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{
"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": [
{
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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"
]
},
{
"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": [],
"source": [
"# import libraries\n",
"import networkx as nx\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"from model.model.conviction_helper_functions import * \n",
"\n",
"# # Parameters\n",
"# # maximum share of funds a proposal can take\n",
"# beta = .2\n",
"# # tuning param for the trigger function\n",
"# rho = 0.002\n",
"# #alpha = 1 - 0.9999599 #native timescale for app as in contract code\n",
"# alpha = 1/2**7 #timescale set in days with 7 day halflife\n",
"\n",
"# supply = 21706 # Honey supply balance as of 7-17-2020 \n",
"# initial_sentiment = .9\n",
"\n",
"\n",
"# n= 24 #initial participants\n",
"# m= 5 #initial proposals\n",
"\n",
"\n",
"# sensitivity = .75\n",
"# tmin = 0 #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",
"\n",
"# initial_funds = 48000 # in xDai\n",
"\n",
"\n",
"#initializers\n",
"network = genesis_states['network']\n",
"initial_funds = genesis_states['funds']\n",
"initial_sentiment = genesis_states['sentiment']\n",
"\n",
"# Create initial states\n",
"# genesis_states = { \n",
"# 'network':network,\n",
"# 'funds':initial_funds,\n",
"# 'sentiment':initial_sentiment,\n",
"#}"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'network': <networkx.classes.digraph.DiGraph at 0x7f1fa1e4c610>,\n",
" 'funds': 48000,\n",
" 'sentiment': 0.6,\n",
" 'supply': 21706}"
]
},
"execution_count": 9,
"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": 10,
"metadata": {},
"outputs": [],
"source": [
"# 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": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'type': 'participant',\n",
" 'holdings': 1282.3400336856525,\n",
" 'sentiment': 0.12252743399427923}"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#sample a participant\n",
"network.nodes[participants[0]]"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Count of Participants')"
]
},
"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": {
"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": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Participants Social Network')"
]
},
"execution_count": 13,
"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": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'type': 'proposal',\n",
" 'conviction': 0,\n",
" 'status': 'candidate',\n",
" 'age': 0,\n",
" 'funds_requested': 803.8258095725832,\n",
" 'trigger': 13507.021433921453}"
]
},
"execution_count": 14,
"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, initial_funds, 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/initial_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": 19,
"metadata": {},
"outputs": [],
"source": [
"from cadCAD.configuration import Experiment\n",
"\n",
"# Create configuration\n",
"exp = Experiment()\n",
"\n",
"exp.append_configs(\n",
" sim_configs=sim_config,\n",
" initial_state=genesis_states,\n",
" seeds=seeds,\n",
" partial_state_update_blocks=partial_state_update_blocks\n",
")"
]
},
{
"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: 2\n",
"Dimensions of the first simulation: (Timesteps, Params, Runs, Vars) = (100, 1, 1, 4)\n",
"Execution Method: local_simulations\n",
"SimIDs : [0, 1]\n",
"SubsetIDs: [0, 0]\n",
"Ns : [0, 0]\n",
"ExpIDs : [0, 0]\n",
"Total execution time: 513.38s\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(configs)"
]
},
{
"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>48000.09</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>[1362.0155114236738, 65.93067983719489, 1276.2...</td>\n",
" <td>...</td>\n",
" <td>[803.8258095725832, 1837.82103345429, 1543.109...</td>\n",
" <td>[0.03828786893603694, 0.03214806589334894, 0.0...</td>\n",
" <td>[0.01674634073943105, 0.03828786893603694, 0.0...</td>\n",
" <td>[16600.645124618568, 15408.394728021776, 17721...</td>\n",
