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<html>
<head>
<title>Predicting Information Pathways Across Online Communities</title>
<meta property="og:image" content="./static/img/Thumbnail.jpg" />
<!-- Facebook automatically scrapes this. Go to https://developers.facebook.com/tools/debug/ if you update and want to force Facebook to rescrape. -->
<meta property="og:title" content="Predicting Information Pathways Across Online Communities." />
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</head>
<body>
<br>
<center>
<span style="font-size:36px">Predicting Information Pathways Across Online Communities</span>
<table align=center width=600px>
<table align=center width=600px>
<tr>
<td align=center width=100px>
<center>
<span style="font-size:24px"><a href="https://ahren09.github.io/">Yiqiao Jin</a></span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:24px"><a href="https://sites.google.com/view/yclee/">Yeon-Chang
Lee</a></span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:24px"><a href="https://ksartik.github.io/">Kartik Sharma</a></span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:24px"><a href="https://www.linkedin.com/in/meng-ye-36711114b/">Meng
Ye</a></span>
</center>
</td>
</tr>
<tr>
<br />
<td align=center width=100px>
<center>
<span style="font-size:24px"><a href="https://www.linkedin.com/in/ksikka/">Karan
Sikka</a></span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:24px"><a
href="https://www.linkedin.com/in/ajay-divakaran-3445361/">Ajay Divakaran</a></span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:24px"><a href="https://faculty.cc.gatech.edu/~srijan/">Srijan
Kumar</a></span>
</center>
</td>
</tr>
</table>
<span>Georgia Institute of Technology, SRI International</span><br />
<a href="https://www.cc.gatech.edu/"><img src="./static/img/gt-logo.png" width=200px></a>
<br />
<a href="https://www.sri.com/"><img src="./static/img/SRI-logo.png" width=200px></a><br /><br />
<span>⭐ Accepted as a research paper at <a href="https://kdd.org/kdd2023/">KDD 2023 main
conference</a></span>
<br />
<a href="https://kdd.org/kdd2023/"><img src="./static/img/kdd2023_logo.png" width="300px"></a>
<table align=center width=250px>
<tr>
<td align=center width=120px>
<center>
<span style="font-size:24px">[<a href='https://arxiv.org/abs/2306.02259'>Paper</a>]</span>
</center>
</td>
<td align=center width=120px>
<center>
<span style="font-size:24px">[<a
href='https://github.com/claws-lab/INPAC'>GitHub</a>]</span><br>
</center>
</td>
<td align=center width=120px>
<center>
<span style="font-size:28px">[<a href='https://ahren09.github.io/slides/Slides_KDD2023_INPAC.pdf'>Slides</a>]
</span>
</center>
</td>
</tr>
<hr>
</table>
</table>
</center>
<center>
<table align=center width=850px>
<tr>
<td width=1200px>
<center>
<img class="round" style="width:900px" src="./static/img/Thumbnail.jpg" />
</center>
</td>
</tr>
</table>
</center>
<hr>
<table align=center width=850px>
<center>
<h1>Abstract</h1>
</center>
<tr>
<td>
The problem of community-level information pathway prediction (CLIPP) aims at predicting the
transmission trajectory of content across online communities. A successful solution to CLIPP holds
significance as it facilitates the distribution of valuable information to a larger audience and
prevents the proliferation of misinformation. Notably, solving CLIPP is non-trivial as inter-community
relationships and influence are unknown, information spread is multi-modal, and new content and new
communities appear over time. In this work, we address CLIPP by collecting large-scale, multi-modal
datasets to examine the diffusion of online YouTube videos on Reddit. We analyze these datasets to
construct community influence graphs (CIGs) and develop a novel dynamic graph framework, INPAC
(Information Pathway Across Online Communities), which incorporates CIGs to capture the temporal
variability and multi-modal nature of video propagation across communities. Experimental results in both
warm-start and cold-start scenarios show that INPAC outperforms seven baselines in CLIPP.
