completion_rate being 100 and the base_failure_rate as 200. \n",
    "\n",
    "The mechanism then updates the respective *network* nodes and updates the sentiment variable on proposal completion. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "  # proposals.py\n",
    "  'policies': {\n",
    "      'release': trigger_function \n",
    "    },\n",
    "    'variables': { \n",
    "        'funds': decrement_funds, \n",
    "        'sentiment': update_sentiment_on_release, #releasing funds can bump sentiment\n",
    "        'network': update_proposals \n",
    "    }\n",
    "},\n",
    " ```\n",
    " \n",
    "The [trigger release function](model/model/proposals.py) checks to see if each proposal passes or not. If a proposal passes, funds are decremented by the amount of the proposal, while the proposal's status is changed in the network object."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "{ \n",
    "    # participants.py\n",
    "    'policies': { \n",
    "        'participants_act': participants_decisions\n",
    "    },\n",
    "    'variables': {\n",
    "        'network': update_tokens \n",
    "    }\n",
    "}\n",
    "```\n",
    "\n",
    "The Participants decide based on their affinity if which proposals they would like to support,[to see the logic code, click here](model/model/participants.py). Proposals that participants have high affinity for receive more support and pledged tokens than proposals with lower affinity and sentiment. We then update everyone's holdings and their conviction for each proposal.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model next steps\n",
    "\n",
    "The the model described above is the second iteration model that covers the core mechanisms of the Aragon Conviction Voting model. Below are next additional dynamics we can attend to enrich the model, and provide workstreams for subsequent iterations of this lab notebook.\n",
    "\n",
    "* Mixing of token holdings among participants\n",
    "* Departure of participants\n",
    "* Proposals which are good or no good together\n",
    "* Affects of outcomes on sentiment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simulation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configuration\n",
    "Let's factor out into its own notebook where we review the config object and its partial state update blocks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from model import economyconfig\n",
    "from model.model.conviction_helper_functions import * "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pull out configurations to illustrate\n",
    "sim_config,genesis_states,seeds,partial_state_update_blocks = economyconfig.get_configs()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'N': 1,\n",
       " 'T': range(0, 100),\n",
       " 'M': [{}],\n",
       " 'subset_id': 0,\n",
       " 'subset_window': deque([0, None]),\n",
       " 'simulation_id': 0,\n",
       " 'run_id': 0}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim_config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'policies': {'random': <function model.model.system.driving_process(params, step, sL, s)>},\n",
       "  'variables': {'network': <function model.model.system.update_network(params, step, sL, s, _input)>,\n",
       "   'funds': <function model.model.system.increment_funds(params, step, sL, s, _input)>}},\n",
       " {'policies': {'completion': <function model.model.participants.check_progress(params, step, sL, s)>},\n",
       "  'variables': {'sentiment': <function model.model.participants.update_sentiment_on_completion(params, step, sL, s, _input)>,\n",
       "   'network': <function model.model.participants.complete_proposal(params, step, sL, s, _input)>}},\n",
       " {'policies': {'release': <function model.model.proposals.trigger_function(params, step, sL, s)>},\n",
       "  'variables': {'funds': <function model.model.proposals.decrement_funds(params, step, sL, s, _input)>,\n",
       "   'sentiment': <function model.model.proposals.update_sentiment_on_release(params, step, sL, s, _input)>,\n",
       "   'network': <function model.model.proposals.update_proposals(params, step, sL, s, _input)>}},\n",
       " {'policies': {'participants_act': <function model.model.participants.participants_decisions(params, step, sL, s)>},\n",
