FraudDetectionFrontEnd/info.html at master · goofyahead/FraudDetectionFrontEnd · GitHub

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<!DOCTYPE html >
<html>
<head>
	<style>
	body{
		background-image: url("./stripe.png");
	}
	.meta_div{
		border-radius: 15px;
	}
	</style>
    <script type="text/javascript" src="http://code.jquery.com/jquery.js"></script>

    <script src="./libs/RGraph.common.core.js" ></script>
    <script src="./libs/RGraph.line.js" ></script>
	<script src="./libs/RGraph.scatter.js" ></script>

    <title>Voting trends</title>
	<script type="text/javascript">
		var _gaq = _gaq || [];
		_gaq.push(['_setAccount', 'UA-36659906-1']);
		_gaq.push(['_trackPageview']);

		(function() {
		var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
		ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
		var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
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	</script>
</head>
<body>
	<center>
	<div class="meta_div" style="background: #F0F0F0; margin: 10px; width: 800px; border-width:1px; border-style: solid; border-color: black; box-shadow: 10px 10px 5px #AAAAAA;">
    <h1>Voting trends</h1>
	We won the Burgos Startup Weekend and started trying to make people vote for us. For a couple of days we were one of the last 10 projects of the list and it occurred to us that maybe it was possible to buy votes :)<br><br>

	A 10 seconds google search got us to a form where you could buy 100 votes per 10 euros. <br><br>

	We thought that since it was so easy to buy votes we should collect and investigate the voting trends collecting data about the Global Startup Battle for coding and for fun! <br><br>

	This is the data collected from monday 26 morning CET showing the growth during the vote contest.<br><br>

	The black line represents the votes and the red line the difference between each point divided by the time gap (the derivative!) scaled to fit the graph.<br><br>

	We started to see some curves that may not be natural so we decided to buy 100 votes to have a “real case” of voting fraud on the data (it can be seen on the big spike found on the MeetMeApp graph).<br><br>

	Congrats to the winners.<br><br>

	Github, made in 24 hours, so be kind :)<br><br>
	Get the code! Get the data! Have fun!<br>
	<a href="https://github.com/goofyahead/FraudDetectionFrontEnd"> frontend </a><br>
	<a href="https://github.com/elchudi/offerpopFraudDetection"> backend </a><br>

	ps: give us a few more days and we shall put a real analysis of the voting trends!<br>
	</div>
	<div id="host" class="meta_div" style="margin: 0 auto; width: 800px">
	</div>
	<center>

    <script>
	$().ready(function () {
	counterProjects = 0;
	$.getJSON('./petition.php?url=array', function(data) {
		var json = jQuery.parseJSON(data);
		console.log(data);
		$.each(json.array, function(i,value){
			console.log("generating plot...");
			generateGrafic(value);
		});
	});
	});

	function pad(n){return n<10 ? '0'+n : n}

	function generateGrafic (name){
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	var title = document.createElement('div');
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	if (counterProjects == 16) {
		var divWinners = document.createElement('div');
		divWinners.innerHTML = "<h1>WINNERS</h1>";
		ni.appendChild(divWinners);
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	title.setAttribute("style","float: left; margin: 10px; border-width:1px; border-style: solid; border-color: black; box-shadow: 10px 10px 5px #AAAAAA;");
	title.style.background = "#F0F0F0 ";
	title.className = "meta_div";
	title.style.width = "800px";
	title.style.height = "440px";
	title.innerHTML = "<h1>"+name+"</h1>";
	canvas.width = 750;
	canvas.height = 250;
	canvas.setAttribute('id',name);
	var startDate = new Date(0);
	var endDate = new Date(0);
	title.appendChild(canvas);
	title.appendChild(dataHtml);
	ni.appendChild(title);

	$.getJSON('./petition.php?url='+name, function(data) {
		var FIREFOX = /Firefox/i.test(navigator.userAgent);
		var dataArray = [];
		var maxKey = 0;
		var minKey = Number.MAX_VALUE;
		var maxValue = 0;
		var minValue = Number.MAX_VALUE;
		var maxFirstDiff = 0;
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				previousKey = parseInt (key);
			}
			if (maxFirstDiff < partialMaxDiff) maxFirstDiff = partialMaxDiff;
			if (maxKey < key) maxKey = parseInt(key);
			if (maxValue < value) maxValue = parseInt(value);
			if (minKey > key) minKey = parseInt(key);
			if (minValue > value) minValue = parseInt(value);
			dataArray.push([parseInt(key),parseInt(value)]);
		});

