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This algorithm computes a collusion ratio for a given set of posts and user votes. For example, this could be used to flag user activity in social collaboration websites, such as Product Hunt / Hacker News / Reddit. It works by finding the ratio of common votes (among a group of users) over the sum of uncommon votes and total votes. Input Format Input must be a CSV file with comma delimited numbers (without header). Each line represents the votes a single post received. The first number in every line is the post_id, while the remaining numbers are the user ids of the users who voted for that post/item. The input string can be a path to a local CSV file (data://), remote file (http://), or straight-up CSV content. The second parameter is the LIMIT, which is a double value between 0 and 1. This tells the algorithm to only return ratios that are larger than the specified limit. Output Format The output is an array of CollusionRatio. Each CollusionRatio element has the following properties: Ratio: see computation above CommonVotes: # of votes in common among given users, a.k.a. Votes(U,P) OutsideVotes: # of votes not in common among given users, a.k.a. Votes(U, -P) AllVotes: # of votes by all users made on any post, a.k.a. Votes(U, *) UserCount: # of users part of this computation Users: array with ids of users involved in the computation PostId: the post id that was used to identify the group of users

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1. Type your input

2. See the result

Running algorithm...

3. Use this algorithm

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY'
View cURL Docs
algo auth
algo run algo://ANaimi/SimpleVoteRingDetection/0.1.1 -d '{{input | formatInput:"cli"}}'
View CLI Docs
import (
  algorithmia ""

input := {{input | formatInput:"go"}}

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://ANaimi/SimpleVoteRingDetection/0.1.1")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
View Go Docs
import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://ANaimi/SimpleVoteRingDetection/0.1.1");
AlgoResponse result = algo.pipeJson(input);
View Java Docs
import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://ANaimi/SimpleVoteRingDetection/0.1.1")
val result = algo.pipeJson(input)
View Scala Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(output) {
View Javascript Docs
var input = {{input | formatInput:"javascript"}};
           .then(function(response) {
View NodeJS Docs
import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('ANaimi/SimpleVoteRingDetection/0.1.1')
print algo.pipe(input)
View Python Docs

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("ANaimi/SimpleVoteRingDetection/0.1.1")
result <- algo$pipe(input)$result
View R Docs
require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('ANaimi/SimpleVoteRingDetection/0.1.1')
puts algo.pipe(input).result
View Ruby Docs
use algorithmia::*;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo("ANaimi/SimpleVoteRingDetection/0.1.1");
let response = algo.pipe(input);
View Rust Docs
import Algorithmia

let input = "{{input | formatInput:"swift"}}";
let client = Algorithmia.client(simpleKey: "YOUR_API_KEY")
let algo = client.algo(algoUri: "ANaimi/SimpleVoteRingDetection/0.1.1") { resp, error in
View Swift Docs
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