       "  'variables': {'network': <function model.model.participants.update_tokens(params, step, sL, s, _input)>}}]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "partial_state_update_blocks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialization\n",
    "To create the genesis_states, we create our in-memory graph database within networkx. \n",
    "\n",
    "\n",
    "### Hyperparameters\n",
    "* $\\beta$ = .2 # maximum share of funds a proposal can take\n",
    "* $\\rho$ = 0.002 # tuning param for the trigger function\n",
    "* $\\alpha$ = 1/8 = 1/2^3 = 3 day half-life when timestep is 1 day \n",
    "* supply = 21706 # Honey supply balance as of 7-17-2020  \n",
    "* initial_sentiment = .9\n",
    "* n= 24 #initial participants\n",
    "* m= 3 #initial proposals\n",
    "* sensitivity = .75\n",
    "* tmin = 7 #unit days; minimum periods passed before a proposal can pass\n",
    "* min_supp = 50 #number of tokens that must be stake for a proposal to be a candidate\n",
    "* base_completion_rate = 100\n",
    "* base_failure_rate = 200 \n",
    "* initial_funds = 48000 # in xDai\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'network': <networkx.classes.digraph.DiGraph at 0x7fed5b139390>,\n",
       " 'funds': 48000,\n",
       " 'sentiment': 0.6,\n",
       " 'supply': 21706}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genesis_states"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Exploring the State Data Structure\n",
    "\n",
    "A graph is a type of temporal data structure that evolves over time. A graph $\\mathcal{G}(\\mathcal{V},\\mathcal{E})$ consists of vertices or nodes, $\\mathcal{V} = \\{1...\\mathcal{V}\\}$ and is connected by edges  $\\mathcal{E} \\subseteq \\mathcal{V} \\times \\mathcal{V}$.\n",
    "\n",
    "See *Schema of the states* above for more details\n",
    "\n",
    "\n",
    "Let's explore!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "network = genesis_states['network']\n",
    "\n",
    "# To explore our model prior to the simulation, we extract key components from our networkX object into lists.\n",
    "proposals = get_nodes_by_type(network, 'proposal')\n",
    "participants = get_nodes_by_type(network, 'participant')\n",
    "supporters = get_edges_by_type(network, 'support')\n",
    "influencers = get_edges_by_type(network, 'influence')\n",
    "competitors = get_edges_by_type(network, 'conflict')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'type': 'participant',\n",
       " 'holdings': 50.79176616446257,\n",
       " 'sentiment': 0.010951469255264912}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#sample a participant\n",
    "network.nodes[participants[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Count of Participants')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's look at the distribution of participant holdings at the start of the sim\n",
    "plt.hist([ network.nodes[i]['holdings'] for i in participants])\n",
    "plt.title('Histogram of Participants Token Holdings')\n",
    "plt.xlabel('Amount of Honey')\n",
    "plt.ylabel('Count of Participants')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Participants Social Network')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nx.draw_spring(network, nodelist = participants, edgelist=influencers)\n",
    "plt.title('Participants Social Network')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'type': 'proposal',\n",
       " 'conviction': 0,\n",
       " 'status': 'candidate',\n",
       " 'age': 0,\n",
       " 'funds_requested': 1618.7215158100328,\n",
       " 'trigger': 19367.633382772743}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#lets look at proposals\n",
    "network.nodes[proposals[0]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Proposals initially start without any conviction, and with the status of a candidate. If the proposal's amount of  conviction is greater than it's trigger, then the proposal moves to active and it's funds requested are granted. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All initial proposal start with 0 conviction and state 'candidate'we can simply examine the amounts of funds requested"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "funds_array = np.array([ network.nodes[i]['funds_requested'] for i in proposals])\n",
