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Unsupervised Classification and Network Analysis of the Reddit Communities with Spiking Neural Network and Exponential-Family Random Graph Model.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Unsupervised Classification and Network Analysis of the Reddit Communities with Spiking Neural Network and Exponential-Family Random Graph Model./
Author:	He, Jie.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	54 p.
Notes:	Source: Masters Abstracts International, Volume: 83-01.
Contained By:	Masters Abstracts International83-01.
Subject:	Statistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28544601
ISBN:	9798516086656

Unsupervised Classification and Network Analysis of the Reddit Communities with Spiking Neural Network and Exponential-Family Random Graph Model.
He, Jie.

Unsupervised Classification and Network Analysis of the Reddit Communities with Spiking Neural Network and Exponential-Family Random Graph Model. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 54 p.

Source: Masters Abstracts International, Volume: 83-01.

Thesis (M.S.)--University of California, Los Angeles, 2021.

This item must not be sold to any third party vendors.

The spiking neural networks (SNNs) are often described as the "third generation" of neural networks, and they are expected to improve the existing deep neural networks. Recent advancements of SNNs mainly focused on processing and learning the visual signals, while SNNs' potential in classifying non-image data is rarely tested. In this thesis, we extended the functionality of BindsNET, a popular SNN simulation software, to allow it to process and classify non-image data. We built an SNN that can efficiently classify the embedding data of 51,278 online communities ("subreddits") on Reddit.com in an unsupervised fashion. With the classification result, we further analyzed the social network structure of the subreddit clusters of video games, using the exponential-family random graph model (ERGM). We discovered that communities of the same video game genre or same platform are more likely to be hostile towards each other. The number of subscribers and the availability of online mode are also significant factors in the hostility of a subreddit.

ISBN: 9798516086656Subjects--Topical Terms:

517247
Statistics.
Subjects--Index Terms:

Network analysis

Unsupervised Classification and Network Analysis of the Reddit Communities with Spiking Neural Network and Exponential-Family Random Graph Model.
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245 1 0 $a Unsupervised Classification and Network Analysis of the Reddit Communities with Spiking Neural Network and Exponential-Family Random Graph Model.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 54 p.
500 $a Source: Masters Abstracts International, Volume: 83-01.
500 $a Advisor: Wu, Yingnian.
502 $a Thesis (M.S.)--University of California, Los Angeles, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a The spiking neural networks (SNNs) are often described as the "third generation" of neural networks, and they are expected to improve the existing deep neural networks. Recent advancements of SNNs mainly focused on processing and learning the visual signals, while SNNs' potential in classifying non-image data is rarely tested. In this thesis, we extended the functionality of BindsNET, a popular SNN simulation software, to allow it to process and classify non-image data. We built an SNN that can efficiently classify the embedding data of 51,278 online communities ("subreddits") on Reddit.com in an unsupervised fashion. With the classification result, we further analyzed the social network structure of the subreddit clusters of video games, using the exponential-family random graph model (ERGM). We discovered that communities of the same video game genre or same platform are more likely to be hostile towards each other. The number of subscribers and the availability of online mode are also significant factors in the hostility of a subreddit.
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650 4 $a Statistics. $3 517247
650 4 $a Information technology. $3 532993
653 $a Network analysis
653 $a Reddit
653 $a Neural network
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773 0 $t Masters Abstracts International $g 83-01.
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