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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<!--Put name of student and diploma title here-->
<title>Plug and Plot with Internet data | GSOC 2022</title>
<link rel="icon" href="favicon.ico" type="image/x-icon" sizes="16x16" />
<!-- Bootstrap CSS -->
<link href="css/bootstrap.min.css" rel="stylesheet" />
<!-- load google fonts -->
<link rel="preconnect" href="https://fonts.gstatic.com" />
<link
href="https://fonts.googleapis.com/css2?family=Montserrat:ital,wght@0,200;0,400;0,700;0,900;1,400&display=swap"
rel="stylesheet"
/>
<!-- load font-awesome -->
<link
rel="stylesheet"
href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.1/css/all.min.css"
integrity="sha512-+4zCK9k+qNFUR5X+cKL9EIR+ZOhtIloNl9GIKS57V1MyNsYpYcUrUeQc9vNfzsWfV28IaLL3i96P9sdNyeRssA=="
crossorigin="anonymous"
/>
<!-- load custom styles -->
<link href="css/styles.css" rel="stylesheet" />
<script
src="https://kit.fontawesome.com/e70d3c92bf.js"
crossorigin="anonymous"
></script>
</head>
<body>
<header>
<nav
class="navbar fixed-top navbar-expand-lg navbar-light bg-light"
id="mainNavBar"
>
<div class="container-fluid">
<a class="navbar-brand" href="index.html">GSOC 2022</a>
<button
class="navbar-toggler"
type="button"
data-bs-toggle="collapse"
data-bs-target="#navbarNav"
aria-controls="navbarNav"
aria-expanded="false"
aria-label="Toggle navigation"
>
<span class="navbar-toggler-icon"></span>
</button>
<div
class="collapse navbar-collapse justify-content-end"
id="navbarNav"
>
<ul class="navbar-nav text-center">
<li class="nav-item">
<a class="nav-link" href="#title">About</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#overview">Benefits to Community</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#implementation"
>Implementation & Deliverables</a
>
</li>
<li class="nav-item">
<a class="nav-link" href="#people">People</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#contact">Contact</a>
</li>
</ul>
</div>
</div>
</nav>
<div id="title" class="container text-center py-5 px-5">
<!-- put the diploma title below -->
<h1>Plug and Plot with Internet data</h1>
<h3>Reusable visualizations for Internet open datasets</h3>
</div>
<div class="jumbotron container px-5">
<b>“Plug and plot”</b>
<p>
The building blocks will be developed in the ObservableHQ platform,
which uses the popular visualization library D3.js. The building
blocks will be open-source code, published as templates in the
ObservableHQ platform. Any user would be able to fork/copy a template
and plug their own data, and/or modify it according to their needs.
Since the code will be in D3.js, the building blocks can be re-usable
by any javascript component, not only in ObservableHQ.
</p>
<b>Targeted users</b>
<p>
Internet researchers and network operators. Internet data: There exist
various types of Internet data, mainly, tabular data (e.g., ASN or
latency value), timeseries (e.g., AS hegemony per day), graphs (e.g.,
routing graph), paths (e.g., traceroutes, BGP paths). We will create
at least one building block that can visualize each type of data.
</p>
<b>Types of plots</b>
<p>
Different types of data need different types of visualizations. We
will consider a range of visualizations, such as, sankey diagrams
(very useful to visualize relations, paths, etc. in Internet data),
graphs, geo-maps, distribution plots (e.g., histograms, violin plots),
dendrograms, heatmaps.
</p>
</div>
</header>
<main class="container px-5">
<section id="overview" class="pt-5">
<h2 class="text-center">Funded by</h2>
<img
class="img-fluid"
height="300"
width="300"
src="images/gsoc.png"
alt="Google Summer of Code"
/>
</section>
<section id="overview" class="pt-5">
<h2 class="text-center">Benefits to Community</h2>
<hr />
<div id="overview-intro">
<div class="row">
<div class="col">
<b>“Plug and plot”</b>
<p>
The building blocks will be developed in the ObservableHQ
platform, which uses the popular visualization library D3.js.
The building blocks will be open-source code, published as
templates in the ObservableHQ platform. Any user would be able
to fork/copy a template and plug their own data, and/or modify
it according to their needs. Since the code will be in D3.js,
the building blocks can be re-usable by any javascript
component, not only in ObservableHQ.
</p>
<b>Examples of selected events</b>
<p>
The project will demonstrate the building blocks through a set
of selected use cases, posted as ObservableHQ posts with text
describing the use of the data and with visualizations showing
the analyses. These posts will serve as hands-on tutorials on
how to use the building blocks.
</p>
</div>
</div>
</div>
</section>
<section id="implementation" class="pt-5">
<h2 class="text-center">Results</h2>
<hr />
<div id="overview-intro">
<div class="row">
<h3 class="pt-3">Overview</h3>
<div class="col">
<p>
The goal of this project is to give researchers an easy way to
interact with and embed Internet Health Report data on their own
posts whether those are within the ObservableHQ platform or
hosted externally.