    "conviction_required = np.array([trigger_threshold(r, genesis_states['funds'], genesis_states['supply'], beta, rho, alpha) for r in funds_array])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Amount of Honey requested(as a Fraction of Funds available)')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar( proposals, funds_array/genesis_states['funds'])\n",
    "plt.title('Bar chart of Proposals Funds Requested')\n",
    "plt.xlabel('Proposal identifier')\n",
    "plt.ylabel('Amount of Honey requested(as a Fraction of Funds available)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Amount of Conviction')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar( proposals, conviction_required)\n",
    "plt.title('Bar chart of Proposals Conviction Required')\n",
    "plt.xlabel('Proposal identifier')\n",
    "plt.ylabel('Amount of Conviction')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Conviction is a concept that arises in the edges between participants and proposals in the initial conditions there are no votes yet so we can look at that later however, the voting choices are driven by underlying affinities which we can see now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 55.73999999999998, 'participant_id')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "m = len(proposals)\n",
    "n = len(participants)\n",
    "\n",
    "affinities = np.empty((n,m))\n",
    "for i_ind in range(n):\n",
    "    for j_ind in range(m):\n",
    "        i = participants[i_ind]\n",
    "        j = proposals[j_ind]\n",
    "        affinities[i_ind][j_ind] = network.edges[(i,j)]['affinity']\n",
    "\n",
    "dims = (20, 5)\n",
    "fig, ax = plt.subplots(figsize=dims)\n",
    "\n",
    "sns.heatmap(affinities.T,\n",
    "            xticklabels=participants,\n",
    "            yticklabels=proposals,\n",
    "            square=True,\n",
    "            cbar=True,\n",
    "            cmap = plt.cm.RdYlGn,\n",
    "            ax=ax)\n",
    "\n",
    "plt.title('affinities between participants and proposals')\n",
    "plt.ylabel('proposal_id')\n",
    "plt.xlabel('participant_id')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run simulation\n",
    "\n",
    "Now we will create the final system configuration, append the genesis states we created, and run our simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "                  ___________    ____\n",
      "  ________ __ ___/ / ____/   |  / __ \\\n",
      " / ___/ __` / __  / /   / /| | / / / /\n",
      "/ /__/ /_/ / /_/ / /___/ ___ |/ /_/ /\n",
      "\\___/\\__,_/\\__,_/\\____/_/  |_/_____/\n",
      "by cadCAD\n",
      "\n",
      "Execution Mode: local_proc\n",
      "Configuration Count: 1\n",
      "Dimensions of the first simulation: (Timesteps, Params, Runs, Vars) = (100, 1, 1, 4)\n",
      "Execution Method: local_simulations\n",
      "SimIDs   : [0]\n",
      "SubsetIDs: [0]\n",
      "Ns       : [0]\n",
      "ExpIDs   : [0]\n",
      "Execution Mode: single_threaded\n",
      "Total execution time: 158.17s\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from model.model.conviction_helper_functions import *\n",
    "from model import run\n",
    "from cadCAD import configs\n",
    "pd.options.display.float_format = '{:.2f}'.format\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "rdf = run.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After the simulation has run successfully, we perform some postprocessing to extract node and edge values from the network object and add as columns to the pandas dataframe. For the rdf, we take only the values at the last substep of each timestep in the simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df= run.postprocessing(rdf,0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>network</th>\n",
       "      <th>funds</th>\n",
       "      <th>sentiment</th>\n",
       "      <th>supply</th>\n",
       "      <th>simulation</th>\n",
       "      <th>subset</th>\n",
       "      <th>run</th>\n",
       "      <th>substep</th>\n",
       "      <th>timestep</th>\n",
       "      <th>conviction</th>\n",
       "      <th>...</th>\n",
       "      <th>funds_requested</th>\n",
       "      <th>share_of_funds_requested</th>\n",
       "      <th>share_of_funds_requested_all</th>\n",
       "      <th>triggers</th>\n",
