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<h1 class="text-4xl">Country Mention Networks in UN Speeches</h1> <h1 class="text-4xl">Country Mention Networks in UN Speeches</h1>
<div>Computational Social Science 02467 - Group 10</div> <div>Computational Social Science 02467 - Group 10</div>
</div> </div>
<div class="max-w-6xl mx-auto p-6 text-base-content font-sans">
<!-- Section 1: Overview -->
<section class="mb-8">
<p class="text-base leading-relaxed mb-4">
The analysis is based on the United Nations General Debate Corpus
(UNGDC), which contains speeches delivered by countries at the United
Nations over multiple decades. Each observation consists of a speech, a
country, and a year, making it possible to connect political language
with both countries and time.
</p>
<p
class="text-sm font-semibold tracking-wide text-base-content/70 mb-2 uppercase"
>
This makes the dataset especially useful for studying:
</p>
<ul class="list-disc pl-6 space-y-1 text-base text-base-content/80">
<li>international attention patterns</li>
<li>political communication</li>
<li>diplomatic relationships</li>
<li>sentiment in international discourse</li>
</ul>
</section>
<!-- Section 2: How the Network Works -->
<section class="mb-8">
<h2
class="text-2xl font-bold border-b border-base-200 pb-2 mb-4 text-base-content"
>
How the Network Works
</h2>
<p class="text-base leading-relaxed mb-4">
In this project, countries are treated as nodes, while mentions from one
country to another form directed edges. A directed edge means that one
country refers to another in a speech. The direction matters, because
diplomatic attention is not necessarily symmetric: a country may talk
about another country much more than it is talked about in return.
</p>
<p class="text-base leading-relaxed mb-4">
Edge color reflects whether the mention is framed in a more positive or
negative way. This allows the network to capture both the volume and the
tone of diplomatic attention.
</p>
<div
class="mockup-code bg-base-200 text-base-content pre-wrap rounded-xl px-4 py-4 before:content-none"
>
<ul class="space-y-2 text-base">
<li><span class=" font-bold">Node:</span> a country</li>
<li>
<span class=" font-bold">Directed edge:</span> one country mentions another
</li>
<li>
<span class=" font-bold">Edge weight:</span> how often the mention occurs
</li>
<li>
<span class="font-bold">Edge color:</span> whether the mention is more
positive or more negative
</li>
</ul>
</div>
</section>
</div>
<div <div
class="collapse collapse-arrow bg-base-200 border border-base-300 rounded-box w-full" class="collapse collapse-arrow bg-base-200 border border-base-300 rounded-box w-full"
> >
@ -105,6 +169,28 @@
<!-- Accordion Body Content --> <!-- Accordion Body Content -->
<div class="collapse-content"> <div class="collapse-content">
<div class="w-full flex justify-center">
<!-- Section 3: Full Network Overview -->
<section class="max-w-6xl">
<h2
class="text-2xl font-bold border-b border-base-200 pb-2 mb-4 text-base-content"
>
Full Network Overview
</h2>
<p class="text-base leading-relaxed">
The graph below shows the full diplomatic mention network built from
the UN speeches. Each node represents a country, and each directed
edge represents one country mentioning another. Edge color reflects
whether the mention is framed in a more positive or more negative
way. Users can adjust the positive and negative sliders to filter
the graph by sentiment strength. Because the full graph contains a
very large number of connections, it provides a useful overview of
how dense and interconnected international political discourse is,
but it is too crowded for detailed country level interpretation.
</p>
</section>
</div>
<div class="flex flex-col items-center justify-center w-full prose pt-4"> <div class="flex flex-col items-center justify-center w-full prose pt-4">
<div class="flex gap-30 justify-between"> <div class="flex gap-30 justify-between">
<div>Negative range</div> <div>Negative range</div>