<br />
<br />
You can (i) directly use the ObservableHQ notebook to visualize
the queried data with your own customized parameters, and/or
(ii) copy the code and use it in your own page/notebook (and you
could also then embed the visualizations as iframes). Below, you
can find all the visualizations, which are also provided -for
your convenience- in separate notebooks.
</p>
<br />
<b>AS Dependencies (Timeseries)</b
><a
class="badg"
target="_blank"
href="https://observablehq.com/@tasos/depedency-timeseries?collection=@tasos/reusable-ihr-plots"
>Link to component</a
>
<br />
<br />
<b>AS Dependencies Grouped By Country (Timeseries)</b
><a
class="badg"
target="_blank"
href="https://observablehq.com/@tasos/dependency-timeseries-grouped-by-country?collection=@tasos/reusable-ihr-plots"
>Link to component</a
>
<br />
<br />
<b>Number of Dependent Networks (Timeseries)</b
><a
class="badg"
target="_blank"
href="https://observablehq.com/@tasos/dependent-timeseries?collection=@tasos/reusable-ihr-plots"
>Link to component</a
>
<br />
<br />
<b>Dependent Networks Grouped By Country (Timeseries)</b
><a
class="badg"
target="_blank"
href="https://observablehq.com/@tasos/dependent-timeseries-grouped-by-country?collection=@tasos/reusable-ihr-plots"
>Link to component</a
>
<br />
<br />
<b>Dependent Networks Grouped By Type (Timeseries)</b
><a
class="badg"
target="_blank"
href="https://observablehq.com/@tasos/dependent-timeseries-grouped-by-type?collection=@tasos/reusable-ihr-plots"
>Link to component</a
>
<br />
<br />
<b>AS Dependencies Difference (Table)</b
><a
class="badg"
target="_blank"
href="https://observablehq.com/@tasos/dependency-difference-table?collection=@tasos/reusable-ihr-plots"
>Link to component</a
>
<br />
<br />
<b>AS Dependencies Difference (Bar)</b
><a
class="badg"
target="_blank"
href="https://observablehq.com/@tasos/dependency-difference-bar?collection=@tasos/reusable-ihr-plots"
>Link to component</a
>
<br />
<br />
<b
>AS Dependencies for Large Time Windows [with sampling]
(Timeseries)</b
><a
class="badg"
target="_blank"
href="https://observablehq.com/@tasos/dependency-timeseries-sampling?collection=@tasos/reusable-ihr-plots"
>Link to component</a
>
<br />
<br />
<b>Two Hops AS Dependencies (Sankey Plot)</b
><a
class="badg"
target="_blank"
href="https://observablehq.com/@tasos/dependency-sankey?collection=@tasos/reusable-ihr-plots"
>Link to component</a
>
<br />
<br />
<b>Country Hegemony Graph (Graph Plot)</b
><a
class="badg"
target="_blank"
href="https://observablehq.com/@tasos/country-graph?collection=@tasos/reusable-ihr-plots"
>Link to component</a
>
</div>
</div>
</div>
</section>
<section id="people" class="pt-5">
<h2 class="text-center">People</h2>
<hr />
<div class="row">
<div class="col-12 col-lg-7">
<h6>Mentors</h6>
<ul class="people">
<li>
<strong
><i class="fas fa-user-circle"></i
><a href="https://twitter.com/romain_fontugne">
Romain Fontugne</a
></strong
>, IIJ Research Lab<br />
</li>
<li>
<strong
><i class="fas fa-user-circle"></i
><a href="https://labs.ripe.net/author/emileaben/">
Emile Aben</a
></strong
>, RIPE NCC<br />
</li>
<li>
<i class="fas fa-user-circle"></i>
<strong
><a href="https://sermpezis.github.io"
>Pavlos Sermpezis</a
></strong
>, Datalab, AUTh
</li>
</ul>
<h6>Contributors</h6>
<ul class="people">
<li>
<strong
><i class="fas fa-user-circle"></i
><a href="https://www.tmeletlidis.tech/">
Tasos Meletlidis</a
></strong
>, Datalab, AUTh<br />
</li>
</ul>
</div>
</div>
</section>
<section id="contact" class="pt-5">
<h2 class="text-center">Contact</h2>
<hr />
<div class="row">
<div class="col">
<p>
<i class="far fa-envelope"></i> tmeletlidis@protonmail.com (Tasos
Meletlidis)
</p>
<p>
<i class="fab fa-github-square"></i>
<a target="_blank" href="https://github.com/TasosY2K/"
>@TasosY2K</a
>
</p>
<p>
<i class="fab fa-linkedin-in"></i>
<a
target="_blank"
href="https://www.linkedin.com/in/tasos-meletlidis/"
>@tasos-meletlidis</a
>
</p>
</div>
</div>
</section>
</main>
<footer>
<div class="container-fluid">
<div class="row">
<div class="col">
<p class="text-center">
© 2022 Anastasios-Theodosios (Tasos) Meletlidis.
</p>
</div>
</div>
</div>
</footer>
<script src="js/bootstrap.bundle.min.js"></script>
</body>
</html>