       "      <th>conviction_share_of_trigger</th>\n",
       "      <th>age</th>\n",
       "      <th>age_all</th>\n",
       "      <th>conviction_all</th>\n",
       "      <th>triggers_all</th>\n",
       "      <th>conviction_share_of_trigger_all</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
       "      <td>48001.94</td>\n",
       "      <td>0.60</td>\n",
       "      <td>21706</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>[194.13295659188222, 1138.1090114416809, 113.1...</td>\n",
       "      <td>...</td>\n",
       "      <td>[1618.7215158100328, 976.2298772276204, 955.77...</td>\n",
       "      <td>[0.020337301242219573, 0.01991126341581559, 0....</td>\n",
       "      <td>[0.033722003251714774, 0.020337301242219573, 0...</td>\n",
       "      <td>[13449.245661578903, 13385.684039562457, 12468...</td>\n",
       "      <td>[0.014434486623028311, 0.08502434452194665, 0....</td>\n",
       "      <td>[1, 1, 1, 1, 1, 1, 1]</td>\n",
       "      <td>[1, 1, 1, 1, 1, 1, 1, 1, 1]</td>\n",
       "      <td>[0.0, 194.13295659188222, 1138.1090114416809, ...</td>\n",
       "      <td>[15701.724028376366, 13449.245661578903, 13385...</td>\n",
       "      <td>[0.0, 0.014434486623028311, 0.0850243445219466...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
       "      <td>48003.84</td>\n",
       "      <td>0.60</td>\n",
       "      <td>21706</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>[363.99929360977916, 2134.079726810394, 212.10...</td>\n",
       "      <td>...</td>\n",
       "      <td>[1618.7215158100328, 976.2298772276204, 955.77...</td>\n",
       "      <td>[0.02033649690352059, 0.019910475926879855, 0....</td>\n",
       "      <td>[0.0337206695490814, 0.02033649690352059, 0.01...</td>\n",
       "      <td>[13449.122714571258, 13385.564520413129, 12468...</td>\n",
       "      <td>[0.027064909833517198, 0.15943143253733524, 0....</td>\n",
       "      <td>[2, 2, 2, 2, 2, 2, 2, 1]</td>\n",
       "      <td>[2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1]</td>\n",
       "      <td>[0.0, 363.99929360977916, 2134.079726810394, 0...</td>\n",
       "      <td>[nan, 13449.122714571258, 13385.564520413129, ...</td>\n",
       "      <td>[nan, 0.027064909833517198, 0.1594314325373352...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
       "      <td>48004.13</td>\n",
       "      <td>0.60</td>\n",
       "      <td>21706</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>[667.1586969068549, 3013.794084409652, 298.718...</td>\n",
       "      <td>...</td>\n",
       "      <td>[1618.7215158100328, 976.2298772276204, 955.77...</td>\n",
       "      <td>[0.020336372627242947, 0.019910354254015248, 0...</td>\n",
       "      <td>[0.03372046348216087, 0.020336372627242947, 0....</td>\n",
       "      <td>[13449.002293612462, 13385.447456847483, 12468...</td>\n",
       "      <td>[0.04960655685393991, 0.22515452652036, 0.0239...</td>\n",
       "      <td>[3, 3, 3, 3, 3, 3, 3, 2, 1, 1]</td>\n",
       "      <td>[3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 1, 1]</td>\n",
       "      <td>[0.0, 667.1586969068549, 3013.794084409652, 0....</td>\n",
       "      <td>[nan, 13449.002293612462, 13385.447456847483, ...</td>\n",
       "      <td>[nan, 0.04960655685393991, 0.22515452652036, n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
       "      <td>48005.05</td>\n",
       "      <td>0.60</td>\n",
       "      <td>21706</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>[932.4231747917961, 3361.442465663199, 374.503...</td>\n",
       "      <td>...</td>\n",
       "      <td>[1618.7215158100328, 976.2298772276204, 955.77...</td>\n",
       "      <td>[0.020335981618139105, 0.019909971436001594, 0...</td>\n",
       "      <td>[0.03371981513604482, 0.020335981618139105, 0....</td>\n",
       "      <td>[13448.983687827978, 13385.429369797788, 12468...</td>\n",
       "      <td>[0.06933038186637754, 0.2511269808981839, 0.03...</td>\n",
       "      <td>[4, 4, 4, 4, 4, 4, 4, 3, 2, 2]</td>\n",
       "      <td>[4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 2, 2, 1, 1]</td>\n",
       "      <td>[0.0, 932.4231747917961, 3361.442465663199, 0....</td>\n",
       "      <td>[nan, 13448.983687827978, 13385.429369797788, ...</td>\n",