		var previousDiffKey = 0;
		var previousDiffValue = 0;
		var maxSecondDiff = 0;
		var doubleDiff = [];
		for (i = 0; i < firstDiff.length ; i++){
			var partialMaxDiff = ((firstDiff[i][1] - previousDiffValue) / (firstDiff[i][0] - previousDiffKey));
			if (maxSecondDiff < partialMaxDiff) maxSecondDiff = partialMaxDiff;
			doubleDiff.push([firstDiff[i][0], partialMaxDiff]);
			previousDiffValue = firstDiff[i][1];
			previousDiffKey = firstDiff[i][0];
		}

		var steps = 10;
		var elementsDate = [];
		var analisisTime = (maxKey - minKey);
		var intervalSecs = analisisTime / steps;
		for (i = 1; i<= steps; i++){
			var date = new Date(0);
			date.setUTCSeconds(minKey + (intervalSecs * i));
			elementsDate.push(pad(date.getUTCHours())+':'+ pad(date.getUTCMinutes()));
		}

		startDate.setUTCSeconds(minKey);
		endDate.setUTCSeconds(maxKey);
		var votesPerHour = parseInt((maxValue - minValue) / ((maxKey - minKey)/3600))
		dataHtml.innerHTML = "Data logged from " + startDate + "<br>Till " + endDate + "<br>With <b>" + votesPerHour + "</b> votes per hour aprox.";


		var scatter = new RGraph.Scatter(name, dataArray);
		scatter.Set('chart.xmin', minKey);
		scatter.Set('chart.xmax', maxKey);
		scatter.Set('chart.labels', elementsDate);
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		scatter.Set('chart.ymin', minValue);
		scatter.Set('chart.key.rounded', true);
		scatter.Set('chart.gutter.left', 70);
		scatter.Set('chart.title.yaxis', 'Votes');
		scatter.Set('chart.title.yaxis.pos', 0.10);
		scatter.Draw();

		var scatter2 = new RGraph.Scatter(name, firstDiff);
		scatter2.Set('chart.curvy', true);
		scatter2.Set('chart.xmin', minKey);
		scatter2.Set('chart.xmax', maxKey);
		scatter2.Set('chart.ymax', maxFirstDiff);
		scatter2.Set('chart.ymin', 0);
		if (FIREFOX) {
		scatter2.Set('chart.line', false);
		} else {
		scatter2.Set('chart.line', true);
		}
		scatter2.Set('chart.ylabels', false);
		scatter2.Set('chart.gutter.left', 70);
		scatter2.Set('chart.title.yaxis.pos', 0.10);
		scatter2.Set('chart.line.linewidth', 2);
		scatter2.Set('chart.line.colors', ['red']);
		scatter2.Set('chart.line.shadow.color', '#999');
		scatter2.Set('chart.line.shadow.blur', 10);
		scatter2.Set('chart.line.shadow.offsetx', 0);
		scatter2.Set('chart.line.shadow.offsety', 0);
		scatter2.Draw();

		var lineFinish = [[1354057190,0],[1354057199,maxValue]];

		var scatter3 = new RGraph.Scatter(name, lineFinish);
		scatter3.Set('chart.xmin', minKey);
		scatter3.Set('chart.xmax', maxKey);
		scatter3.Set('chart.ymax', maxFirstDiff);
		scatter3.Set('chart.ymin', 0);
		scatter3.Set('chart.line', true);
		scatter2.Set('chart.ylabels', false);
		scatter3.Set('chart.gutter.left', 70);
		scatter3.Set('chart.title.yaxis.pos', 0.10);
		scatter3.Set('chart.line.linewidth', 3);
		scatter3.Set('chart.line.colors', ['#0f0']);
		scatter3.Set('chart.line.shadow.color', '#999');
		scatter3.Set('chart.line.shadow.blur', 20);
		scatter3.Set('chart.line.shadow.offsetx', 0);
		scatter3.Set('chart.line.shadow.offsety', 0);
		//scatter3.Draw();

		if (name == "BounceTangerine.d0"){
			title.removeChild(canvas);
			title.removeChild(dataHtml);
			var errorInfo = document.createElement('p');
			errorInfo.innerHTML = "<br><br><h1>Due to an error colecting data this project has not been tracked</h1>";
			title.appendChild(errorInfo);
		}
	});
	}
	</script>

</body>
</html>