" <td>[0.08204593864872277, 0.004278880506435434, 0....</td>\n",
" <td>[1, 1, 1, 1, 1, 1, 1, 1]</td>\n",
" <td>[1, 1, 1, 1, 1, 1, 1, 1, 1]</td>\n",
" <td>[0.0, 1362.0155114236738, 65.93067983719489, 1...</td>\n",
" <td>[12927.20473143532, 16600.645124618568, 15408....</td>\n",
" <td>[0.0, 0.08204593864872277, 0.00427888050643543...</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>48000.84</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>[2975.0385094540616, 123.62002469474041, 2392....</td>\n",
" <td>...</td>\n",
" <td>[803.8258095725832, 1837.82103345429, 1543.109...</td>\n",
" <td>[0.03828727170307032, 0.03214756443204284, 0.0...</td>\n",
" <td>[0.016746079521791166, 0.03828727170307032, 0....</td>\n",
" <td>[16600.63090458667, 15408.38405117712, 17721.8...</td>\n",
" <td>[0.1792123761171073, 0.008022906508829943, 0.1...</td>\n",
" <td>[2, 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, 2975.0385094540616, 123.62002469474041, ...</td>\n",
" <td>[nan, 16600.63090458667, 15408.38405117712, 17...</td>\n",
" <td>[nan, 0.1792123761171073, 0.008022906508829943...</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>48002.10</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>[4253.969360779205, 174.09820144509274, 3248.9...</td>\n",
" <td>...</td>\n",
" <td>[803.8258095725832, 1837.82103345429, 1543.109...</td>\n",
" <td>[0.03828625925681157, 0.03214671434061847, 0.0...</td>\n",
" <td>[0.01674563669824155, 0.03828625925681157, 0.0...</td>\n",
" <td>[16600.508286833086, 15408.291985824319, 17721...</td>\n",
" <td>[0.25625536804516386, 0.011298994178281648, 0....</td>\n",
" <td>[3, 3, 3, 3, 3, 3, 3, 3, 2, 1]</td>\n",
" <td>[3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 1, 1]</td>\n",
" <td>[0.0, 4253.969360779205, 174.09820144509274, 3...</td>\n",
" <td>[nan, 16600.508286833086, 15408.291985824319, ...</td>\n",
" <td>[nan, 0.25625536804516386, 0.01129899417828164...</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>48002.67</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>[5503.378575394039, 284.471986432017, 3998.060...</td>\n",
" <td>...</td>\n",
" <td>[803.8258095725832, 1837.82103345429, 1543.109...</td>\n",
" <td>[0.038285811833173235, 0.03214633866537179, 0....</td>\n",
" <td>[0.016745441004176808, 0.038285811833173235, 0...</td>\n",
" <td>[16600.30042484413, 15408.135915912892, 17721....</td>\n",
" <td>[0.3315228299818986, 0.01846245308222041, 0.22...</td>\n",
" <td>[4, 4, 4, 4, 4, 4, 4, 4, 3, 2, 1]</td>\n",
" <td>[4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 3, 2, 2, 1, 1]</td>\n",
" <td>[0.0, 5503.378575394039, 284.471986432017, 399...</td>\n",
" <td>[nan, 16600.30042484413, 15408.135915912892, 1...</td>\n",
" <td>[nan, 0.3315228299818986, 0.01846245308222041,...</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>48005.28</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>[6399.4278841686355, 381.0490482955758, 4467.2...</td>\n",
" <td>...</td>\n",
" <td>[803.8258095725832, 1837.82103345429, 1543.109...</td>\n",
" <td>[0.038283730501728605, 0.03214459109408388, 0....</td>\n",
" <td>[0.016744530671830505, 0.038283730501728605, 0...</td>\n",
" <td>[16600.20856702234, 15408.066945730918, 17721....</td>\n",
" <td>[0.3855028603002988, 0.02473049018009052, 0.25...</td>\n",
" <td>[5, 5, 5, 5, 5, 5, 5, 5, 4, 3, 1, 1]</td>\n",
" <td>[5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 3, 3, 2, 2, ...</td>\n",
" <td>[0.0, 6399.4278841686355, 381.0490482955758, 4...</td>\n",
" <td>[nan, 16600.20856702234, 15408.066945730918, 1...</td>\n",
" <td>[nan, 0.3855028603002988, 0.02473049018009052,...</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,... 48000.09 0.60 \n",
"8 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 48000.84 0.60 \n",
"12 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 48002.10 0.60 \n",
"16 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 48002.67 0.60 \n",
"20 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 48005.28 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 [1362.0155114236738, 65.93067983719489, 1276.2... ... \n",