       "      <td>[nan, 0.06933038186637754, 0.2511269808981839,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
       "      <td>48006.02</td>\n",
       "      <td>0.60</td>\n",
       "      <td>21706</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>[1611.162845844111, 3665.614959197917, 441.593...</td>\n",
       "      <td>...</td>\n",
       "      <td>[1618.7215158100328, 976.2298772276204, 955.77...</td>\n",
       "      <td>[0.020335573633065672, 0.019909571997641016, 0...</td>\n",
       "      <td>[0.033719138641469214, 0.020335573633065672, 0...</td>\n",
       "      <td>[13448.925148901995, 13385.37246294872, 12468....</td>\n",
       "      <td>[0.11979863282796621, 0.27385229431190616, 0.0...</td>\n",
       "      <td>[5, 5, 5, 5, 5, 5, 5, 4, 3, 3]</td>\n",
       "      <td>[5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 3, 3, 2, 2, ...</td>\n",
       "      <td>[0.0, 1611.162845844111, 3665.614959197917, 0....</td>\n",
       "      <td>[nan, 13448.925148901995, 13385.37246294872, n...</td>\n",
       "      <td>[nan, 0.11979863282796621, 0.27385229431190616...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              network    funds  sentiment  \\\n",
       "4   (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 48001.94       0.60   \n",
       "8   (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 48003.84       0.60   \n",
       "12  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 48004.13       0.60   \n",
       "16  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 48005.05       0.60   \n",
       "20  (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 48006.02       0.60   \n",
       "\n",
       "    supply  simulation  subset  run  substep  timestep  \\\n",
       "4    21706           0       0    1        4         1   \n",
       "8    21706           0       0    1        4         2   \n",
       "12   21706           0       0    1        4         3   \n",
       "16   21706           0       0    1        4         4   \n",
       "20   21706           0       0    1        4         5   \n",
       "\n",
       "                                           conviction  ...  \\\n",
       "4   [194.13295659188222, 1138.1090114416809, 113.1...  ...   \n",
       "8   [363.99929360977916, 2134.079726810394, 212.10...  ...   \n",
       "12  [667.1586969068549, 3013.794084409652, 298.718...  ...   \n",
       "16  [932.4231747917961, 3361.442465663199, 374.503...  ...   \n",
       "20  [1611.162845844111, 3665.614959197917, 441.593...  ...   \n",
       "\n",
       "                                      funds_requested  \\\n",
       "4   [1618.7215158100328, 976.2298772276204, 955.77...   \n",
       "8   [1618.7215158100328, 976.2298772276204, 955.77...   \n",
       "12  [1618.7215158100328, 976.2298772276204, 955.77...   \n",
       "16  [1618.7215158100328, 976.2298772276204, 955.77...   \n",
       "20  [1618.7215158100328, 976.2298772276204, 955.77...   \n",
       "\n",
       "                             share_of_funds_requested  \\\n",
       "4   [0.020337301242219573, 0.01991126341581559, 0....   \n",
       "8   [0.02033649690352059, 0.019910475926879855, 0....   \n",
       "12  [0.020336372627242947, 0.019910354254015248, 0...   \n",
       "16  [0.020335981618139105, 0.019909971436001594, 0...   \n",
       "20  [0.020335573633065672, 0.019909571997641016, 0...   \n",
       "\n",
       "                         share_of_funds_requested_all  \\\n",
       "4   [0.033722003251714774, 0.020337301242219573, 0...   \n",
       "8   [0.0337206695490814, 0.02033649690352059, 0.01...   \n",
       "12  [0.03372046348216087, 0.020336372627242947, 0....   \n",
       "16  [0.03371981513604482, 0.020335981618139105, 0....   \n",
       "20  [0.033719138641469214, 0.020335573633065672, 0...   \n",
       "\n",
       "                                             triggers  \\\n",
       "4   [13449.245661578903, 13385.684039562457, 12468...   \n",
       "8   [13449.122714571258, 13385.564520413129, 12468...   \n",
       "12  [13449.002293612462, 13385.447456847483, 12468...   \n",
       "16  [13448.983687827978, 13385.429369797788, 12468...   \n",
       "20  [13448.925148901995, 13385.37246294872, 12468....   \n",
       "\n",
       "                          conviction_share_of_trigger  \\\n",