</td>
</tr>
</table>
<br>
<hr>
<center>
<h1>Talk</h1>
</center>
<p align="center">
<iframe width="660" height="395" src="https://www.youtube.com/embed/xlWkXHa0gio" frameborder="0"
allow="autoplay; encrypted-media" allowfullscreen align="center"></iframe>
</p>
<center>
<h1>Code and Dataset</h1>
</center>
<table align=center width=850px>
<center>
<tr>
<td>
<b>Code</b>: We make the code for INPAC available at <a
href="https://github.com/claws-lab/INPAC">https://github.com/claws-lab/INPAC</a><br /><br />
<b>Updated Datasets</b>: We constructed real-world, large-scale datasets covering 60 months of
Reddit posts sharing YouTube videos, from January 2018 to December 2022, available on 🤗 HuggingFace (<a href="https://huggingface.co/datasets/Ahren09/reddit">Ahren09/reddit</a>)<br />
</td>
</tr>
</center>
</table>
<center>
<table class="tg">
<thead align="left">
<tr>
<th class="tg-za14"></th>
<th class="tg-za14">Large</th>
<th class="tg-za14">Small</th>
</tr>
</thead>
<tbody>
<tr>
<td class="colname">#Videos</td>
<td class="tg-za14">183,596</td>
<td class="tg-za14">6,802</td>
</tr>
<tr>
<td class="colname">#Subreddits</td>
<td class="tg-za14">57,894</td>
<td class="tg-za14">7,319</td>
</tr>
<tr>
<td class="colname">#Users</td>
<td class="tg-7zrl">291,047</td>
<td class="tg-7zrl">8,752</td>
</tr>
<tr>
<td class="colname">#Shares</td>
<td class="tg-7zrl">1,323,714</td>
<td class="tg-7zrl">36,118</td>
</tr>
<tr>
<td class="colname">Density</td>
<td class="tg-8d8j">7.96E-05</td>
<td class="tg-8d8j">6.11E-04</td>
</tr>
<tr>
<td class="colname">#Cold-Start Videos</td>
<td class="tg-2b7s">3,042,068</td>
<td class="tg-2b7s">68,095</td>
</tr>
</tbody>
</table>
</center>
<center>
<h1>Sample data</h1>
</center>
<center>
<table align="left">
<thead align="left">
<tr>
<th>url</th>
<th>netloc</th>
<th>post_id</th>
<th>timestamp</th>
<th>subreddit</th>
<th>author</th>
<th>v</th>
</tr>
</thead>
<tbody>
<tr>
<td>https://youtu.be/tmmpaOZ3nQg</td>
<td>youtu.be</td>
<td>eiazyl</td>
<td>1577836805</td>
<td>virtualreality</td>
<td>Zweetprot</td>
<td>tmmpaOZ3nQg</td>
</tr>
<tr>
<td>https://www.youtube.com/watch?v=LuAyGWqYza4</td>
<td>www.youtube.com</td>
<td>eib0a6</td>
<td>1577836845</td>
<td>FTMMen</td>
<td>00110100-00110010</td>
<td>LuAyGWqYza4</td>
</tr>
<tr>
<td>https://www.youtube.com/watch?v=d4hJA7IUaDs</td>
<td>www.youtube.com</td>
<td>eib0a6</td>
<td>1577836845</td>
<td>FTMMen</td>
<td>00110100-00110010</td>
<td>d4hJA7IUaDs</td>
</tr>
<tr>
<td>https://www.youtube.com/watch?v=5U_2V6yr-Nw&feature=youtu.be</td>
<td>www.youtube.com</td>
<td>eib0a6</td>
<td>1577836845</td>
<td>FTMMen</td>
<td>00110100-00110010</td>
<td>5U_2V6yr-Nw</td>
</tr>
<tr>
<td>https://youtu.be/tmmpaOZ3nQg</td>
<td>youtu.be</td>
<td>eib0em</td>
<td>1577836862</td>
<td>SteamVR</td>
<td>Zweetprot</td>
<td>tmmpaOZ3nQg</td>
</tr>
<tr>
<td>https://youtu.be/mumHdNhclrM</td>
<td>youtu.be</td>
<td>eib0h6</td>
<td>1577836869</td>
<td>SmallYTChannel</td>
<td>thevinamazing</td>
<td>mumHdNhclrM</td>
</tr>
<tr>
<td>https://youtu.be/tmmpaOZ3nQg</td>
<td>youtu.be</td>
<td>eib0nk</td>
<td>1577836892</td>
<td>VRGaming</td>
<td>Zweetprot</td>
<td>tmmpaOZ3nQg</td>
</tr>
<tr>
<td>https://www.youtube.com/watch?v=uxtqIvOP0rQ</td>
<td>www.youtube.com</td>
<td>eib0se</td>
<td>1577836909</td>
<td>ripplers</td>
<td>daNext1</td>
<td>uxtqIvOP0rQ</td>
</tr>
<tr>
<td>https://youtu.be/tmmpaOZ3nQg</td>
<td>youtu.be</td>
<td>eib0ur</td>
<td>1577836917</td>
<td>HTC_Vive</td>
<td>Zweetprot</td>
<td>tmmpaOZ3nQg</td>
</tr>
<tr>
<td>https://youtu.be/HE1Vy5lKuzw</td>
<td>youtu.be</td>
<td>eib0wn</td>
<td>1577836926</td>
<td>HelpMeFind</td>
<td>Sanojoj</td>
<td>HE1Vy5lKuzw</td>
</tr>
</tbody>
</table>
</center>
<br />
<br />
<table align=center width=670px>
<tr>
<td><span style="font-size:11pt">
<span style="font-size: 14pt">If you find this dataset / framework useful, please kindly cite our paper:</span><br /><br />
<left>
<code>
<text style="color: red">@inproceedings</text>{jin2023predicting,<br />
<text style="color: blue">title</text>=Predicting Information Pathways Across Online
Communities},<br />
<text style="color: blue">author</text>={Jin, Yiqiao and Lee, Yeon-Chang and Sharma, Kartik
and Ye, Meng and Sikka, Karan and Divakaran, Ajay and Kumar, Srijan},<br />
<text style="color: blue">booktitle</text>={KDD},<br />
<text style="color: blue">year</text>={2023}<br />
}
</code>
</left>
</td>
</tr>
</table>
<hr>
<br>
</body>
</html>