"8 [2975.0385094540616, 123.62002469474041, 2392.... ... \n",
"12 [4253.969360779205, 174.09820144509274, 3248.9... ... \n",
"16 [5503.378575394039, 284.471986432017, 3998.060... ... \n",
"20 [6399.4278841686355, 381.0490482955758, 4467.2... ... \n",
"\n",
" funds_requested \\\n",
"4 [803.8258095725832, 1837.82103345429, 1543.109... \n",
"8 [803.8258095725832, 1837.82103345429, 1543.109... \n",
"12 [803.8258095725832, 1837.82103345429, 1543.109... \n",
"16 [803.8258095725832, 1837.82103345429, 1543.109... \n",
"20 [803.8258095725832, 1837.82103345429, 1543.109... \n",
"\n",
" share_of_funds_requested \\\n",
"4 [0.03828786893603694, 0.03214806589334894, 0.0... \n",
"8 [0.03828727170307032, 0.03214756443204284, 0.0... \n",
"12 [0.03828625925681157, 0.03214671434061847, 0.0... \n",
"16 [0.038285811833173235, 0.03214633866537179, 0.... \n",
"20 [0.038283730501728605, 0.03214459109408388, 0.... \n",
"\n",
" share_of_funds_requested_all \\\n",
"4 [0.01674634073943105, 0.03828786893603694, 0.0... \n",
"8 [0.016746079521791166, 0.03828727170307032, 0.... \n",
"12 [0.01674563669824155, 0.03828625925681157, 0.0... \n",
"16 [0.016745441004176808, 0.038285811833173235, 0... \n",
"20 [0.016744530671830505, 0.038283730501728605, 0... \n",
"\n",
" triggers \\\n",
"4 [16600.645124618568, 15408.394728021776, 17721... \n",
"8 [16600.63090458667, 15408.38405117712, 17721.8... \n",
"12 [16600.508286833086, 15408.291985824319, 17721... \n",
"16 [16600.30042484413, 15408.135915912892, 17721.... \n",
"20 [16600.20856702234, 15408.066945730918, 17721.... \n",
"\n",
" conviction_share_of_trigger \\\n",
"4 [0.08204593864872277, 0.004278880506435434, 0.... \n",
"8 [0.1792123761171073, 0.008022906508829943, 0.1... \n",
"12 [0.25625536804516386, 0.011298994178281648, 0.... \n",
"16 [0.3315228299818986, 0.01846245308222041, 0.22... \n",
"20 [0.3855028603002988, 0.02473049018009052, 0.25... \n",
"\n",
" age \\\n",
"4 [1, 1, 1, 1, 1, 1, 1, 1] \n",
"8 [2, 2, 2, 2, 2, 2, 2, 2, 1] \n",
"12 [3, 3, 3, 3, 3, 3, 3, 3, 2, 1] \n",
"16 [4, 4, 4, 4, 4, 4, 4, 4, 3, 2, 1] \n",
"20 [5, 5, 5, 5, 5, 5, 5, 5, 4, 3, 1, 1] \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, 1362.0155114236738, 65.93067983719489, 1... \n",
"8 [0.0, 2975.0385094540616, 123.62002469474041, ... \n",
"12 [0.0, 4253.969360779205, 174.09820144509274, 3... \n",
"16 [0.0, 5503.378575394039, 284.471986432017, 399... \n",
"20 [0.0, 6399.4278841686355, 381.0490482955758, 4... \n",
"\n",
" triggers_all \\\n",
"4 [12927.20473143532, 16600.645124618568, 15408.... \n",
"8 [nan, 16600.63090458667, 15408.38405117712, 17... \n",
"12 [nan, 16600.508286833086, 15408.291985824319, ... \n",
"16 [nan, 16600.30042484413, 15408.135915912892, 1... \n",
"20 [nan, 16600.20856702234, 15408.066945730918, 1... \n",
"\n",
" conviction_share_of_trigger_all \n",
"4 [0.0, 0.08204593864872277, 0.00427888050643543... \n",
"8 [nan, 0.1792123761171073, 0.008022906508829943... \n",
"12 [nan, 0.25625536804516386, 0.01129899417828164... \n",
"16 [nan, 0.3315228299818986, 0.01846245308222041,... \n",
"20 [nan, 0.3855028603002988, 0.02473049018009052,... \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 0x7f1f48926910>"
]
},
"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 0x7f1ff49865d0>"
]
},
"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 0x7f1fe16b6e50>"
]
},
"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 0x7f1fe1390590>"
]
},
"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": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"# df.conviction_share_of_trigger.apply(max).plot()\n",
"# df.conviction_share_of_trigger.apply(np.median).plot()\n",
"# df.conviction_share_of_trigger.apply(min).plot()\n",
"# plt.gca().set_ylim(0,1)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"# df.age.apply(max).plot()\n",
"# df.age.apply(np.median).plot()\n",
"# df.age.apply(min).plot()"
]
},
{
"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": "3.7.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}