       "4   [0.014434486623028311, 0.08502434452194665, 0....   \n",
       "8   [0.027064909833517198, 0.15943143253733524, 0....   \n",
       "12  [0.04960655685393991, 0.22515452652036, 0.0239...   \n",
       "16  [0.06933038186637754, 0.2511269808981839, 0.03...   \n",
       "20  [0.11979863282796621, 0.27385229431190616, 0.0...   \n",
       "\n",
       "                               age  \\\n",
       "4            [1, 1, 1, 1, 1, 1, 1]   \n",
       "8         [2, 2, 2, 2, 2, 2, 2, 1]   \n",
       "12  [3, 3, 3, 3, 3, 3, 3, 2, 1, 1]   \n",
       "16  [4, 4, 4, 4, 4, 4, 4, 3, 2, 2]   \n",
       "20  [5, 5, 5, 5, 5, 5, 5, 4, 3, 3]   \n",
       "\n",
       "                                              age_all  \\\n",
       "4                         [1, 1, 1, 1, 1, 1, 1, 1, 1]   \n",
       "8                   [2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1]   \n",
       "12            [3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 1, 1]   \n",
       "16      [4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 2, 2, 1, 1]   \n",
       "20  [5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 3, 3, 2, 2, ...   \n",
       "\n",
       "                                       conviction_all  \\\n",
       "4   [0.0, 194.13295659188222, 1138.1090114416809, ...   \n",
       "8   [0.0, 363.99929360977916, 2134.079726810394, 0...   \n",
       "12  [0.0, 667.1586969068549, 3013.794084409652, 0....   \n",
       "16  [0.0, 932.4231747917961, 3361.442465663199, 0....   \n",
       "20  [0.0, 1611.162845844111, 3665.614959197917, 0....   \n",
       "\n",
       "                                         triggers_all  \\\n",
       "4   [15701.724028376366, 13449.245661578903, 13385...   \n",
       "8   [nan, 13449.122714571258, 13385.564520413129, ...   \n",
       "12  [nan, 13449.002293612462, 13385.447456847483, ...   \n",
       "16  [nan, 13448.983687827978, 13385.429369797788, ...   \n",
       "20  [nan, 13448.925148901995, 13385.37246294872, n...   \n",
       "\n",
       "                      conviction_share_of_trigger_all  \n",
       "4   [0.0, 0.014434486623028311, 0.0850243445219466...  \n",
       "8   [nan, 0.027064909833517198, 0.1594314325373352...  \n",
       "12  [nan, 0.04960655685393991, 0.22515452652036, n...  \n",
       "16  [nan, 0.06933038186637754, 0.2511269808981839,...  \n",
       "20  [nan, 0.11979863282796621, 0.27385229431190616...  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fed524551d0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot('timestep','sentiment')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fed36d9f290>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot('timestep',['funds', 'candidate_funds'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 612x792 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "affinities_plot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fed36b99d50>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='timestep',y=['candidate_count','active_count','completed_count', 'killed_count', 'failed_count'],\n",
    "         kind='area')\n",
    "plt.title('Proposal Status')\n",
    "plt.ylabel('count of proposals')\n",
    "plt.legend(ncol = 3,loc='upper center', bbox_to_anchor=(0.5, -0.15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fed37f13a90>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='timestep',y=['candidate_funds','active_funds','completed_funds', 'killed_funds', 'failed_funds'], kind='area')\n",
    "plt.title('Proposal Status weighted by funds requested')\n",
    "plt.ylabel('Funds worth of proposals')\n",
    "plt.legend(ncol = 3,loc='upper center', bbox_to_anchor=(0.5, -0.15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "nets = df.network.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "K = 55\n",
    "N = 56\n",
    "\n",
    "snap_plot(nets[K:N], size_scale = 1/10,savefigs=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "We have created a simplified conviction voting model that illustrates the state objects, and provides descriptions of how the model fits together. In subsequent notebooks, we will expand the model to introduce additional complexity to more fit real world implementations. "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}